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ORCIDKai Chen 0023
Person information
- affiliation: Huazhong University of Science and Technology, School of Automation, National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Wuhan, China
Other persons with the same name
- Kai Chen — disambiguation page
- Kai Chen 0001
![[0000-0001-6384-0355]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6384-0355")
— University of Science and Technology of China, Department of Electronics Science and Technology, Hefei, China (and 1 more) - Kai Chen 0002 — University of California at Berkeley, EECS Department, CA, USA
- Kai Chen 0003 — Google, Mountain View, CA, USA (and 1 more)
- Kai Chen 0004 — Xi'an Jiaotong University, School of Electronic and Information Engineering
- Kai Chen 0005 — Hong Kong University of Science and Technology (and 1 more)
- Kai Chen 0006 — Shanghai Jiatong University, Institute of Image Communication and Network Engineering, China
- Kai Chen 0007 — Cisco Systems (and 1 more)
- Kai Chen 0008 — University of Science and Technology of China, Department of Modern Physics
- Kai Chen 0009 — University of Science and Technology of China, Department of Computer Science
- Kai Chen 0010 — Google (and 2 more)
- Kai Chen 0011 — University of Fribourg, Switzerland
- Kai Chen 0012 — Chinese Academy of Sciences, Institute of Information Engineering, SKLOIS, Beijing, China
- Kai Chen 0013 — Qualcomm, Wireless R&D Department, Beijing, China (and 2 more)
- Kai Chen 0014 — China University of Geosciences, School of Geophysics and Information Technology, Beijing, China
- Kai Chen 0015 — University of Southern California, Dept. of Industrial and Systems Engineering
- Kai Chen 0016 — Huazhong University of Science and Technology, School of Computer Science and Technology, Services Computing Technology and System Lab / Cluster and Grid Computing Lab, China
- Kai Chen 0017 — Zhejiang University
- Kai Chen 0018 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Kai Chen 0019 — Xiamen University, China
- Kai Chen 0020 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Kai Chen 0021 — Wuhan University of Technology, Laboratory of Intelligent Manufacture and Control, China
- Kai Chen 0022 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Kai Chen 0024 — Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China
- Kai Chen 0025 — BUPT, School of Information and Communication Engineering, Beijing, China
- Kai Chen 0026 — Shanghai AI Laboratory, Guangzhou, China (and 2 more)
- Kai Chen 0027 — Fudan University, School of Computer Science, Shanghai, China
- Kai Chen 0028 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
2020 – today
- 2025
[j6]Can Gong, Minhan Mi, Yuwei Zhou, Pengfei Wang, Hanzhen Li, Xinyi Wen, Ting Meng, Sirui An, Xiang Du, Kai Chen, Meng Zhang, Qing Zhu, Xiaohua Ma, Yue Hao:
High linearity GaN HEMT by optimized three-dimensional-gated modulation via top-MIS-gate nanowire channel structure. Sci. China Inf. Sci. 68(4) (2025)- [c18]Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models. WACV 2025: 3539-3548 - [c17]Kai Chen, Yanze Li, Wenhua Zhang, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases. WACV 2025: 7817-7826 - [i27]Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang:
Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning. CoRR abs/2502.12635 (2025) - [i26]Nikolay Safonov, Alexey Bryncev, Andrey Moskalenko, Dmitry Kulikov, Dmitriy S. Vatolin, Radu Timofte, Haibo Lei, Qifan Gao, Qing Luo, Yaqing Li, Jie Song, Shaozhe Hao, Meisong Zheng, Jingyi Xu, Chengbin Wu, Jiahui Liu, Ying Chen, Xin Deng, Mai Xu, Peipei Liang, Jie Ma, Junjie Jin, Yingxue Pang, Fangzhou Luo, Kai Chen, Shijie Zhao, Mingyang Wu, Renjie Li, Yushen Zuo, Shengyun Zhong, Zhengzhong Tu:
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results. CoRR abs/2505.03007 (2025) - 2024
- [c16]Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang:
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CVPR 2024: 7246-7255 - [c15]Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation. ECCV (17) 2024: 388-404 - [c14]Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok:
Implicit Concept Removal of Diffusion Models. ECCV (21) 2024: 457-473 - [c13]Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu:
MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR 2024 - [c12]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. ICLR 2024 - [c11]Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung:
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation. ICLR 2024 - [i25]Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok:
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts. CoRR abs/2402.05382 (2024) - [i24]Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation. CoRR abs/2403.09572 (2024) - [i23]Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang:
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR abs/2403.13304 (2024) - [i22]Yanze Li, Wenhua Zhang, Kai Chen, Yanxin Liu, Pengxiang Li, Ruiyuan Gao, Lanqing Hong, Meng Tian, Xinhai Zhao, Zhenguo Li, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases. CoRR abs/2404.10595 (2024) - [i21]Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok:
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment. CoRR abs/2405.00557 (2024) - [i20]Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu:
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR abs/2405.14475 (2024) - [i19]Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Xing Mei, Lean Fu, Fei Wang:
PatchScaler: An Efficient Patch-Independent Diffusion Model for Super-Resolution. CoRR abs/2405.17158 (2024) - [i18]Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung:
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models. CoRR abs/2410.23114 (2024) - [i17]Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu:
MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control. CoRR abs/2411.13807 (2024) - 2023
- [c10]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-Supervised Visual Representation Learning. CVPR 2023: 22742-22751 - [c9]Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok:
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts. ICLR 2023 - [c8]Yong Liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang:
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution. ACM Multimedia 2023: 7952-7960 - [i16]Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
Mixed Autoencoder for Self-supervised Visual Representation Learning. CoRR abs/2303.17152 (2023) - [i15]Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung:
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt. CoRR abs/2306.04607 (2023) - [i14]Yong Liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang:
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution. CoRR abs/2308.02794 (2023) - [i13]Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu:
MagicDrive: Street View Generation with Diverse 3D Geometry Control. CoRR abs/2310.02601 (2023) - [i12]Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok:
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models. CoRR abs/2310.05873 (2023) - [i11]Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu:
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. CoRR abs/2310.10477 (2023) - [i10]Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia:
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models. CoRR abs/2312.00651 (2023) - [i9]Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang:
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning. CoRR abs/2312.12379 (2023) - 2022
- [c7]Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li:
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. AAAI 2022: 1854-1862 - [c6]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237 - [c5]Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong:
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. CVPR 2022: 1879-1888 - [c4]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 2022: 406-423 - [i8]Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong:
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. CoRR abs/2203.07319 (2022) - [i7]Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR abs/2203.07724 (2022) - [i6]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022) - [i5]Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li:
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. CoRR abs/2205.13267 (2022) - 2021
- [c3]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. ICCV 2021: 7526-7534 - [c2]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks 2021 - [i4]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR abs/2106.11118 (2021) - [i3]Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung:
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. CoRR abs/2108.12178 (2021)
2010 – 2019
- 2019
- [j5]Kai Chen, Wenbing Tao:
Learning Linear Regression via Single-Convolutional Layer for Visual Object Tracking. IEEE Trans. Multim. 21(1): 86-97 (2019) - 2018
- [j4]Kai Chen, Wenbing Tao:
Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3377-3386 (2018) - [j3]Kai Chen, Wenbing Tao:
Convolutional Regression for Visual Tracking. IEEE Trans. Image Process. 27(7): 3611-3620 (2018) - 2017
- [j2]Kai Chen, Wenbing Tao, Shoudong Han:
Visual object tracking via enhanced structural correlation filter. Inf. Sci. 394: 232-245 (2017) - [c1]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - 2016
- [i2]Kai Chen, Wenbing Tao:
Once for All: a Two-flow Convolutional Neural Network for Visual Tracking. CoRR abs/1604.07507 (2016) - [i1]Kai Chen, Wenbing Tao:
Convolutional Regression for Visual Tracking. CoRR abs/1611.04215 (2016) - 2015
- [j1]Fangmei Chen, Yong Xu, David Zhang, Kai Chen:
2D facial landmark model design by combining key points and inserted points. Expert Syst. Appl. 42(21): 7858-7868 (2015)
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