Chen-Lin Zhang

37 papers A* 7A 1B 1Misc 1Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Single Image Rolling Shutter Removal with Diffusion Models.
AAAI
Zhanglei Yang, Haipeng Li, Mingbo Hong, Chen-Lin Zhang, Jiajun Li, Shuaicheng Liu
2025 J jnl
TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos.
CoRR
Chen-Lin Zhang, Lin Sui, Shuming Liu, Fangzhou Mu, Zhangcheng Wang, Bernard Ghanem
2024 — conf
A Unified Image Compression Method for Human Perception and Multiple Vision Tasks.
ECCV (71)
Sha Guo, Lin Sui, Chen-Lin Zhang, Zhuo Chen, Wenhan Yang, Lingyu Duan
2024 A* conf
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing.
CVPR
Feiran Hu, Chen-Lin Zhang, Jiangliang Guo, Xiu-Shen Wei, Lin Zhao, Anqi Xu, Lingyan Gao
2024 A* conf
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames.
CVPR
Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem
2024 J jnl
Harnessing Temporal Causality for Advanced Temporal Action Detection.
CoRR
Shuming Liu, Lin Sui, Chen-Lin Zhang, Fangzhou Mu, Chen Zhao, Bernard Ghanem
2024 A* conf
RecDiffusion: Rectangling for Image Stitching with Diffusion Models.
CVPR
Tianhao Zhou, Haipeng Li, Ziyi Wang, Ao Luo, Chen-Lin Zhang, Jiajun Li, Bing Zeng, Shuaicheng Liu
2024 J jnl
RecDiffusion: Rectangling for Image Stitching with Diffusion Models.
CoRR
Tianhao Zhou, Haipeng Li, Ziyi Wang, Ao Luo, Chen-Lin Zhang, Jiajun Li, Bing Zeng, Shuaicheng Liu
2023 A conf
A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action Detector.
WACV
Lin Sui, Chen-Lin Zhang, Lixin Gu, Feng Han
2023 J jnl
CAT: a coarse-to-fine attention tree for semantic change detection.
Vis. Intell.
Xiu-Shen Wei, Yu-Yan Xu, Chen-Lin Zhang, Gui-Song Xia, Yuxin Peng
2023 J jnl
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames.
CoRR
Shuming Liu, Chen-Lin Zhang, Chen Zhao, Bernard Ghanem
2023 J jnl
Salvage of Supervision in Weakly Supervised Object Detection and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Lin Sui, Chen-Lin Zhang, Jianxin Wu
2023 J jnl
Weakly supervised foreground learning for weakly supervised localization and detection.
Pattern Recognit.
Chen-Lin Zhang, Yin Li, Jianxin Wu
2022 — conf
ActionFormer: Localizing Moments of Actions with Transformers.
ECCV (4)
Chen-Lin Zhang, Jianxin Wu, Yin Li
2022 J jnl
ActionFormer: Localizing Moments of Actions with Transformers.
CoRR
Chen-Lin Zhang, Jianxin Wu, Yin Li
2022 J jnl
Minimum Efforts to Build an End-to-End Spatial-Temporal Action Detector.
CoRR
Lin Sui, Chen-Lin Zhang, Lixin Gu, Feng Han
2022 A* conf
Salvage of Supervision in Weakly Supervised Object Detection.
CVPR
Lin Sui, Chen-Lin Zhang, Jianxin Wu
2021 J jnl
Salvage of Supervision in Weakly Supervised Detection.
CoRR
Lin Sui, Chen-Lin Zhang, Jianxin Wu
2021 J jnl
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection.
CoRR
Chen-Lin Zhang, Yin Li, Jianxin Wu
2020 J jnl
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles.
CoRR
Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi
2020 Misc conf
ApproxDet: content and contention-aware approximate object detection for mobiles.
SenSys
Ran Xu, Chen-Lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi
2020 A* conf
Rethinking the Route Towards Weakly Supervised Object Localization.
CVPR
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
2020 J jnl
Rethinking the Route Towards Weakly Supervised Object Localization.
CoRR
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
2019 J jnl
Improving CNN linear layers with power mean non-linearity.
Pattern Recognit.
Chen-Lin Zhang, Jianxin Wu
2019 B conf
Noise-Aware Network Embedding for Multiplex Network.
IJCNN
Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi
2019 J jnl
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models.
CoRR
Chen-Lin Zhang, Xinxin Liu, Jianxin Wu
2019 J jnl
Unsupervised object discovery and co-localization by deep descriptor transformation.
Pattern Recognit.
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2018 — conf
Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification.
ACCV (2)
Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018 J jnl
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification.
CoRR
Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu
2018 J jnl
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences.
IEEE Trans. Affect. Comput.
Xiu-Shen Wei, Chen-Lin Zhang, Hao Zhang, Jianxin Wu
2017 A* conf
Deep Descriptor Transforming for Image Co-Localization.
IJCAI
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2017 J jnl
Deep Descriptor Transforming for Image Co-Localization.
CoRR
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2017 — conf
In Defense of Fully Connected Layers in Visual Representation Transfer.
PCM (2)
Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, Jianxin Wu
2017 J jnl
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming.
CoRR
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2016 — conf
Deep Bimodal Regression for Apparent Personality Analysis.
ECCV Workshops (3)
Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu
2016 J jnl
Minimal Gated Unit for Recurrent Neural Networks.
CoRR
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou
2016 J jnl
Minimal gated unit for recurrent neural networks.
Int. J. Autom. Comput.
Guo-Bing Zhou, Jianxin Wu, Chen-Lin Zhang, Zhi-Hua Zhou