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2020 – today
- 2024
[c14]Tianhao Zhou, Haipeng Li, Ziyi Wang, Ao Luo, Chen-Lin Zhang, Jiajun Li, Bing Zeng, Shuaicheng Liu:
RecDiffusion: Rectangling for Image Stitching with Diffusion Models. CVPR 2024: 2692-2701- [c13]Feiran Hu, Chen-Lin Zhang, Jiangliang Guo, Xiu-Shen Wei, Lin Zhao, Anqi Xu, Lingyan Gao:
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing. CVPR 2024: 17648-17657 - [c12]Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem:
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames. CVPR 2024: 18591-18601 - [c11]Sha Guo, Lin Sui, Chen-Lin Zhang, Zhuo Chen, Wenhan Yang, Lingyu Duan:
A Unified Image Compression Method for Human Perception and Multiple Vision Tasks. ECCV (71) 2024: 342-359 - [i14]Tianhao Zhou, Haipeng Li, Ziyi Wang, Ao Luo, Chen-Lin Zhang, Jiajun Li, Bing Zeng, Shuaicheng Liu:
RecDiffusion: Rectangling for Image Stitching with Diffusion Models. CoRR abs/2403.19164 (2024) - [i13]Shuming Liu, Lin Sui, Chen-Lin Zhang, Fangzhou Mu, Chen Zhao, Bernard Ghanem:
Harnessing Temporal Causality for Advanced Temporal Action Detection. CoRR abs/2407.17792 (2024) - 2023
- [j7]Lin Sui
, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10394-10408 (2023) - [j6]Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly supervised foreground learning for weakly supervised localization and detection. Pattern Recognit. 137: 109279 (2023) - [j5]Xiu-Shen Wei, Yu-Yan Xu, Chen-Lin Zhang, Gui-Song Xia, Yuxin Peng:
CAT: a coarse-to-fine attention tree for semantic change detection. Vis. Intell. 1(1) (2023) - [c10]Lin Sui, Chen-Lin Zhang, Lixin Gu, Feng Han:
A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action Detector. WACV 2023: 5988-5997 - [i12]Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem:
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames. CoRR abs/2311.17241 (2023) - 2022
- [c9]Lin Sui, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Object Detection. CVPR 2022: 14207-14216 - [c8]Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. ECCV (4) 2022: 492-510 - [i11]Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. CoRR abs/2202.07925 (2022) - [i10]Lin Sui, Chen-Lin Zhang, Lixin Gu, Feng Han:
Minimum Efforts to Build an End-to-End Spatial-Temporal Action Detector. CoRR abs/2206.03064 (2022) - 2021
- [i9]Lin Sui, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Detection. CoRR abs/2106.04073 (2021) - [i8]Chen-Lin Zhang, Yin Li, Jianxin Wu:
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection. CoRR abs/2108.01785 (2021) - 2020
- [c7]Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. CVPR 2020: 13457-13466 - [c6]Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi:
ApproxDet: content and contention-aware approximate object detection for mobiles. SenSys 2020: 449-462 - [i7]Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. CoRR abs/2002.11359 (2020) - [i6]Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi:
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles. CoRR abs/2010.10754 (2020)
2010 – 2019
- 2019
- [j4]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognit. 88: 113-126 (2019) - [j3]Chen-Lin Zhang, Jianxin Wu:
Improving CNN linear layers with power mean non-linearity. Pattern Recognit. 89: 12-21 (2019) - [c5]Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi:
Noise-Aware Network Embedding for Multiplex Network. IJCNN 2019: 1-8 - [i5]Chen-Lin Zhang, Xinxin Liu, Jianxin Wu:
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models. CoRR abs/1906.07052 (2019) - 2018
- [j2]Xiu-Shen Wei, Chen-Lin Zhang, Hao Zhang, Jianxin Wu:
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences. IEEE Trans. Affect. Comput. 9(3): 303-315 (2018) - [c4]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. ACCV (2) 2018: 575-591 - [i4]Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu:
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. CoRR abs/1812.04239 (2018) - 2017
- [c3]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. IJCAI 2017: 3048-3054 - [c2]Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu:
In Defense of Fully Connected Layers in Visual Representation Transfer. PCM (2) 2017: 807-817 - [i3]Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Deep Descriptor Transforming for Image Co-Localization. CoRR abs/1705.02758 (2017) - [i2]Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming. CoRR abs/1707.06397 (2017) - 2016
- [j1]Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou:
Minimal gated unit for recurrent neural networks. Int. J. Autom. Comput. 13(3): 226-234 (2016) - [c1]Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu:
Deep Bimodal Regression for Apparent Personality Analysis. ECCV Workshops (3) 2016: 311-324 - [i1]Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou:
Minimal Gated Unit for Recurrent Neural Networks. CoRR abs/1603.09420 (2016)
Coauthor Index
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