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Yong Liu 0007
Person information
- affiliation: Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- affiliation (PhD 2007): Zhejiang University, College of Computer Science, Hangzhou, China
Other persons with the same name
- Yong Liu — disambiguation page
- Yong Liu 0001 — Outreach Corporation, Seattle, WA, USA (and 3 more)
- Yong Liu 0002 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center, Beijing, China
- Yong Liu 0003 — Peking University, College of Environmental Science and Engineering, Beijing, China
- Yong Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yong Liu 0005 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yong Liu 0006 — University of Tennessee, Knoxville, TN, USA
- Yong Liu 0008 — Wenzhou Medical University, School of Ophthalmology and Optometry, China
- Yong Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yong Liu 0010 — Aalto University School of Business, Department of Information and Service Economy, Aalto, Finland (and 3 more)
- Yong Liu 0011 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Yong Liu 0012 — The University of Aizu, Aizu-Wakamatsu, Japan (and 4 more)
- Yong Liu 0013 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA (and 1 more)
- Yong Liu 0014 — Texas A&M University, College Station, USA
- Yong Liu 0015 — Nottingham Trent University, UK
- Yong Liu 0016 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Yong Liu 0017 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Yong Liu 0018 — Renmin University of China, China (and 2 more)
- Yong Liu 0019 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yong Liu 0020 — Huawei Noah's Ark Lab, Singapore (and 1 more)
- Yong Liu 0021 — Beijing Polytechnic, School of Telecommunication Engineering, Beijing, China
- Yong Liu 0022 — Jiangnan University, School of Business, Wuxi, China
- Yong Liu 0023 — Shanghai Jiao Tong University, China (and 3 more)
- Yong Liu 0024 — Indiana University, Department of Computer Science, Bloomington, IN, USA
- Yong Liu 0025 — Northwestern Polytechnical University, College of Automation, Xi'an, China
- Yong Liu 0026 — A*STAR, Artificial Intelligence Initiative, Singapore (and 2 more)
- Yong Liu 0027 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yong Liu 0028 — Chongqing Jiaotong University, School of Economics and Management, Chongqing, China
- Yong Liu 0029 — Heilongjiang University, China
- Yong Liu 0030 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Yong Liu 0031 — Xi'an Jiaotong University, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, China (and 1 more)
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2020 – today
- 2024
- [j119]Jianbiao Mei, Mengmeng Wang, Yu Yang, Zizhang Li, Yong Liu:
Learning spatiotemporal relationships with a unified framework for video object segmentation. Appl. Intell. 54(8): 6138-6153 (2024) - [j118]Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao:
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. Int. J. Comput. Vis. 132(9): 3509-3536 (2024) - [j117]Yukai Ma, Han Li, Xiangrui Zhao, Yaqing Gu, Xiaolei Lang, Laijian Li, Yong Liu:
FMCW Radar on LiDAR map localization in structural urban environments. J. Field Robotics 41(3): 699-717 (2024) - [j116]Yunkai Zhuang, Yong Liu, Shangdong Yang, Yang Gao:
Selective policy transfer in multi-agent systems with sparse interactions. Knowl. Based Syst. 300: 112031 (2024) - [j115]Lina Liu, Xibin Song, Mengmeng Wang, Yuchao Dai, Yong Liu, Liangjun Zhang:
AGDF-Net: Learning Domain Generalizable Depth Features With Adaptive Guidance Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3137-3155 (2024) - [j114]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j113]Yue Han, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Yong Liu, Lu Qi, Ming-Hsuan Yang, Xiangtai Li:
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9221-9238 (2024) - [j112]Jianbiao Mei, Yu Yang, Mengmeng Wang, Zizhang Li, Jongwon Ra, Yong Liu:
LiDAR video object segmentation with dynamic kernel refinement. Pattern Recognit. Lett. 178: 21-27 (2024) - [j111]Yansong Chen, Yuchen Wu, Helei Yang, Junjie Cao, Qinqin Wang, Yong Liu:
A Distributed Pipeline for Collaborative Pursuit in the Target Guarding Problem. IEEE Robotics Autom. Lett. 9(3): 2064-2071 (2024) - [j110]Linpeng Peng, Rongyao Cai, Jingyang Xiang, Junyu Zhu, Weiwei Liu, Wang Gao, Yong Liu:
LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation. IEEE Robotics Autom. Lett. 9(9): 7995-8002 (2024) - [j109]Xingxing Zuo, Mingming Zhang, Mengmeng Wang, Yiming Chen, Guoquan Huang, Yong Liu, Mingyang Li:
Visual-Based Kinematics and Pose Estimation for Skid-Steering Robots. IEEE Trans Autom. Sci. Eng. 21(1): 91-105 (2024) - [j108]Gang Xu, Xiao Kang, Helei Yang, Yuchen Wu, Weiwei Liu, Junjie Cao, Yong Liu:
Distributed Multi-Vehicle Task Assignment and Motion Planning in Dense Environments. IEEE Trans Autom. Sci. Eng. 21(4): 7027-7039 (2024) - [j107]Kexin Zhang, Rongyao Cai, Chunlin Zhou, Yong Liu:
Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection. IEEE Trans. Ind. Informatics 20(5): 7641-7653 (2024) - [j106]Rongyao Cai, Wang Gao, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu:
Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection. IEEE Trans. Ind. Informatics 20(11): 12814-12825 (2024) - [j105]Jianbiao Mei, Yu Yang, Mengmeng Wang, Junyu Zhu, Jongwon Ra, Yukai Ma, Laijian Li, Yong Liu:
Camera-Based 3D Semantic Scene Completion With Sparse Guidance Network. IEEE Trans. Image Process. 33: 5468-5481 (2024) - [j104]Han Li, Yukai Ma, Yuehao Huang, Yaqing Gu, Weihua Xu, Yong Liu, Xingxing Zuo:
RIDERS: Radar-Infrared Depth Estimation for Robust Sensing. IEEE Trans. Intell. Transp. Syst. 25(11): 18764-18778 (2024) - [j103]Yuang Liu, Jun Chen, Yong Liu:
DCCD: Reducing Neural Network Redundancy via Distillation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10006-10017 (2024) - [j102]Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu:
Learning Multi-Agent Cooperation via Considering Actions of Teammates. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11553-11564 (2024) - [c142]Jongwon Ra, Mengmeng Wang, Jianbiao Mei, Shanqi Liu, Yu Yang, Yong Liu:
Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks. 3DV 2024: 842-851 - [c141]Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu:
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. AAAI 2024: 5517-5525 - [c140]Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao:
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. ACL (Findings) 2024: 4864-4888 - [c139]Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu:
MaxQ: Multi-Axis Query for N: m Sparsity Network. CVPR 2024: 15845-15854 - [c138]Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu:
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CVPR 2024: 26541-26551 - [c137]Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu:
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks. ECCV (33) 2024: 1-18 - [c136]Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu:
Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control. ECCV (50) 2024: 20-36 - [c135]Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang:
Timestep-Aware Correction for Quantized Diffusion Models. ECCV (66) 2024: 215-232 - [c134]Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu:
Structured Optimal Brain Pruning for Large Language Models. EMNLP 2024: 13991-14007 - [c133]Rongyao Cai, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu:
DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification. ICASSP 2024: 5625-5629 - [c132]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu:
Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. ICASSP 2024: 7065-7069 - [c131]Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu:
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR 2024 - [c130]Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu:
Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer. ICRA 2024: 337-344 - [c129]Chencan Fu, Lin Li, Jianbiao Mei, Yukai Ma, Linpeng Peng, Xiangrui Zhao, Yong Liu:
A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation. ICRA 2024: 8493-8499 - [c128]Junyu Zhu, Lina Liu, Yu Tang, Feng Wen, Wanlong Li, Yong Liu:
Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation. ICRA 2024: 9079-9085 - [c127]Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong Liu, Xingxing Zuo:
RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale. ICRA 2024: 10665-10672 - [c126]Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu:
MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. ACM Multimedia 2024: 10794-10803 - [c125]Yizhang Jin, Jian Li, Jiangning Zhang, Jianlong Hu, Zhenye Gan, Xin Tan, Yong Liu, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description. ACM Multimedia 2024: 11420-11425 - [c124]Zhexi Peng, Tianjia Shao, Yong Liu, Jingke Zhou, Yin Yang, Jingdong Wang, Kun Zhou:
RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting. SIGGRAPH (Conference Paper Track) 2024: 30 - [i139]Yue Han, Jiangning Zhang, Junwei Zhu, Xiangtai Li, Yanhao Ge, Wei Li, Chengjie Wang, Yong Liu, Xiaoming Liu, Ying Tai:
A Generalist FaceX via Learning Unified Facial Representation. CoRR abs/2401.00551 (2024) - [i138]Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong Liu, Xingxing Zuo:
RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale. CoRR abs/2401.04325 (2024) - [i137]Junyu Zhu, Lina Liu, Bofeng Jiang, Feng Wen, Hongbo Zhang, Wanlong Li, Yong Liu:
Self-supervised Event-based Monocular Depth Estimation using Cross-modal Consistency. CoRR abs/2401.07218 (2024) - [i136]Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu:
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition. CoRR abs/2401.11649 (2024) - [i135]Han Li, Yukai Ma, Yuehao Huang, Yaqing Gu, Weihua Xu, Yong Liu, Xingxing Zuo:
RIDERS: Radar-Infrared Depth Estimation for Robust Sensing. CoRR abs/2402.02067 (2024) - [i134]Weiwei Liu, Wenxuan Hu, Wei Jing, Lanxin Lei, Lingping Gao, Yong Liu:
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning. CoRR abs/2402.13481 (2024) - [i133]Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao:
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. CoRR abs/2402.19465 (2024) - [i132]Siqi Li, Jun Chen, Jingyang Xiang, Chengrui Zhu, Yong Liu:
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction. CoRR abs/2403.08204 (2024) - [i131]Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu:
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CoRR abs/2403.16002 (2024) - [i130]Haonan Lin, Mengmeng Wang, Yan Chen, Wenbin An, Yuzhe Yao, Guang Dai, Qianying Wang, Yong Liu, Jingdong Wang:
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation. CoRR abs/2403.19235 (2024) - [i129]Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang:
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. CoRR abs/2404.00878 (2024) - [i128]Xiaolei Lang, Laijian Li, Hang Zhang, Feng Xiong, Mu Xu, Yong Liu, Xingxing Zuo, Jiajun Lv:
Gaussian-LIC: Photo-realistic LiDAR-Inertial-Camera SLAM with 3D Gaussian Splatting. CoRR abs/2404.06926 (2024) - [i127]Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao:
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. CoRR abs/2404.10760 (2024) - [i126]Zhexi Peng, Tianjia Shao, Yong Liu, Jingke Zhou, Yin Yang, Jingdong Wang, Kun Zhou:
RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting. CoRR abs/2404.19706 (2024) - [i125]Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu:
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control. CoRR abs/2405.12970 (2024) - [i124]Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao:
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. CoRR abs/2405.15324 (2024) - [i123]Hanchen Tai, Qingdong He, Jiangning Zhang, Yijie Qian, Zhenyu Zhang, Xiaobin Hu, Yabiao Wang, Yong Liu:
Open-Vocabulary SAM3D: Understand Any 3D Scene. CoRR abs/2405.15580 (2024) - [i122]Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu:
ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection. CoRR abs/2406.03262 (2024) - [i121]Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang:
Timestep-Aware Correction for Quantized Diffusion Models. CoRR abs/2407.03917 (2024) - [i120]Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu:
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks. CoRR abs/2407.05257 (2024) - [i119]Jie Zhang, Dongrui Liu, Chen Qian, Ziyue Gan, Yong Liu, Yu Qiao, Jing Shao:
The Better Angels of Machine Personality: How Personality Relates to LLM Safety. CoRR abs/2407.12344 (2024) - [i118]Yukai Ma, Jianbiao Mei, Xuemeng Yang, Licheng Wen, Weihua Xu, Jiangning Zhang, Botian Shi, Yong Liu, Xingxing Zuo:
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera. CoRR abs/2407.16197 (2024) - [i117]Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu:
MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. CoRR abs/2407.19976 (2024) - [i116]Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao:
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving. CoRR abs/2408.00415 (2024) - [i115]Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu:
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving. CoRR abs/2408.14197 (2024) - [i114]Yu Yang, Jianbiao Mei, Liang Liu, Siliang Du, Yilin Xiao, Jongwon Ra, Yong Liu, Xiao Xu, Huifeng Wu:
DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries. CoRR abs/2408.15813 (2024) - [i113]Yabiao Wang, Shuo Wang, Jiangning Zhang, Ke Fan, Jiafu Wu, Zhengkai Jiang, Yong Liu:
Temporal and Interactive Modeling for Efficient Human-Human Motion Generation. CoRR abs/2408.17135 (2024) - [i112]Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Tiantian Wei, Min Dou, Botian Shi, Yong Liu:
DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes. CoRR abs/2409.04003 (2024) - [i111]Kai Tang, Xiaolei Lang, Yukai Ma, Yuehao Huang, Laijian Li, Yong Liu, Jiajun Lv:
Monocular Event-Inertial Odometry with Adaptive decay-based Time Surface and Polarity-aware Tracking. CoRR abs/2409.13971 (2024) - [i110]Yue Han, Junwei Zhu, Yuxiang Feng, Xiaozhong Ji, Keke He, Xiangtai Li, Zhucun Xue, Yong Liu:
MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning. CoRR abs/2409.15179 (2024) - [i109]Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao:
REEF: Representation Encoding Fingerprints for Large Language Models. CoRR abs/2410.14273 (2024) - [i108]Yuchen Wu, Yifan Yang, Gang Xu, Junjie Cao, Yansong Chen, Licheng Wen, Yong Liu:
Hierarchical Search-Based Cooperative Motion Planning. CoRR abs/2410.15710 (2024) - [i107]Haonan Lin, Mengmeng Wang, Jiahao Wang, Wenbin An, Yan Chen, Yong Liu, Feng Tian, Guang Dai, Jingdong Wang, Qianying Wang:
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing. CoRR abs/2410.18756 (2024) - 2023
- [j101]Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - [j100]Yu Yang, Mengmeng Wang, Jianbiao Mei, Yong Liu:
Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos. Appl. Intell. 53(12): 15516-15536 (2023) - [j99]Yunliang Jiang, Chenyang Gu, Zhenfeng Xue, Xiongtao Zhang, Yong Liu:
Mask-guided image person removal with data synthesis. IET Image Process. 17(7): 2214-2224 (2023) - [j98]Chao Xu, Xia Wu, Mengmeng Wang, Feng Qiu, Yong Liu, Jun Ren:
Improving dynamic gesture recognition in untrimmed videos by an online lightweight framework and a new gesture dataset ZJUGesture. Neurocomputing 523: 58-68 (2023) - [j97]Weiwei Liu, Linpeng Peng, Licheng Wen, Jian Yang, Yong Liu:
Decomposing shared networks for separate cooperation with multi-agent reinforcement learning. Inf. Sci. 641: 119085 (2023) - [j96]Weiwei Liu, Jing Wei, Shanqi Liu, Yudi Ruan, Kexin Zhang, Yang Jiang, Yong Liu:
Expert demonstrations guide reward decomposition for multi-agent cooperation. Neural Comput. Appl. 35(27): 19847-19863 (2023) - [j95]Honglin Lin, Mengmeng Wang, Yong Liu, Jiaxin Kou:
Correlation-based and content-enhanced network for video style transfer. Pattern Anal. Appl. 26(1): 343-355 (2023) - [j94]Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu:
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3347-3362 (2023) - [j93]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-free quantization via mixed-precision compensation without fine-tuning. Pattern Recognit. 143: 109780 (2023) - [j92]Yufei Liang, Mengmeng Wang, Yining Jin, Shuwen Pan, Yong Liu:
Hierarchical supervisions with two-stream network for Deepfake detection. Pattern Recognit. Lett. 172: 121-127 (2023) - [j91]Shipeng Bai, Jun Chen, Yu Yang, Yong Liu:
Multi-Dimension Compression of Feed-Forward Network in Vision Transformers. Pattern Recognit. Lett. 176: 56-61 (2023) - [j90]Lina Liu, Xibin Song, Jiadai Sun, Xiaoyang Lyu, Lin Li, Yong Liu, Liangjun Zhang:
MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion. IEEE Robotics Autom. Lett. 8(2): 920-927 (2023) - [j89]Laijian Li, Yukai Ma, Kai Tang, Xiangrui Zhao, Chao Chen, Jianxin Huang, Jianbiao Mei, Yong Liu:
Geo-Localization With Transformer-Based 2D-3D Match Network. IEEE Robotics Autom. Lett. 8(8): 4855-4862 (2023) - [j88]Xiaolei Lang, Chao Chen, Kai Tang, Yukai Ma, Jiajun Lv, Yong Liu, Xingxing Zuo:
Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry Using Non-Uniform B-Spline. IEEE Robotics Autom. Lett. 8(11): 7074-7081 (2023) - [j87]Chao Chen, Yukai Ma, Jiajun Lv, Xiangrui Zhao, Laijian Li, Yong Liu, Wang Gao:
OL-SLAM: A Robust and Versatile System of Object Localization and SLAM. Sensors 23(2): 801 (2023) - [j86]Tao Huang, Zhe Chen, Wang Gao, Zhenfeng Xue, Yong Liu:
A USV-UAV Cooperative Trajectory Planning Algorithm with Hull Dynamic Constraints. Sensors 23(4): 1845 (2023) - [j85]Xingxing Zuo, Yong Liu:
Efficient Intelligence with Applications in Embedded Sensing. Sensors 23(10): 4816 (2023) - [j84]Yiwei Chen, Chen Jiang, Yong Liu, Hongye Su, Xiaomin Hu, Yu Pan:
A Compact Upconversion Single-Photon Imager for Full-Range and Accurate 3-D Imaging. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j83]Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan:
Omni-Frequency Channel-Selection Representations for Unsupervised Anomaly Detection. IEEE Trans. Image Process. 32: 4327-4340 (2023) - [j82]Jianbiao Mei, Mengmeng Wang, Yu Yang, Yanjun Li, Yong Liu:
Fast Real-Time Video Object Segmentation with a Tangled Memory Network. ACM Trans. Intell. Syst. Technol. 14(3): 51:1-51:21 (2023) - [j81]Tianxin Huang, Hao Zou, Jinhao Cui, Jiangning Zhang, Xuemeng Yang, Lin Li, Yong Liu:
Adaptive Recurrent Forward Network for Dense Point Cloud Completion. IEEE Trans. Multim. 25: 5903-5915 (2023) - [c123]Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu:
Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition. AAAI 2023: 3001-3009 - [c122]Tao Huang, Zhenfeng Xue, Zhe Chen, Yong Liu:
Efficient Trajectory Planning and Control for USV with Vessel Dynamics and Differential Flatness. AIM 2023: 1273-1280 - [c121]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 31-39 - [c120]Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu:
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. CoRL 2023: 2465-2477 - [c119]Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu:
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution. CVPR 2023: 1651-1661 - [c118]Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu:
Correlation Pyramid Network for 3D Single Object Tracking. CVPR Workshops 2023: 3216-3225 - [c117]Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu:
High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning. CVPR 2023: 6609-6619 - [c116]Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu:
Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space. CVPR 2023: 12208-12217 - [c115]Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu:
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. ICCV 2023: 1740-1750 - [c114]Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu:
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. ICCV 2023: 5853-5862 - [c113]Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu:
Learning Global-aware Kernel for Image Harmonization. ICCV 2023: 7501-7510 - [c112]Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu:
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking. ICCV 2023: 9919-9929 - [c111]Gang Xu, Deye Zhu, Junjie Cao, Yong Liu, Jian Yang:
Shunted Collision Avoidance for Multi-UAV Motion Planning with Posture Constraints. ICRA 2023: 3671-3678 - [c110]Yukai Ma, Xiangrui Zhao, Han Li, Yaqing Gu, Xiaolei Lang, Yong Liu:
RoLM: Radar on LiDAR Map Localization. ICRA 2023: 3976-3982 - [c109]Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation. ICRA 2023: 4924-4930 - [c108]Lin Li, Wendong Ding, Yongkun Wen, Yufei Liang, Yong Liu, Guowei Wan:
A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation. ICRA 2023: 8341-8348 - [c107]Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu:
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion. IROS 2023: 1-8 - [c106]Chao Chen, Hangyu Wu, Yukai Ma, Jiajun Lv, Laijian Li, Yong Liu:
LiDAR-Inertial SLAM with Efficiently Extracted Planes. IROS 2023: 1497-1504 - [c105]Helei Yang, Peng Ge, Junjie Cao, Yifan Yang, Yong Liu:
Large Scale Pursuit-Evasion Under Collision Avoidance Using Deep Reinforcement Learning. IROS 2023: 2232-2239 - [c104]Yinlong Bai, Zhiqiang Miao, Xiangke Wang, Yong Liu, Hesheng Wang, Yaonan Wang:
VDBblox: Accurate and Efficient Distance Fields for Path Planning and Mesh Reconstruction. IROS 2023: 7187-7194 - [c103]Junyu Zhu, Lina Liu, Bofeng Jiang, Feng Wen, Hongbo Zhang, Wanlong Li, Yong Liu:
Self-Supervised Event-Based Monocular Depth Estimation Using Cross-Modal Consistency. IROS 2023: 7704-7710 - [c102]Jianbiao Mei, Yu Yang, Mengmeng Wang, Xiaojun Hou, Laijian Li, Yong Liu:
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation. IROS 2023: 7726-7733 - [c101]Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu:
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. ISBI 2023: 1-5 - [c100]Jianbiao Mei, Yu Yang, Mengmeng Wang, Zizhang Li, Xiaojun Hou, Jongwon Ra, Laijian Li, Yong Liu:
CenterLPS: Segment Instances by Centers for LiDAR Panoptic Segmentation. ACM Multimedia 2023: 1884-1894 - [c99]Jingyang Xiang, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu:
SUBP: Soft Uniform Block Pruning for 1×N Sparse CNNs Multithreading Acceleration. NeurIPS 2023 - [c98]Haoming Long, Zhenfeng Xue, Tao Huang, Yong Liu:
Learning-Based Trajectory Tracking Control of USV Based on Multi-Source Data. ROBIO 2023: 1-8 - [i106]Yue Han, Jiangning Zhang, Zhucun Xue, Chao Xu, Xintian Shen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li:
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation. CoRR abs/2301.01156 (2023) - [i105]Haoxin Chen, Mengmeng Wang, Yong Liu:
BSNet: Lane Detection via Draw B-spline Curves Nearby. CoRR abs/2301.06910 (2023) - [i104]Jiazheng Xing, Mengmeng Wang, Boyu Mu, Yong Liu:
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition. CoRR abs/2301.07944 (2023) - [i103]Junyu Zhu, Lina Liu, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation. CoRR abs/2301.08414 (2023) - [i102]Jun Chen, Hanwen Chen, Mengmeng Wang, Yong Liu:
Learning Discretized Neural Networks under Ricci Flow. CoRR abs/2302.03390 (2023) - [i101]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2302.06872 (2023) - [i100]Jiajun Lv, Xiaolei Lang, Jinhong Xu, Mengmeng Wang, Yong Liu, Xingxing Zuo:
Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM. CoRR abs/2302.07456 (2023) - [i99]Chencan Fu, Lin Li, Linpeng Peng, Yukai Ma, Xiangrui Zhao, Yong Liu:
OverlapNetVLAD: A Coarse-to-Fine Framework for LiDAR-based Place Recognition. CoRR abs/2303.06881 (2023) - [i98]Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu:
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction. CoRR abs/2303.08605 (2023) - [i97]Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu:
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution. CoRR abs/2304.03542 (2023) - [i96]Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu:
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning. CoRR abs/2305.02572 (2023) - [i95]Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu:
Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generator. CoRR abs/2305.02594 (2023) - [i94]Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu:
Correlation Pyramid Network for 3D Single Object Tracking. CoRR abs/2305.09195 (2023) - [i93]Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu:
Learning Global-aware Kernel for Image Harmonization. CoRR abs/2305.11676 (2023) - [i92]Juntao Jiang, Xiyu Chen, Guanzhong Tian, Yong Liu:
ViG-UNet: Vision Graph Neural Networks for Medical Image Segmentation. CoRR abs/2306.04905 (2023) - [i91]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i90]Jianbiao Mei, Yu Yang, Mengmeng Wang, Xiaojun Hou, Laijian Li, Yong Liu:
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation. CoRR abs/2306.15348 (2023) - [i89]Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong Liu:
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion. CoRR abs/2306.15349 (2023) - [i88]Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. CoRR abs/2307.00498 (2023) - [i87]Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu:
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions. CoRR abs/2307.02200 (2023) - [i86]Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu:
Multimodal Adaptation of CLIP for Few-Shot Action Recognition. CoRR abs/2308.01532 (2023) - [i85]Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu:
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. CoRR abs/2308.07209 (2023) - [i84]Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu:
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. CoRR abs/2308.09346 (2023) - [i83]Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu:
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR abs/2308.10547 (2023) - [i82]Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu:
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking. CoRR abs/2308.12549 (2023) - [i81]Junyu Zhu, Lina Liu, Yu Tang, Feng Wen, Wanlong Li, Yong Liu:
Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation. CoRR abs/2308.14525 (2023) - [i80]Xiaolei Lang, Chao Chen, Kai Tang, Yukai Ma, Jiajun Lv, Yong Liu, Xingxing Zuo:
Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline. CoRR abs/2309.09808 (2023) - [i79]Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong Liu:
SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration. CoRR abs/2310.06218 (2023) - [i78]Xuhai Chen, Jiangning Zhang, Guanzhong Tian, Haoyang He, Wuhao Zhang, Yabiao Wang, Chengjie Wang, Yunsheng Wu, Yong Liu:
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection. CoRR abs/2311.00453 (2023) - [i77]Jiangning Zhang, Xuhai Chen, Zhucun Xue, Yabiao Wang, Chengjie Wang, Yong Liu:
Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection. CoRR abs/2311.02612 (2023) - [i76]Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao:
Towards Knowledge-driven Autonomous Driving. CoRR abs/2312.04316 (2023) - [i75]Jianbiao Mei, Yu Yang, Mengmeng Wang, Junyu Zhu, Xiangrui Zhao, Jongwon Ra, Laijian Li, Yong Liu:
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network. CoRR abs/2312.05752 (2023) - [i74]Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu:
MaxQ: Multi-Axis Query for N: M Sparsity Network. CoRR abs/2312.07061 (2023) - [i73]Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming-Hsuan Yang, Dacheng Tao:
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection. CoRR abs/2312.07495 (2023) - [i72]Jingyang Xiang, Zhuangzhi Chen, Jianbiao Mei, Siqi Li, Jun Chen, Yong Liu:
CR-SFP: Learning Consistent Representation for Soft Filter Pruning. CoRR abs/2312.11555 (2023) - 2022
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Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM. Auton. Robots 46(4): 535-551 (2022) - [j79]Zhenfeng Xue, Weijie Mao, Yong Liu:
Image-level dataset synthesis with an end-to-end trainable framework. IET Image Process. 16(8): 2228-2239 (2022) - [j78]Tianxin Huang, Yong Liu, Zaisheng Pan:
Deep Residual Surrogate Model. Inf. Sci. 605: 86-98 (2022) - [j77]Jie Su, Zhongfu Jin, Jie Ren, Jiandang Yang, Yong Liu:
GDFormer: A Graph Diffusing Attention based approach for Traffic Flow Prediction. Pattern Recognit. Lett. 156: 126-132 (2022) - [j76]Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang:
Fast Point Cloud Sampling Network. Pattern Recognit. Lett. 164: 216-223 (2022) - [j75]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu:
RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network. IEEE Robotics Autom. Lett. 7(2): 4321-4328 (2022) - [j74]Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang:
DA$^{2}$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping. IEEE Robotics Autom. Lett. 7(4): 8941-8948 (2022) - [j73]Xiaolei Lang, Jiajun Lv, Jianxin Huang, Yukai Ma, Yong Liu, Xingxing Zuo:
Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras. IEEE Robotics Autom. Lett. 7(4): 11537-11544 (2022) - [j72]Licheng Wen, Yong Liu, Hongliang Li:
CL-MAPF: Multi-Agent Path Finding for Car-Like robots with kinematic and spatiotemporal constraints. Robotics Auton. Syst. 150: 103997 (2022) - [j71]Yeneng Lin, Mengmeng Wang, Wenzhou Chen, Wang Gao, Lei Li, Yong Liu:
Multiple Object Tracking of Drone Videos by a Temporal-Association Network with Separated-Tasks Structure. Remote. Sens. 14(16): 3862 (2022) - [j70]Qing Shen, Xiongtao Zhang, Jungang Lou, Yong Liu, Yunliang Jiang:
Interval-valued intuitionistic fuzzy multi-attribute second-order decision making based on partial connection numbers of set pair analysis. Soft Comput. 26(19): 10389-10400 (2022) - [j69]Jiangning Zhang, Xianfang Zeng, Chao Xu, Yong Liu:
Real-Time Audio-Guided Multi-Face Reenactment. IEEE Signal Process. Lett. 29: 1-5 (2022) - [j68]Chao Xu, Jiangning Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Multilevel Spatial-Temporal Feature Aggregation for Video Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7809-7820 (2022) - [j67]Junjie Cao, Yujie Wang, Yong Liu, Xuesong Ni:
Multi-Robot Learning Dynamic Obstacle Avoidance in Formation With Information-Directed Exploration. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1357-1367 (2022) - [j66]Mengmeng Wang, Jianbiao Mei, Lina Liu, Guanzhong Tian, Yong Liu, Zaisheng Pan:
Delving Deeper Into Mask Utilization in Video Object Segmentation. IEEE Trans. Image Process. 31: 6255-6266 (2022) - [j65]Yunliang Jiang, Jinbin Fan, Yong Liu, Xiongtao Zhang:
Deep Graph Gaussian Processes for Short-Term Traffic Flow Forecasting From Spatiotemporal Data. IEEE Trans. Intell. Transp. Syst. 23(11): 20177-20186 (2022) - [j64]Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu, Yunliang Jiang:
Extended Feature Pyramid Network for Small Object Detection. IEEE Trans. Multim. 24: 1968-1979 (2022) - [j63]Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu:
3QNet: 3D Point Cloud Geometry Quantization Compression Network. ACM Trans. Graph. 41(6): 187:1-187:13 (2022) - [j62]Jiajun Lv, Xingxing Zuo, Kewei Hu, Jinhong Xu, Guoquan Huang, Yong Liu:
Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems. IEEE Trans. Robotics 38(6): 3734-3753 (2022) - [j61]Jing Fan, Shaowen Gao, Yong Liu, Xinqiang Ma, Jiandang Yang, Changjie Fan:
Semisupervised Game Player Categorization From Very Big Behavior Log Data. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3419-3430 (2022) - [c97]Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu:
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. AAAI 2022: 3271-3279 - [c96]Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian:
CICC: Channel Pruning via the Concentration of Information and Contributions of Channels. BMVC 2022: 243 - [c95]Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu:
Region-Aware Face Swapping. CVPR 2022: 7622-7631 - [c94]Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu:
Resolution-Free Point Cloud Sampling Network with Data Distillation. ECCV (2) 2022: 54-70 - [c93]Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu:
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping. ECCV (15) 2022: 54-71 - [c92]Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu:
Learning to Train a Point Cloud Reconstruction Network Without Matching. ECCV (1) 2022: 179-194 - [c91]Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. ECCV (9) 2022: 263-279 - [c90]Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu:
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context. ECCV (35) 2022: 267-284 - [c89]Jianxin Huang, Laijian Li, Xiangrui Zhao, Xiaolei Lang, Deye Zhu, Yong Liu:
LODM: Large-scale Online Dense Mapping for UAV. IROS 2022: 2281-2288 - [i71]Gongxin Yao, Yiwei Chen, Yong Liu, Xiaomin Hu, Yu Pan:
Robust photon-efficient imaging using a pixel-wise residual shrinkage network. CoRR abs/2201.01453 (2022) - [i70]Yiwei Chen, Gongxin Yao, Yong Liu, Yu Pan:
Deep Domain Adversarial Adaptation for Photon-efficient Imaging Based on Spatiotemporal Inception Network. CoRR abs/2201.02475 (2022) - [i69]Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu:
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution. CoRR abs/2201.04364 (2022) - [i68]Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan:
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection. CoRR abs/2203.00259 (2022) - [i67]Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu:
Region-Aware Face Swapping. CoRR abs/2203.04564 (2022) - [i66]Jiajun Lv, Xingxing Zuo, Kewei Hu, Jinhong Xu, Guoquan Huang, Yong Liu:
Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems. CoRR abs/2205.03276 (2022) - [i65]Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao:
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. CoRR abs/2206.09325 (2022) - [i64]Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu:
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context. CoRR abs/2207.08132 (2022) - [i63]Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang:
DA2 Dataset: Toward Dexterity-Aware Dual-Arm Grasping. CoRR abs/2208.00408 (2022) - [i62]Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. CoRR abs/2208.01925 (2022) - [i61]Xiaolei Lang, Jiajun Lv, Jianxin Huang, Yukai Ma, Yong Liu, Xingxing Zuo:
Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras. CoRR abs/2208.12008 (2022) - [i60]Tao Huang, Zhenfeng Xue, Zhe Chen, Yong Liu:
Efficient Trajectory Planning and Control for USV with Vessel Dynamics and Differential Flatness. CoRR abs/2209.03232 (2022) - [i59]Tao Huang, Zhe Chen, Zhenfeng Xue, Zhuo Chen, Yong Liu:
Cooperative trajectory planning algorithm of USV-UAV with hull dynamic constraints. CoRR abs/2209.03261 (2022) - [i58]Zhenfeng Xue, Jiandang Yang, Jie Ren, Yong Liu:
Exemplar-Based Image Colorization with A Learning Framework. CoRR abs/2209.05775 (2022) - 2021
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Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping. IEEE Access 9: 19916-19925 (2021) - [j59]Jiangning Zhang, Chao Xu, Xiangrui Zhao, Liang Liu, Yong Liu, Jinqiang Yao, Zaisheng Pan:
Learning hierarchical and efficient Person re-identification for robotic navigation. Int. J. Intell. Robotics Appl. 5(2): 104-118 (2021) - [j58]Sen Lin, Jianxin Huang, Wenzhou Chen, Wenlong Zhou, Jinhong Xu, Yong Liu, Jinqiang Yao:
Intelligent warehouse monitoring based on distributed system and edge computing. Int. J. Intell. Robotics Appl. 5(2): 130-142 (2021) - [j57]Xinqiang Ma, Xuewei Li, Baoquan Zhong, Yi Huang, Ye Gu, Maonian Wu, Yong Liu, Mingyi Zhang:
A Detector and Evaluation Framework of Abnormal Bidding Behavior Based on Supplier Portrait. Int. J. Inf. Technol. Web Eng. 16(2): 58-74 (2021) - [j56]Shanqi Liu, Junjie Cao, Yujie Wang, Wenzhou Chen, Yong Liu:
Self-play reinforcement learning with comprehensive critic in computer games. Neurocomputing 449: 207-213 (2021) - [j55]Xianfang Zeng, Yusu Pan, Hao Zhang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Unpaired salient object translation via spatial attention prior. Neurocomputing 453: 718-730 (2021) - [j54]Chao Xu, Xia Wu, Yachun Li, Yining Jin, Mengmeng Wang, Yong Liu:
Cross-modality online distillation for multi-view action recognition. Neurocomputing 456: 384-393 (2021) - [j53]Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He:
A compression pipeline for one-stage object detection model. J. Real Time Image Process. 18(6): 1949-1962 (2021) - [j52]Zhishan Li, Yiran Sun, Guanzhong Tian, Lei Xie, Yong Liu, Hongye Su, Yifan He:
Correction to: A compression pipeline for one-stage object detection model. J. Real Time Image Process. 18(6): 1963-1964 (2021) - [j51]Qing Shen, Jungang Lou, Yong Liu, Yunliang Jiang:
Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis. Soft Comput. 25(23): 14797-14807 (2021) - [j50]Guanzhong Tian, Jun Chen, Xianfang Zeng, Yong Liu:
Pruning by Training: A Novel Deep Neural Network Compression Framework for Image Processing. IEEE Signal Process. Lett. 28: 344-348 (2021) - [j49]Xianfang Zeng, Wenxuan Wu, Guangzhong Tian, Fuxin Li, Yong Liu:
Deep Superpixel Convolutional Network for Image Recognition. IEEE Signal Process. Lett. 28: 922-926 (2021) - [j48]Wenzhou Chen, Jinhong Xu, Xiangrui Zhao, Yong Liu, Jian Yang:
Separated Sonar Localization System for Indoor Robot Navigation. IEEE Trans. Ind. Electron. 68(7): 6042-6052 (2021) - [j47]Lina Liu, Yiyi Liao, Yue Wang, Andreas Geiger, Yong Liu:
Learning Steering Kernels for Guided Depth Completion. IEEE Trans. Image Process. 30: 2850-2861 (2021) - [j46]Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng:
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1067-1081 (2021) - [j45]Mingming Zhang, Xingxing Zuo, Yiming Chen, Yong Liu, Mingyang Li:
Pose Estimation for Ground Robots: On Manifold Representation, Integration, Reparameterization, and Optimization. IEEE Trans. Robotics 37(4): 1081-1099 (2021) - [c88]Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang:
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion. AAAI 2021: 2136-2144 - [c87]Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan:
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. AAAI 2021: 2294-2301 - [c86]Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou:
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. AAAI 2021: 2656-2664 - [c85]Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. AAAI 2021: 3172-3180 - [c84]Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu:
RFNet: Recurrent Forward Network for Dense Point Cloud Completion. ICCV 2021: 12488-12497 - [c83]Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang:
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. ICCV 2021: 12717-12726 - [c82]Jinhao Cui, Hao Zou, Xin Kong, Xuemeng Yang, Xiangrui Zhao, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
PocoNet: SLAM-oriented 3D LiDAR Point Cloud Online Compression Network. ICRA 2021: 1868-1874 - [c81]Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu:
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure. ICRA 2021: 7627-7634 - [c80]Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang:
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth. ICRA 2021: 14382-14388 - [c79]Hao Zou, Xuemeng Yang, Tianxin Huang, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion. IROS 2021: 16-23 - [c78]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu:
SSC: Semantic Scan Context for Large-Scale Place Recognition. IROS 2021: 2092-2099 - [c77]Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. IROS 2021: 3555-3562 - [c76]Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu:
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. IROS 2021: 4777-4784 - [c75]Jiajun Lv, Kewei Hu, Jinhong Xu, Yong Liu, Xiushui Ma, Xingxing Zuo:
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System. IROS 2021: 6657-6663 - [c74]Hao Zou, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
PointSiamRCNN: Target-aware Voxel-based Siamese Tracker for Point Clouds. IROS 2021: 7029-7035 - [c73]Weiwei Liu, Shanqi Liu, Jian Yang, Yong Liu:
Learning Intra-group Cooperation in Multi-agent Systems. M2VIP 2021: 688-692 - [c72]Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu:
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. NeurIPS 2021: 26674-26688 - [c71]Zhe Chen, Tao Huang, Zhenfeng Xue, Zongzhi Zhu, Jinhong Xu, Yong Liu:
A Novel Unmanned Surface Vehicle with 2D-3D Fused Perception and Obstacle Avoidance Module. ROBIO 2021: 1804-1809 - [i57]Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou:
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. CoRR abs/2102.02972 (2021) - [i56]Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. CoRR abs/2102.03984 (2021) - [i55]Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu:
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model. CoRR abs/2105.15089 (2021) - [i54]Jianbiao Mei, Mengmeng Wang, Yeneng Lin, Yong Liu:
TransVOS: Video Object Segmentation with Transformers. CoRR abs/2106.00588 (2021) - [i53]Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong Liu:
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure. CoRR abs/2106.11516 (2021) - [i52]Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu:
SSC: Semantic Scan Context for Large-Scale Place Recognition. CoRR abs/2107.00382 (2021) - [i51]Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang:
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. CoRR abs/2108.07628 (2021) - [i50]Jiajun Lv, Kewei Hu, Jinhong Xu, Yong Liu, Xiushui Ma, Xingxing Zuo:
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System. CoRR abs/2109.04687 (2021) - [i49]Mengmeng Wang, Jiazheng Xing, Yong Liu:
ActionCLIP: A New Paradigm for Video Action Recognition. CoRR abs/2109.08472 (2021) - [i48]Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang:
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. CoRR abs/2109.11453 (2021) - [i47]Mengmeng Wang, Xiaoqian Yang, Yong Liu:
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking. CoRR abs/2110.15030 (2021) - [i46]Jun Chen, Tianxin Huang, Wenzhou Chen, Yong Liu:
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior. CoRR abs/2111.08410 (2021) - [i45]Zizhang Li, Mengmeng Wang, Jianbiao Mei, Yong Liu:
MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation. CoRR abs/2111.10747 (2021) - [i44]Xianfang Zeng, Jiangning Zhang, Liang Liu, Guangzhong Tian, Yong Liu:
SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network. CoRR abs/2112.10683 (2021) - [i43]Jun Chen, Yuang Liu, Xiangrui Zhao, Yong Liu:
Dynamically Stable Poincaré Embeddings for Neural Manifolds. CoRR abs/2112.11172 (2021) - 2020
- [j44]Junjie Cao, Weiwei Liu, Yong Liu, Jian Yang:
Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient. Frontiers Neurorobotics 14: 21 (2020) - [j43]Xingxing Zuo, Wenlong Ye, Yulin Yang, Renjie Zheng, Teresa A. Vidal-Calleja, Guoquan Huang, Yong Liu:
Multimodal localization: Stereo over LiDAR map. J. Field Robotics 37(6): 1003-1026 (2020) - [j42]Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang:
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. IEEE J. Sel. Top. Signal Process. 14(4): 848-859 (2020) - [j41]JongHyok Ri, Guanzhong Tian, Yong Liu, Wei-Hua Xu, Jungang Lou:
Extreme learning machine with hybrid cost function of G-mean and probability for imbalance learning. Int. J. Mach. Learn. Cybern. 11(9): 2007-2020 (2020) - [j40]Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu, Yunliang Jiang:
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. Pattern Recognit. 102: 107187 (2020) - [j39]Xiangrui Zhao, Lina Liu, Renjie Zheng, Wenlong Ye, Yong Liu:
A Robust Stereo Feature-aided Semi-direct SLAM System. Robotics Auton. Syst. 132: 103597 (2020) - [j38]Qing Shen, Xu Huang, Yong Liu, Yunliang Jiang, Keqin Zhao:
Multiattribute decision making based on the binary connection number in set pair analysis under an interval-valued intuitionistic fuzzy set environment. Soft Comput. 24(10): 7801-7809 (2020) - [j37]Wei Ye, Jiasai Sun, Min Xu, Xuemeng Yang, Hongliang Li, Yong Liu:
Detecting Aging Substation Transformers by Audio Signal with Deep Neural Network. Trans. Edutainment 16: 70-82 (2020) - [c70]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI 2020: 7211-7218 - [c69]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI 2020: 7293-7300 - [c68]Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu:
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. AAAI 2020: 12757-12764 - [c67]Hao Zhang, Mengmeng Wang, Yong Liu, Yi Yuan:
FDN: Feature Decoupling Network for Head Pose Estimation. AAAI 2020: 12789-12796 - [c66]Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong Liu, Yong Gu:
Collision-free Trajectory Planning for Autonomous Surface Vehicle. AIM 2020: 1098-1105 - [c65]Junjie Cao, Yong Liu, Jian Yang, Zaisheng Pan:
Model-Based Robot Learning Control with Uncertainty Directed Exploration. AIM 2020: 2004-2010 - [c64]Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan:
FReeNet: Multi-Identity Face Reenactment. CVPR 2020: 5325-5334 - [c63]Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang:
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. CVPR 2020: 6488-6497 - [c62]Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang:
DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image. ECCV (5) 2020: 300-315 - [c61]Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu:
APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. ICASSP 2020: 4402-4406 - [c60]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR 2020 - [c59]Jun Chen, Jin-Hui Zhao, Wei Zhang, Yong Liu:
Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter. ICMLC 2020: 554-559 - [c58]Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys:
LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking. IROS 2020: 5112-5119 - [c57]Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li:
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking. IROS 2020: 8133-8139 - [c56]Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen:
Semantic Graph Based Place Recognition for 3D Point Clouds. IROS 2020: 8216-8223 - [c55]Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo:
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation. IROS 2020: 9968-9975 - [c54]Xiangrui Zhao, Chunfang Deng, Xin Kong, Jinhong Xu, Yong Liu:
Learning to Compensate for the Drift and Error of Gyroscope in Vehicle Localization. IV 2020: 852-857 - [i42]Jun Chen, Yong Liu, Hao Zhang, Shengnan Hou, Jian Yang:
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks. CoRR abs/2003.04296 (2020) - [i41]Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu:
Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. CoRR abs/2003.12957 (2020) - [i40]Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang:
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. CoRR abs/2003.13045 (2020) - [i39]Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng:
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs. CoRR abs/2004.02396 (2020) - [i38]Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu:
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals. CoRR abs/2004.14569 (2020) - [i37]Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu:
Hierarchical and Efficient Learning for Person Re-Identification. CoRR abs/2005.08812 (2020) - [i36]Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong Liu, Yong Gu:
Collision-free Trajectory Planning for Autonomous Surface Vehicle. CoRR abs/2005.09857 (2020) - [i35]Xingxing Zuo, Mingming Zhang, Yiming Chen, Guoquan Huang, Yong Liu, Mingyang Li:
Kinematics Based Visual Localization for Skid-Steering Robots: Algorithm and Theory. CoRR abs/2006.04335 (2020) - [i34]Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo:
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation. CoRR abs/2007.14759 (2020) - [i33]Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang:
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image. CoRR abs/2008.04776 (2020) - [i32]Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys:
LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking. CoRR abs/2008.07196 (2020) - [i31]Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen:
Semantic Graph Based Place Recognition for 3D Point Clouds. CoRR abs/2008.11459 (2020) - [i30]Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li:
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking. CoRR abs/2010.11510 (2020) - [i29]Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong Liu, Yunliang Jiang:
APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment. CoRR abs/2010.13017 (2020) - [i28]Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu:
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints. CoRR abs/2011.00441 (2020) - [i27]Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu:
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. CoRR abs/2011.02373 (2020) - [i26]Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu:
HILONet: Hierarchical Imitation Learning from Non-Aligned Observations. CoRR abs/2011.02671 (2020) - [i25]Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan:
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. CoRR abs/2012.07356 (2020) - [i24]Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, Zhen Yang:
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association. CoRR abs/2012.07541 (2020) - [i23]Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang:
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion. CoRR abs/2012.08270 (2020) - [i22]Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang:
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth. CoRR abs/2012.10133 (2020)
2010 – 2019
- 2019
- [j36]Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun:
ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks. Neurocomputing 345: 3-14 (2019) - [j35]Xingxing Zuo, Patrick Geneva, Yulin Yang, Wenlong Ye, Yong Liu, Guoquan Huang:
Visual-Inertial Localization With Prior LiDAR Map Constraints. IEEE Robotics Autom. Lett. 4(4): 3394-3401 (2019) - [j34]Xiaokuan Fu, Yong Liu, Zhilei Wang:
Active Learning-Based Grasp for Accurate Industrial Manipulation. IEEE Trans Autom. Sci. Eng. 16(4): 1610-1618 (2019) - [j33]Liang Liu, Yong Liu, Jiangning Zhang:
Learning-Based Hand Motion Capture and Understanding in Assembly Process. IEEE Trans. Ind. Electron. 66(12): 9703-9712 (2019) - [c53]Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu:
Face-to-Parameter Translation for Game Character Auto-Creation. ICCV 2019: 161-170 - [c52]Guanzhong Tian, Yi Yuan, Yong Liu:
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. ICME Workshops 2019: 366-371 - [c51]Yulin Yang, Patrick Geneva, Xingxing Zuo, Kevin Eckenhoff, Yong Liu, Guoquan Huang:
Tightly-Coupled Aided Inertial Navigation with Point and Plane Features. ICRA 2019: 6094-6100 - [c50]Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan:
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. IJCAI 2019: 457-463 - [c49]Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu:
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. IJCAI 2019: 876-882 - [c48]Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu:
PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud. IROS 2019: 3467-3473 - [c47]Wenlong Ye, Renjie Zheng, Fangqiang Zhang, Zizhou Ouyang, Yong Liu:
Robust and Efficient Vehicles Motion Estimation with Low-Cost Multi-Camera and Odometer-Gyroscope. IROS 2019: 4490-4496 - [c46]Xiangrui Zhao, Renjie Zheng, Wenlong Ye, Yong Liu:
A Robust Stereo Semi-direct SLAM System Based on Hybrid Pyramid. IROS 2019: 5376-5382 - [c45]Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, Guoquan Huang:
LIC-Fusion: LiDAR-Inertial-Camera Odometry. IROS 2019: 5848-5854 - [c44]Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li:
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints. ISRR 2019: 741-756 - [c43]Jiali Chen, Yong Liu, Zhimeng Zhang, Changjie Fan, Yu Ding:
Text-driven Visual Prosody Generation for Embodied Conversational Agents. IVA 2019: 108-110 - [c42]Tianxin Huang, Yong Liu:
3D Point Cloud Geometry Compression on Deep Learning. ACM Multimedia 2019: 890-898 - [i21]Guanzhong Tian, Yi Yuan, Yong Liu:
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks. CoRR abs/1905.11142 (2019) - [i20]Jiangning Zhang, Xianfang Zeng, Yusu Pan, Yong Liu, Yu Ding, Changjie Fan:
FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment. CoRR abs/1905.11805 (2019) - [i19]Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu:
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. CoRR abs/1906.08095 (2019) - [i18]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR abs/1907.11461 (2019) - [i17]Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu:
Face-to-Parameter Translation for Game Character Auto-Creation. CoRR abs/1909.01064 (2019) - [i16]Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu:
PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud. CoRR abs/1909.01643 (2019) - [i15]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR abs/1909.02790 (2019) - [i14]Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, Guoquan Huang:
LIC-Fusion: LiDAR-Inertial-Camera Odometry. CoRR abs/1909.04102 (2019) - [i13]Xingxing Zuo, Mingming Zhang, Yiming Chen, Yong Liu, Guoquan Huang, Mingyang Li:
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints. CoRR abs/1911.05787 (2019) - [i12]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR abs/1911.10715 (2019) - 2018
- [j32]Yachun Li, Patra Charalampaki, Yong Liu, Guang-Zhong Yang, Stamatia Giannarou:
Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1187-1199 (2018) - [j31]Yong Liu, Liang Liu:
Accurate real-time ball trajectory estimation with onboard stereo camera system for humanoid ping-pong robot. Robotics Auton. Syst. 101: 34-44 (2018) - [j30]Yue Wang, Yanmei Jiao, Rong Xiong, Hongsheng Yu, Jiafan Zhang, Yong Liu:
MASD: A Multimodal Assembly Skill Decoding System for Robot Programming by Demonstration. IEEE Trans Autom. Sci. Eng. 15(4): 1722-1734 (2018) - [c41]Wenzhou Chen, Yong Liu:
Active Planning of Robot Navigation for 3D Scene Exploration. AIM 2018: 516-520 - [c40]Yunliang Jiang, Zeng-Qiang Huang, Junjie Cao, Yong Liu, Xinqiang Ma, Yi Huang:
Robot Simulation and Reinforcement Learning Training Platform Based on Distributed Architecture. ICCSIP (1) 2018: 542-553 - [c39]Jinhong Xu, Jiajun Lv, Zaishen Pan, Yong Liu, Yinan Chen:
Real-Time LiDAR Data Assocation Aided by IMU in High Dynamic Environment. RCAR 2018: 202-205 - [i11]Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu:
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. CoRR abs/1812.01887 (2018) - [i10]Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen:
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. CoRR abs/1812.01889 (2018) - [i9]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu:
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. CoRR abs/1812.01891 (2018) - 2017
- [j29]Xin Xu, Yong Liu:
Editorial: Recent advances in intelligent robotic systems. CAAI Trans. Intell. Technol. 2(4): 141 (2017) - [j28]Jing Fan, Yunliang Jiang, Yong Liu:
Quick attribute reduction with generalized indiscernibility models. Inf. Sci. 397: 15-36 (2017) - [j27]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Place Classification With a Graph Regularized Deep Neural Network. IEEE Trans. Cogn. Dev. Syst. 9(4): 304-315 (2017) - [j26]Qing Shen, Yunliang Jiang, Xiongtao Zhang, Jing Fan, Yong Liu:
Method and Applications for Multiple Attribute Decision-Making Based on Converting Triangular Fuzzy Numbers into Connection Numbers. Trans. Edutainment 13: 281-292 (2017) - [j25]Yiyi Liao, Yue Wang, Yong Liu:
Graph Regularized Auto-Encoders for Image Representation. IEEE Trans. Image Process. 26(6): 2839-2852 (2017) - [j24]Yue Wang, Yong Liu, Yiyi Liao, Rong Xiong:
Scalable Learning Framework for Traversable Region Detection Fusing With Appearance and Geometrical Information. IEEE Trans. Intell. Transp. Syst. 18(12): 3267-3281 (2017) - [c38]Mengmeng Wang, Yong Liu, Zeyi Huang:
Large Margin Object Tracking with Circulant Feature Maps. CVPR 2017: 4800-4808 - [c37]Kanzhi Wu, Xiaoyang Li, Ravindra Ranasinghe, Gamini Dissanayake, Yong Liu:
RISAS: A novel rotation, illumination, scale invariant appearance and shape feature. ICRA 2017: 4008-4015 - [c36]Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu:
Parse geometry from a line: Monocular depth estimation with partial laser observation. ICRA 2017: 5059-5066 - [c35]Mengmeng Wang, Daobilige Su, Lei Shi, Yong Liu, Jaime Valls Miró:
Real-time 3D human tracking for mobile robots with multisensors. ICRA 2017: 5081-5087 - [c34]Xingxing Zuo, Xiaojia Xie, Yong Liu, Guoquan Huang:
Robust visual SLAM with point and line features. IROS 2017: 1775-1782 - [c33]Kai Lei, Bing Zhang, Yong Liu, Yang Deng, Dongyu Zhang, Ying Shen:
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions. SmartCom 2017: 181-190 - [c32]Ying Shen, Yang Deng, Kaiqi Yuan, Li Liu, Yong Liu:
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking. SmartCom 2017: 268-277 - [c31]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu, Ziyi Guo, Yong Liu:
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning. SmartCom 2017: 278-288 - [c30]Desi Wen, Yong Liu, Kaiqi Yuan, Shangchun Si, Ying Shen:
Attention-Aware Path-Based Relation Extraction for Medical Knowledge Graph. SmartCom 2017: 321-331 - [i8]Mengmeng Wang, Daobilige Su, Lei Shi, Yong Liu, Jaime Valls Miró:
Real-time 3D Human Tracking for Mobile Robots with Multisensors. CoRR abs/1703.04877 (2017) - [i7]Mengmeng Wang, Yong Liu, Zeyi Huang:
Large Margin Object Tracking with Circulant Feature Maps. CoRR abs/1703.05020 (2017) - [i6]Xingxing Zuo, Xiaojia Xie, Yong Liu, Guoquan Huang:
Robust Visual SLAM with Point and Line Features. CoRR abs/1711.08654 (2017) - 2016
- [j23]Yong Liu, Yiyi Liao, Liang Tang, Feng Tang, Weicong Liu:
General subspace constrained non-negative matrix factorization for data representation. Neurocomputing 173: 224-232 (2016) - [j22]Haiying Zhao, Yong Liu, Xiaojia Xie, Yiyi Liao, Xixi Liu:
Filtering Based Adaptive Visual Odometry Sensor Framework Robust to Blurred Images. Sensors 16(7): 1040 (2016) - [j21]Yunliang Jiang, Wuyang Nie, Liang Tang, Yong Liu, Ronghua Liang, Xiulan Hao:
Vertex Mesh Simplification Algorithm Based on Curvature and Distance Metric. Trans. Edutainment 12: 152-160 (2016) - [j20]Yong Liu, Rong Xiong, Yue Wang, Hong Huang, Xiaojia Xie, Xiaofeng Liu, Gaoming Zhang:
Stereo Visual-Inertial Odometry With Multiple Kalman Filters Ensemble. IEEE Trans. Ind. Electron. 63(10): 6205-6216 (2016) - [c29]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks. ICRA 2016: 2318-2325 - [c28]Mengmeng Wang, Yong Liu, Rong Xiong:
Robust object tracking with a hierarchical ensemble framework. IROS 2016: 438-445 - [i5]Xiaoyang Li, Kanzhi Wu, Yong Liu, Ravindra Ranasinghe, Gamini Dissanayake, Rong Xiong:
RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature. CoRR abs/1603.04134 (2016) - [i4]Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu:
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation. CoRR abs/1611.02174 (2016) - 2015
- [j19]Yong Liu, Wenliang Huang, Yunliang Jiang, Zhiyong Zeng:
Erratum to "Quick attribute reduct algorithm for neighborhood rough set model" [Inform. Sci 271 (2014) 65-81]. Inf. Sci. 309: 180 (2015) - [j18]Yangqing Chen, Yong Liu, Xiaodan Shen, Zhimin Chang, Longhua Tang, Wen-Fei Dong, Mingyu Li, Jian-jun He:
Ultrasensitive Detection of Testosterone Using Microring Resonator with Molecularly Imprinted Polymers. Sensors 15(12): 31558-31565 (2015) - [j17]Wenjun Hu, Shitong Wang, Fu-Lai Chung, Yong Liu, Wenhao Ying:
Privacy preserving and fast decision for novelty detection using support vector data description. Soft Comput. 19(5): 1171-1186 (2015) - [j16]Yong Liu, Feng Tang, Zhiyong Zeng:
Feature Selection Based on Dependency Margin. IEEE Trans. Cybern. 45(6): 1209-1221 (2015) - [j15]Yunliang Jiang, Jiangang Yang, Liang Tang, Yong Liu, Xiaoming Zhao, Xiulan Hao:
A Distributed Data Mining System Framework for Mobile Internet Access Log Based on Hadoop. Trans. Edutainment 11: 243-252 (2015) - [c27]Qingquan Zhang, Yong Liu, Yiyi Liao, Yue Wang:
Traversable region detection with a learning framework. ICRA 2015: 1678-1683 - [c26]Guanghua Feng, Yong Liu, Yiyi Liao:
LOIND: An illumination and scale invariant RGB-D descriptor. ICRA 2015: 1893-1898 - [c25]Yue Wang, Jie Cai, Yabiao Wang, Youzhong Hu, Rong Xiong, Yong Liu, Jiafan Zhang, Liwei Qi:
Probabilistic graph based spatial assembly relation inference for programming of assembly task by demonstration. IROS 2015: 4402-4407 - [i3]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Place classification with a graph regularized deep neural network model. CoRR abs/1506.03899 (2015) - [i2]Yiyi Liao, Sarath Kodagoda, Yue Wang, Lei Shi, Yong Liu:
Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks. CoRR abs/1509.06470 (2015) - [i1]Mengmeng Wang, Yong Liu:
Robust Object Tracking with a Hierarchical Ensemble Framework. CoRR abs/1509.06925 (2015) - 2014
- [j14]Yunliang Jiang, Yong Liu, Wenliang Huang, Lican Huang:
Performance analysis of a mobile agent prototype system based on VIRGO P2P protocols. Concurr. Comput. Pract. Exp. 26(2): 447-467 (2014) - [j13]Yong Liu, Xiaoling Zheng, Feng Tang, Xiaofei Chen:
Ontology design with a granular approach. Expert Syst. Appl. 41(10): 4867-4877 (2014) - [j12]Yong Liu, Wenliang Huang, Yunliang Jiang, Zhiyong Zeng:
Quick attribute reduct algorithm for neighborhood rough set model. Inf. Sci. 271: 65-81 (2014) - [c24]Qi Xie, Yong Liu, Rong Xiong, Jian Chu:
Real-time accurate ball trajectory estimation with "asynchronous" stereo camera system for humanoid Ping-Pong robot. ICRA 2014: 6212-6217 - [c23]Yiyi Liao, Yue Wang, Yong Liu:
Image Representation Learning Using Graph Regularized Auto-Encoders. ICLR (Workshop Poster) 2014 - 2013
- [j11]Tsau Young Lin, Yong Liu, Wenliang Huang:
Unifying Rough Set Theories via Large Scaled Granular Computing. Fundam. Informaticae 127(1-4): 413-428 (2013) - [j10]Yunliang Jiang, Yunxi Xu, Yong Liu:
Performance evaluation of feature detection and matching in stereo visual odometry. Neurocomputing 120: 380-390 (2013) - 2012
- [j9]Yong Liu, Mingmin Zhang, Yunliang Jiang, Haiying Zhao:
Improving procedural modeling with semantics in digital architectural heritage. Comput. Graph. 36(3): 178-184 (2012) - [j8]Mingmin Zhang, Mingliang Xu, Lizhen Han, Yong Liu, Pei Lv, Gaoqi He:
Virtual Network Marathon with immersion, scientificalness, competitiveness, adaptability and learning. Comput. Graph. 36(3): 185-192 (2012) - [j7]Yong Liu, Minming Zhang, Feng Tang, Yunliang Jiang, Zhigeng Pan, Gengdai Liu, Huaqing Shen:
Constructing the virtual Jing-Hang Grand Canal with onto-draw. Expert Syst. Appl. 39(15): 12071-12084 (2012) - 2011
- [c22]Rong Xiong, Yong Liu, Hongbo Zheng:
A humanoid robot for table tennis playing. ARSO 2011: 66-67 - 2010
- [j6]Wenzhi Chen, Mingmin Zhang, Zhigeng Pan, Gengdai Liu, Huaqing Shen, Shengnan Chen, Yong Liu:
Animations, Games, and Virtual Reality for the Jing-Hang Grand Canal. IEEE Computer Graphics and Applications 30(3): 84-88 (2010) - [j5]Yong Liu, Yunliang Jiang, Jianhua Yang:
Feature Reduction with Inconsistency. Int. J. Cogn. Informatics Nat. Intell. 4(2): 77-87 (2010) - [j4]Yong Liu, Yunliang Jiang, Lican Huang:
Modeling Complex Architectures Based on Granular Computing on Ontology. IEEE Trans. Fuzzy Syst. 18(3): 585-598 (2010)
2000 – 2009
- 2008
- [j3]Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan:
The Smart Architect: Scalable Ontology-Based Modeling of Ancient Chinese Architectures. IEEE Intell. Syst. 23(1): 49-56 (2008) - [j2]Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan:
Rough Rule Extracting From Various Conditions: Incremental and Approximate Approaches for Inconsistent Data. Fundam. Informaticae 84(3-4): 403-427 (2008) - [c21]Lican Huang, Yong Liu:
Domain Classification by Granular Computing used in a P2P Approach for Web Service Discovery. CW 2008: 405-409 - [c20]Qing Tang, Rong Xiong, Yong Liu, Jian Chu:
HumRoboSim: An Autonomous Humanoid Robot Simulation System. CW 2008: 537-542 - [c19]Li Wang, Rong Xiong, Jian Chu, Yong Liu:
An Estimation Distribution Algorithm of Optimum Path Planning for Mobile Robots. CW 2008: 549-553 - 2006
- [j1]Yong Liu, Congfu Xu, Zhigeng Pan, Yunhe Pan:
Semantic modeling for ancient architecture of digital heritage. Comput. Graph. 30(5): 800-814 (2006) - [c18]Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan:
Ontology Based Semantic Modeling for Chinese Ancient Architectures. AAAI 2006: 1808-1813 - 2005
- [c17]Yunliang Jiang, Yueting Zhuang, Yong Liu, Keqin Zhao:
On Identity-Discrepancy-Contrary Connection Degree in SPA and Its Applications. FSKD (1) 2005: 195-198 - [c16]Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan:
Incremental Target Recognition Algorithm Based on Improved Discernibility Matrix. FSKD (1) 2005: 1246-1255 - [c15]Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan:
Improved rule based rough set approach for target recognition. GrC 2005: 550-555 - [c14]I-Jen Chiang, Tsau Young Lin, Yong Liu:
Table Representations of Granulations Revisited. RSFDGrC (1) 2005: 728-737 - [c13]Yong Liu, Congfu Xu, Yanyu Chen, Yunhe Pan:
Simulating a Finite State Mobile Agent System. WAIM 2005: 651-656 - 2004
- [c12]Yong Liu, Congfu Xu, Zhaohui Wu, Weidong Chen, Yunhe Pan:
A Finite State Mobile Agent Computation Model. APWeb 2004: 152-157 - [c11]Yunliang Jiang, Bei Shui Liao, Yong Liu, Jun Hu:
An Agent-Enabled Content-Explicit Authorization Model for OGSA-Compliant Grid. AWCC 2004: 12-17 - [c10]Yong Liu, Congfu Xu, Zhaohui Wu, Yunhe Pan:
A Predictable Mobile Agent Computation Model and Its Fabric Architecture. AWCC 2004: 18-26 - [c9]Yong Liu, Congfu Xu, Zhaohui Wu, Yunhe Pan:
A Scalable and Reliable Mobile Agent Computation Model. CIS 2004: 346-352 - [c8]Yong Liu, Congfu Xu, Yunhe Pan:
A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix. Rough Sets and Current Trends in Computing 2004: 498-503 - [c7]Yong Liu, Congfu Xu, Yunhe Pan:
A new approach for data fusion: implement rough set theory in dynamic objects distinguishing and tracing. SMC (4) 2004: 3318-3322 - [c6]Yong Liu, Congfu Xu, Yunhe Pan:
An incremental rule extracting algorithm based on Pawlak reduction. SMC (6) 2004: 5964-5968 - [c5]Yong Liu, Congfu Xu, Zhigeng Pan, Yunhe Pan:
Semantic modeling project: building vernacular house of southeast China. VRCAI 2004: 412-418 - 2003
- [c4]Yong Liu, Congfu Xu, Zhaohui Wu, Weidong Chen, Yunhe Pan:
A Virtual Organization Based Mobile Agent Computation Model. GCC (2) 2003: 677-682 - [c3]Yong Liu, Xuelan Li, Congfu Xu, Yunhe Pan:
A Dynamic Incremental Rule Extracting Algorithm Based on the Improved Discernibility Matrix. IRI 2003: 93-97 - [c2]Yunliang Jiang, Congfu Xu, Yong Liu, Keqin Zhao:
A new approach for representing and processing uncertainty knowledge. IRI 2003: 466-470 - [c1]Yong Liu, Congfu Xu, Weidong Chen, Yunhe Pan:
A GIS-based implemental framework for landscape design. SMC 2003: 3787-3791
Coauthor Index
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