Kai Chen

According to our database, Kai Chen authored at least 39 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving.

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

CoRR, July, 2025

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results.

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

CoRR, May, 2025

Corrupted but Not Broken: Rethinking the Impact of Corrupted Data in Visual Instruction Tuning.

Yunhao Gou, Hansi Yang, Zhili Liu, Kai Chen, Yihan Zeng, Lanqing Hong, Zhenguo Li, Qun Liu, James T. Kwok, Yu Zhang

CoRR, February, 2025

Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models.

Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung

Trans. Mach. Learn. Res., 2025

TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models.

Pengxiang Li, Kai Chen, Zhili Liu, Ruiyuan Gao, Lanqing Hong, Dit-Yan Yeung, Huchuan Lu, Xu Jia

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment.

Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.

Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu

CoRR, 2024

PatchScaler: An Efficient Patch-Independent Diffusion Model for Super-Resolution.

Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Xing Mei, Lean Fu, Fei Wang

CoRR, 2024

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.

Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu

CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.

Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok

CoRR, 2024

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.

Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MagicDrive: Street View Generation with Diverse 3D Geometry Control.

Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Implicit Concept Removal of Diffusion Models.

Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok

Proceedings of the Computer Vision - ECCV 2024, 2024

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.

Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.

Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

Yunhao Gou, Zhili Liu, Kai Chen, Lanqing Hong, Hang Xu, Aoxue Li, Dit-Yan Yeung, James T. Kwok, Yu Zhang

CoRR, 2023

TrackDiffusion: Multi-object Tracking Data Generation via Diffusion Models.

Pengxiang Li, Zhili Liu, Kai Chen, Lanqing Hong, Yunzhi Zhuge, Dit-Yan Yeung, Huchuan Lu, Xu Jia

CoRR, 2023

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.

Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok

CoRR, 2023

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.

Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung

CoRR, 2023

Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution.

Yong Liu, Hang Dong, Boyang Liang, Songwei Liu, Qingji Dong, Kai Chen, Fangmin Chen, Lean Fu, Fei Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.

Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mixed Autoencoder for Self-Supervised Visual Representation Learning.

Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.

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

CoRR, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors.

Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.

Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

CoRR, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.

Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Learning Linear Regression via Single-Convolutional Layer for Visual Object Tracking.

Kai Chen, Wenbing Tao

IEEE Trans. Multim., 2019

2018

Convolutional Regression for Visual Tracking.

Kai Chen, Wenbing Tao

IEEE Trans. Image Process., 2018

Once for All: A Two-Flow Convolutional Neural Network for Visual Tracking.

Kai Chen, Wenbing Tao

IEEE Trans. Circuits Syst. Video Technol., 2018

2017

Visual object tracking via enhanced structural correlation filter.

Kai Chen, Wenbing Tao, Shoudong Han

Inf. Sci., 2017

The Visual Object Tracking VOT2017 Challenge Results.

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

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

2D facial landmark model design by combining key points and inserted points.

Fangmei Chen, Yong Xu, David Zhang, Kai Chen

Expert Syst. Appl., 2015