Kai Chen

56 papers A* 11A 2Journal 35Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mixture of Cluster-Conditional LoRA Experts for Vision-Language Instruction Tuning.
IEEE Trans. Image Process.
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2025 A conf
Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases.
WACV
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
2025 J jnl
Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning.
CoRR
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang
2025 A* conf
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning.
EMNLP
Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, Bo Han, James Kwok, Yu Zhang
2025 J jnl
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving.
CoRR
Kai Chen, Ruiyuan Gao, Lanqing Hong, Hang Xu, Xu Jia, Holger Caesar, Dengxin Dai, Bingbing Liu, Dzmitry Tsishkou, Songcen Xu, Chunjing Xu, Qiang Xu, Huchuan Lu, Dit-Yan Yeung
2025 — conf
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment.
ACL (1)
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2025 — conf
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results.
CVPR Workshops
Nickolay Safonov, Alexey Bryntsev, 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, Zhengzhong Tu, Shengyun Zhong
2025 J jnl
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results.
CoRR
Nickolay 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
2025 A conf
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models.
WACV
Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2025 J jnl
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models.
Trans. Mach. Learn. Res.
Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung
2024 J jnl
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases.
CoRR
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
2024 A* conf
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CVPR
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024 J jnl
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.
CoRR
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
2024 J jnl
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.
CoRR
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 — conf
Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.
ECCV (17)
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2024 A* conf
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
ICLR
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
2024 A* conf
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.
ICLR
Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2024 — conf
Implicit Concept Removal of Diffusion Models.
ECCV (21)
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2024 J jnl
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.
CoRR
Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu
2024 A* conf
MagicDrive: Street View Generation with Diverse 3D Geometry Control.
ICLR
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2024 J jnl
MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.
CoRR
Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu
2024 J jnl
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR
Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok
2024 J jnl
PatchScaler: An Efficient Patch-Independent Diffusion Model for Super-Resolution.
CoRR
Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Xing Mei, Lean Fu, Fei Wang
2024 J jnl
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts.
CoRR
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
2024 J jnl
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models.
CoRR
Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung
2023 J jnl
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.
CoRR
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
2023 J jnl
Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.
CoRR
Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok
2023 J jnl
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.
CoRR
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
MagicDrive: Street View Generation with Diverse 3D Geometry Control.
CoRR
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
2023 A* conf
Mixed Autoencoder for Self-Supervised Visual Representation Learning.
CVPR
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
Mixed Autoencoder for Self-supervised Visual Representation Learning.
CoRR
Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2023 J jnl
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.
CoRR
Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang
2023 A* conf
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.
ICLR
Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok
2023 J jnl
TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models.
CoRR
Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia
2023 A* conf
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution.
ACM Multimedia
Yong Liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang
2023 J jnl
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution.
CoRR
Yong Liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang
2022 — conf
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
ECCV (38)
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
2022 J jnl
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.
CoRR
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
2022 A* conf
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors.
CVPR
Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong
2022 J jnl
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors.
CoRR
Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong
2022 — conf
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.
CVPR Workshops
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
2022 J jnl
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.
CoRR
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
2022 A* conf
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.
AAAI
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2022 J jnl
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.
CoRR
Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li
2021 A* conf
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
ICCV
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021 J jnl
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
CoRR
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung
2021 — conf
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.
NeurIPS Datasets and Benchmarks
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2021 J jnl
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.
CoRR
Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu
2019 J jnl
Learning Linear Regression via Single-Convolutional Layer for Visual Object Tracking.
IEEE Trans. Multim.
Kai Chen, Wenbing Tao
2018 J jnl
Convolutional Regression for Visual Tracking.
IEEE Trans. Image Process.
Kai Chen, Wenbing Tao
2018 J jnl
Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol.
Kai Chen, Wenbing Tao
2017 — conf
The Visual Object Tracking VOT2017 Challenge Results.
ICCV Workshops
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
2017 J jnl
Visual object tracking via enhanced structural correlation filter.
Inf. Sci.
Kai Chen, Wenbing Tao, Shoudong Han
2016 J jnl
Convolutional Regression for Visual Tracking.
CoRR
Kai Chen, Wenbing Tao
2016 J jnl
Once for All: a Two-flow Convolutional Neural Network for Visual Tracking.
CoRR
Kai Chen, Wenbing Tao
2015 J jnl
2D facial landmark model design by combining key points and inserted points.
Expert Syst. Appl.
Fangmei Chen, Yong Xu, David Zhang, Kai Chen