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Dongliang Zhou
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2020 – today
- 2024
- [j13]Lu Yue, Dongliang Zhou, Liang Xie, Feitian Zhang, Ye Yan, Erwei Yin:
Safe-VLN: Collision Avoidance for Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments. IEEE Robotics Autom. Lett. 9(6): 4918-4925 (2024) - [j12]Li Dong, Haijun Zhang, Dongliang Zhou, Jianyang Shi, Jianghong Ma:
CCTwins: A Weakly Supervised Transformer-Based Crowd Counting Method With Adaptive Scene Consistency Attention. IEEE Trans. Consumer Electron. 70(1): 22-35 (2024) - [j11]Linlin Liu, Haijun Zhang, Dongliang Zhou, Jianyang Shi:
Toward Fashion Intelligence in the Big Data Era: State-of-the-Art and Future Prospects. IEEE Trans. Consumer Electron. 70(1): 36-57 (2024) - [j10]Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jianyang Shi:
BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3245-3259 (2024) - [j9]Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5226-5240 (2024) - [c5]Minglong Dong, Dongliang Zhou, Jianghong Ma, Haijun Zhang:
Towards Intelligent Design: A Self-Driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures. ICASSP 2024: 3725-3729 - 2023
- [j8]Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong, Jianghong Ma:
IASA: An IoU-aware tracker with adaptive sample assignment. Neural Networks 161: 267-280 (2023) - [j7]Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators. IEEE Trans. Multim. 25: 2323-2338 (2023) - [j6]Dongliang Zhou, Haijun Zhang, Qun Li, Jianghong Ma, Xiaofei Xu:
COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles. IEEE Trans. Multim. 25: 4986-5001 (2023) - [c4]Jianyang Shi, Haijun Zhang, Dongliang Zhou, Zhao Zhang:
Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements. ACM Multimedia 2023: 7152-7163 - [c3]Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jicong Fan, Zhao Zhang:
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting. ACM Multimedia 2023: 7881-7889 - [c2]Dongliang Zhou, Lihui Lei:
A Novel Method for Signal Sequence Classification Based on Markov Reward Models. NCTCS 2023: 65-81 - [i1]Lu Yue, Dongliang Zhou, Liang Xie, Feitian Zhang, Ye Yan, Erwei Yin:
Safe-VLN: Collision Avoidance for Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments. CoRR abs/2311.02817 (2023) - 2022
- [j5]Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong:
PaaRPN: Probabilistic anchor assignment with region proposal network for visual tracking. Inf. Sci. 598: 19-36 (2022) - [j4]Li Dong, Haijun Zhang, Kai Yang, Dongliang Zhou, Jianyang Shi, Jianghong Ma:
Crowd Counting by Using Top-k Relations: A Mixed Ground-Truth CNN Framework. IEEE Trans. Consumer Electron. 68(3): 307-316 (2022) - 2021
- [j3]Linlin Liu, Haijun Zhang, Dongliang Zhou:
Clothing generation by multi-modal embedding: A compatibility matrix-regularized GAN model. Image Vis. Comput. 107: 104097 (2021) - [j2]Kai Yang, Haijun Zhang, Dongliang Zhou, Linlin Liu:
TGAN: A simple model update strategy for visual tracking via template-guidance attention network. Neural Networks 144: 61-74 (2021) - 2020
- [j1]Haijun Zhang, Xinghao Wang, Linlin Liu, Dongliang Zhou, Zhao Zhang:
WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images. IEEE Multim. 27(4): 58-68 (2020)
2010 – 2019
- 2016
- [c1]Bilong Shen, Zhaoduo Wen, Ying Zhao, Dongliang Zhou, Weimin Zheng:
OCEAN: Fast Discovery of High Utility Occupancy Itemsets. PAKDD (1) 2016: 354-365
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last updated on 2024-12-05 20:41 CET by the dblp team
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