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Dong Gong
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2020 – today
- 2024
- [j20]De Cheng
, Yanling Ji
Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure. IEEE Trans. Multim. 26: 8184-8196 (2024) - [c33]Xueyang Kang, Fengze Han, Abdur Razzaq Fayjie, Patrick Vandewalle, Kourosh Khoshelham, Dong Gong:
FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack. AI (1) 2024: 273-290 - [c32]Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore:
Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR 2024 - [c31]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR 2024 - [c30]Zhenhong Sun
EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance. ACM Multimedia 2024: 6637-6645 - [i42]Haodong Lu
Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR abs/2402.02653 (2024) - [i41]Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR abs/2402.06223 (2024) - [i40]Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu:
SDGE: Stereo Guided Depth Estimation for 360° Camera Sets. CoRR abs/2402.11791 (2024) - [i39]De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang:
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure. CoRR abs/2403.07292 (2024) - [i38]Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel:
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR abs/2403.07356 (2024) - [i37]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Neural Causal Models. CoRR abs/2403.15711 (2024) - [i36]Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong:
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CoRR abs/2403.18886 (2024) - [i35]Saurav Jha, Dong Gong, Lina Yao:
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR abs/2403.19137 (2024) - [i34]Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Shi:
Highway Graph to Accelerate Reinforcement Learning. CoRR abs/2405.11727 (2024) - [i33]Cheng Zhang, Dong Gong, Jiumei He, Yu Zhu, Jinqiu Sun, Yanning Zhang:
UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation. CoRR abs/2409.20197 (2024) - [i32]Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji:
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. CoRR abs/2410.00700 (2024) - [i31]Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo:
Tokens on Demand: Token Condensation as Training-free Test-time Adaptation. CoRR abs/2410.14729 (2024) - 2023
- [j19]Qingsen Yan
SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring. IEEE Trans. Image Process. 32: 2857-2866 (2023) - [c29]Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes. CVPR 2023: 21539-21548 - [c28]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. ICLR 2023 - [c27]Saurav Jha, Dong Gong, He Zhao, Lina Yao:
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS 2023 - [c26]Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. NeurIPS 2023 - [i30]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. CoRR abs/2303.02693 (2023) - [i29]Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes. CoRR abs/2304.08993 (2023) - [i28]Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel:
RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR abs/2307.02251 (2023) - [i27]Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong:
Learning Informative Latent Representation for Quantum State Tomography. CoRR abs/2310.00518 (2023) - [i26]Xueyang Kang, Fengze Han, Abdur Razzaq Fayjie, Dong Gong:
FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus. CoRR abs/2310.11178 (2023) - [i25]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR abs/2310.15580 (2023) - [i24]Saurav Jha, Dong Gong, He Zhao, Lina Yao:
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR abs/2310.19272 (2023) - 2022
- [j18]Qingsen Yan, Dong Gong
Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. 130(1): 76-94 (2022) - [j17]Qingsen Yan, Dong Gong
High dynamic range imaging via gradient-aware context aggregation network. Pattern Recognit. 122: 108342 (2022) - [j16]Wei Sun, Dong Gong
Video super-resolution via mixed spatial-temporal convolution and selective fusion. Pattern Recognit. 126: 108577 (2022) - [j15]Xinyu Zhang
Part-Guided Attention Learning for Vehicle Instance Retrieval. IEEE Trans. Intell. Transp. Syst. 23(4): 3048-3060 (2022) - [c25]Qingsen Yan, Dong Gong
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CVPR 2022: 109-118 - [c24]Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi
A Lightweight Network for High Dynamic Range Imaging. CVPR Workshops 2022: 823-831 - [c23]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 2022: 1008-1022 - [c22]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi:
Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS 2022 - [i23]Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi:
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CoRR abs/2202.10203 (2022) - [i22]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR abs/2205.12633 (2022) - [i21]Yuhang Liu, Zhen Zhang
Weight-variant Latent Causal Models. CoRR abs/2208.14153 (2022) - [i20]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi
Identifying Latent Causal Content for Multi-Source Domain Adaptation. CoRR abs/2208.14161 (2022) - [i19]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR abs/2208.14571 (2022) - [i18]Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao:
The Neural Process Family: Survey, Applications and Perspectives. CoRR abs/2209.00517 (2022) - 2021
- [j14]Yasi Wang, Yuankai Qi
Image editing with varying intensities of processing. Comput. Vis. Image Underst. 211: 103260 (2021) - [j13]Wanxuan Lu, Dong Gong
Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. Pattern Recognit. 117: 107924 (2021) - [j12]Qingsen Yan
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. IEEE Trans. Big Data 7(1): 13-24 (2021) - [j11]Wei Sun
Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. IEEE Trans. Image Process. 30: 2947-2962 (2021) - [j10]Mingkui Tan
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [j9]Yinglong Wang
Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Trans. Multim. 23: 2481-2492 (2021) - [c21]Qingsen Yan, Bo Wang, Dong Gong, Dingwen Zhang, Yang Yang, Zheng You, Yanning Zhang, Javen Qinfeng Shi
A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. BMVC 2021: 250 - [c20]Hai-Ming Xu, Lingqiao Liu
Semi-supervised Learning via Conditional Rotation Angle Estimation. DICTA 2021: 1-8 - [c19]Dong Gong
Memory-augmented Dynamic Neural Relational Inference. ICCV 2021: 11823-11832 - 2020
- [j8]Wenhe Liu
Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. 32(7): 1393-1404 (2020) - [j7]Dong Gong
Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5468-5482 (2020) - [c18]Tong He, Dong Gong
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. ECCV (18) 2020: 564-580 - [i17]Tong He, Dong Gong, Zhi Tian, Chunhua Shen:
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. CoRR abs/2001.01349 (2020) - [i16]Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. CoRR abs/2001.02381 (2020) - [i15]Hai-Ming Xu, Lingqiao Liu, Dong Gong:
Semi-supervised Learning via Conditional Rotation Angle Estimation. CoRR abs/2001.02865 (2020) - [i14]Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen:
Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory. CoRR abs/2001.04123 (2020) - [i13]Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. CoRR abs/2004.10987 (2020)
2010 – 2019
- 2019
- [j6]Rui Li
ARSAC: Efficient model estimation via adaptively ranked sample consensus. Neurocomputing 328: 88-96 (2019) - [j5]Suwichaya Suwanwimolkul
An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Trans. Image Process. 28(3): 1556-1570 (2019) - [j4]Dong Gong
MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. 28(4): 1851-1865 (2019) - [j3]Qingsen Yan
Two-Stream Convolutional Networks for Blind Image Quality Assessment. IEEE Trans. Image Process. 28(5): 2200-2211 (2019) - [c17]Tong He, Chunhua Shen, Zhi Tian, Dong Gong
Knowledge Adaptation for Efficient Semantic Segmentation. CVPR 2019: 578-587 - [c16]Qingsen Yan, Dong Gong
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR 2019: 1751-1760 - [c15]Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong
Variational Bayesian Dropout With a Hierarchical Prior. CVPR 2019: 7124-7133 - [c14]Jie Li, Yu Liu, Dong Gong
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CVPR 2019: 7693-7702 - [c13]Dong Gong
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV 2019: 1705-1714 - [c12]Rui Li, Dong Gong
Robust and Accurate Hybrid Structure-From-Moti. ICIP 2019: 494-498 - [c11]Gerard Snaauw, Dong Gong
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI 2019: 802-805 - [c10]Qingsen Yan, Dong Gong
Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. WACV 2019: 41-50 - [i12]Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CoRR abs/1903.00620 (2019) - [i11]Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan:
Knowledge Adaptation for Efficient Semantic Segmentation. CoRR abs/1903.04688 (2019) - [i10]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1904.02639 (2019) - [i9]Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR abs/1904.10293 (2019) - [i8]Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng:
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. CoRR abs/1905.05404 (2019) - [i7]Tong Shen, Dong Gong, Wei Zhang, Chunhua Shen, Tao Mei:
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation. CoRR abs/1907.12282 (2019) - [i6]Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen:
Part-Guided Attention Learning for Vehicle Re-Identification. CoRR abs/1909.06023 (2019) - 2018
- [j2]Dong Gong
Blind image deblurring by promoting group sparsity. Neurocomputing 310: 190-200 (2018) - [c9]Yuhang Liu
Deblurring Natural Image Using Super-Gaussian Fields. ECCV (1) 2018: 467-484 - [c8]Jie Yang, Dong Gong
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) 2018: 675-691 - [i5]Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning an Optimizer for Image Deconvolution. CoRR abs/1804.03368 (2018) - [i4]Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang:
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR abs/1810.05438 (2018) - [i3]Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR abs/1810.10117 (2018) - [i2]Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout. CoRR abs/1811.07533 (2018) - 2017
- [c7]Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI 2017: 1934-1940 - [c6]Dong Gong
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR 2017: 3806-3815 - [c5]Dong Gong
Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV 2017: 1670-1679 - 2016
- [c4]Dong Gong
Blind Image Deconvolution by Automatic Gradient Activation. CVPR 2016: 1827-1836 - [i1]Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi:
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR abs/1612.02583 (2016) - 2014
- [j1]Dong Gong, Xianguo Geng:
Explicit solutions for a hierarchy of differential-difference equations. Appl. Math. Comput. 247: 898-917 (2014) - [c3]Haisen Li, Yanning Zhang, Jinqiu Sun, Dong Gong
Joint Motion Deblurring with Blurred/Noisy Image Pair. ICPR 2014: 1020-1024 - 2013
- [c2]Dong Gong
Neighbor combination for atmospheric turbulence image reconstruction. ICIP 2013: 1361-1365 - 2012
- [c1]Shaobo Dang, Yanning Zhang, Dong Gong
A Patch-Based Non-local Means Method for Image Denoising. IScIDE 2012: 582-589
Coauthor Index
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last updated on 2024-12-26 01:55 CET by the dblp team
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