Yu Liu

188 papers A* 52A 2B 1Misc 1Journal 112Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization.
CoRR
Dailan He, Guanlin Feng, Xingtong Ge, Yi Zhang, Bingqi Ma, Guanglu Song, Yu Liu, Hongsheng Li
2025 J jnl
ADT: Tuning Diffusion Models with Adversarial Supervision.
CoRR
Dazhong Shen, Guanglu Song, Yi Zhang, Bingqi Ma, Lujundong Li, Dongzhi Jiang, Zhuofan Zong, Yu Liu
2025 A* conf
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.
ICML
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li
2025 J jnl
High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning.
CoRR
Dailan He, Xiahong Wang, Shulun Wang, Guanglu Song, Bingqi Ma, Hao Shao, Yu Liu, Hongsheng Li
2025 J jnl
HunyuanImage 3.0 Technical Report.
CoRR
Siyu Cao, Hangting Chen, Peng Chen, Yiji Cheng, Yutao Cui, Xinchi Deng, Ying Dong, Kipper Gong, Tianpeng Gu, Xiusen Gu, Tiankai Hang, Duojun Huang, Jie Jiang, Zhengkai Jiang, Weijie Kong, Changlin Li, Donghao Li, Junzhe Li, Xin Li, Yang Li, Zhenxi Li, Zhimin Li, Jiaxin Lin, Linus, Lucaz Liu, Shu Liu, Songtao Liu, Yu Liu, Yuhong Liu, Yanxin Long, Fanbin Lu, Qinglin Lu, Yuyang Peng, Yuanbo Peng, Xiangwei Shen, Yixuan Shi, Jiale Tao, Yangyu Tao, Qi Tian, Pengfei Wan, Chunyu Wang, Kai Wang, Lei Wang, Linqing Wang, Lucas Wang, Qixun Wang, Weiyan Wang, Hao Wen, Bing Wu, Jianbing Wu, Yue Wu, Senhao Xie, Fang Yang, Miles Yang, Xiaofeng Yang, Xuan Yang, Zhantao Yang, Jingmiao Yu, Zheng Yuan, Chao Zhang, Jian-Wei Zhang, Peizhen Zhang, Shi-Xue Zhang, Tao Zhang, Weigang Zhang, Yepeng Zhang, Yingfang Zhang, Zihao Zhang, Zijian Zhang, Penghao Zhao, Zhiyuan Zhao, Xuefei Zhe, Jianchen Zhu, Zhao Zhong
2025 J jnl
MM-instruct: Generated visual instructions for large multimodal model alignment.
Neurocomputing
Xin Huang, Jihao Liu, Jinliang Zheng, Boxiao Liu, Jia Wang, Yu Liu, Hongsheng Li, Osamu Yoshie
2025 A* conf
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines.
ICLR
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li
2025 J jnl
Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models.
CoRR
Dailan He, Guanlin Feng, Xingtong Ge, Yazhe Niu, Yi Zhang, Bingqi Ma, Guanglu Song, Yu Liu, Hongsheng Li
2025 J jnl
Rethinking Video Tokenization: A Conditioned Diffusion-based Approach.
CoRR
Nianzu Yang, Pandeng Li, Liming Zhao, Yang Li, Chen-Wei Xie, Yehui Tang, Xudong Lu, Zhihang Liu, Yun Zheng, Yu Liu, Junchi Yan
2025 A* conf
Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning.
ICRA
Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan
2025 A* conf
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction.
ICLR
Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2025 J jnl
UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting.
CoRR
Lu Han, Yu Liu, Qiwen Deng, Jian Jiang, Yinbo Sun, Zhe Yu, Binfeng Wang, Xingyu Lu, Lintao Ma, Han-Jia Ye, De-Chuan Zhan
2025 J jnl
UniZero: Generalized and Efficient Planning with Scalable Latent World Models.
Trans. Mach. Learn. Res.
Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu
2025 A* conf
Universal Actions for Enhanced Embodied Foundation Models.
CVPR
Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan
2025 J jnl
Universal Actions for Enhanced Embodied Foundation Models.
CoRR
Jinliang Zheng, Jianxiong Li, Dongxiu Liu, Yinan Zheng, Zhihao Wang, Zhonghong Ou, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan
2024 A* conf
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.
AAAI
Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2024 J jnl
Adaptive pessimism via target Q-value for offline reinforcement learning.
Neural Networks
Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, Yu Liu, Wanli Ouyang
2024 J jnl
AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning.
CoRR
Fu-Yun Wang, Zhaoyang Huang, Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li
2024 — conf
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data.
SIGGRAPH Asia Technical Communications
Fu-Yun Wang, Zhaoyang Huang, Weikang Bian, Xiaoyu Shi, Keqiang Sun, Guanglu Song, Yu Liu, Hongsheng Li
2024 — conf
Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation.
ECCV (44)
Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li
2024 J jnl
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation.
CoRR
Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li
2024 J jnl
CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation.
CoRR
Fuxian Huang, Qi Zhang, Shaopeng Zhai, Jie Wang, Tianyi Zhang, Haoran Zhang, Ming Zhou, Yu Liu, Yu Qiao
2024 A* conf
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.
NeurIPS
Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
2024 J jnl
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.
CoRR
Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
2024 A* conf
Critic-Guided Decision Transformer for Offline Reinforcement Learning.
AAAI
Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao
2024 A* conf
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning.
ICML
Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan
2024 J jnl
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning.
CoRR
Jianxiong Li, Jinliang Zheng, Yinan Zheng, Liyuan Mao, Xiao Hu, Sijie Cheng, Haoyi Niu, Jihao Liu, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Xianyuan Zhan
2024 — conf
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models.
ECCV (83)
Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li
2024 J jnl
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models.
CoRR
Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li
2024 A* conf
EasyDrag: Efficient Point-Based Manipulation on Diffusion Models.
CVPR
Xingzhong Hou, Boxiao Liu, Yi Zhang, Jihao Liu, Yu Liu, Haihang You
2024 J jnl
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.
CoRR
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li
2024 J jnl
Enhancing Vision-Language Model with Unmasked Token Alignment.
CoRR
Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li
2024 J jnl
Enhancing Vision-Language Model with Unmasked Token Alignment.
Trans. Mach. Learn. Res.
Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li
2024 A* conf
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models.
NeurIPS
Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu
2024 J jnl
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models.
CoRR
Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu
2024 J jnl
FlashFace: Human Image Personalization with High-fidelity Identity Preservation.
CoRR
Shilong Zhang, Lianghua Huang, Xi Chen, Yifei Zhang, Zhi-Fan Wu, Yutong Feng, Wei Wang, Yujun Shen, Yu Liu, Ping Luo
2024 — conf
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis.
ECCV (12)
Linjiang Huang, Rongyao Fang, Aiping Zhang, Guanglu Song, Si Liu, Yu Liu, Hongsheng Li
2024 J jnl
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis.
CoRR
Linjiang Huang, Rongyao Fang, Aiping Zhang, Guanglu Song, Si Liu, Yu Liu, Hongsheng Li
2024 A* conf
GLID: Pre-training a Generalist Encoder-Decoder Vision Model.
CVPR
Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li
2024 J jnl
GLID: Pre-training a Generalist Encoder-Decoder Vision Model.
CoRR
Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li
2024 — conf
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.
ECCV Workshops (8)
Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Yu Liu, Kai Chen, Ping Luo
2024 A* conf
Instruction-Guided Visual Masking.
NeurIPS
Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
2024 J jnl
Instruction-Guided Visual Masking.
CoRR
Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
2024 A* conf
LMDrive: Closed-Loop End-to-End Driving with Large Language Models.
CVPR
Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li
2024 J jnl
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment.
CoRR
Jihao Liu, Xin Huang, Jinliang Zheng, Boxiao Liu, Jia Wang, Osamu Yoshie, Yu Liu, Hongsheng Li
2024 J jnl
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.
CoRR
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li
2024 J jnl
MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning.
Trans. Mach. Learn. Res.
Jie Liu, Yinmin Zhang, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
2024 A* conf
MoVA: Adapting Mixture of Vision Experts to Multimodal Context.
NeurIPS
Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
2024 J jnl
MoVA: Adapting Mixture of Vision Experts to Multimodal Context.
CoRR
Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
2024 J jnl
Phased Consistency Model.
CoRR
Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li, Xiaogang Wang
2024 A* conf
Phased Consistency Models.
NeurIPS
Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li
2024 J jnl
Pretrained Reversible Generation as Unsupervised Visual Representation Learning.
CoRR
Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang
2024 J jnl
PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements.
CoRR
Xueyan Li, Xinyan Chen, Yazhe Niu, Shuai Hu, Yu Liu
2024 J jnl
ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze.
CoRR
Chunyu Xuan, Yazhe Niu, Yuan Pu, Shuai Hu, Yu Liu, Jing Yang
2024 A* conf
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance.
CVPR
Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu
2024 J jnl
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance.
CoRR
Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu
2024 J jnl
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective.
CoRR
Jinouwen Zhang, Rongkun Xue, Yazhe Niu, Yun Chen, Jing Yang, Hongsheng Li, Yu Liu
2024 J jnl
Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning.
CoRR
Jianxiong Li, Zhihao Wang, Jinliang Zheng, Xiaoai Zhou, Guanming Wang, Guanglu Song, Yu Liu, Jingjing Liu, Ya-Qin Zhang, Junzhi Yu, Xianyuan Zhan
2024 J jnl
See Further When Clear: Curriculum Consistency Model.
CoRR
Yunpeng Liu, Boxiao Liu, Yi Zhang, Xingzhong Hou, Guanglu Song, Yu Liu, Haihang You
2024 J jnl
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction.
CoRR
Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2024 A* conf
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction.
CVPR
Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2024 J jnl
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction.
CoRR
Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
2024 — conf
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction Tasks.
ECCV (42)
Manyuan Zhang, Guanglu Song, Xiaoyu Shi, Yu Liu, Hongsheng Li
2024 J jnl
UniZero: Generalized and Efficient Planning with Scalable Latent World Models.
CoRR
Yuan Pu, Yazhe Niu, Jiyuan Ren, Zhenjie Yang, Hongsheng Li, Yu Liu
2024 A* conf
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning.
NeurIPS
Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li
2024 J jnl
Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models.
CoRR
Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li
2024 J jnl
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping.
CoRR
Hao Shao, Shulun Wang, Yang Zhou, Guanglu Song, Dailan He, Shuo Qin, Zhuofan Zong, Bingqi Ma, Yu Liu, Hongsheng Li
2024 — conf
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model.
ECCV (45)
Fu-Yun Wang, Zhaoyang Huang, Qiang Ma, Guanglu Song, Xudong Lu, Weikang Bian, Yijin Li, Yu Liu, Hongsheng Li
2023 J jnl
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.
CoRR
Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023 A* conf
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency.
AAAI
Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023 A conf
Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills.
IROS
Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu
2023 J jnl
Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models.
CoRR
Zhanhui Zhou, Jie Liu, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao
2023 J jnl
Critic-Guided Decision Transformer for Offline Reinforcement Learning.
CoRR
Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao
2023 A* conf
DETRs with Collaborative Hybrid Assignments Training.
ICCV
Zhuofan Zong, Guanglu Song, Yu Liu
2023 A* conf
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection.
ICCV
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
2023 J jnl
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection.
CoRR
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
2023 J jnl
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations.
CoRR
Lu Li, Yuxin Pan, Ruobing Chen, Jie Liu, Zilin Wang, Yu Liu, Zhiheng Li
2023 — conf
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.
Robotics: Science and Systems
Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander
2023 J jnl
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.
CoRR
Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander
2023 J jnl
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.
CoRR
Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
2023 A* conf
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding.
ICCV
Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li
2023 A* conf
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation.
ICLR
Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu
2023 J jnl
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan
2023 J jnl
LMDrive: Closed-Loop End-to-End Driving with Large Language Models.
CoRR
Hao Shao, Yuxuan Hu, Letian Wang, Steven L. Waslander, Yu Liu, Hongsheng Li
2023 A* conf
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios.
NeurIPS
Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu
2023 J jnl
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios.
CoRR
Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu
2023 A* conf
Masked Autoencoders Are Stronger Knowledge Distillers.
ICCV
Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang
2023 J jnl
Masked Pretraining for Multi-Agent Decision Making.
CoRR
Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
2023 A* conf
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers.
CVPR
Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu, Hongsheng Li
2023 A* conf
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.
NeurIPS
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
2023 J jnl
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths.
CoRR
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
2023 A* conf
ReasonNet: End-to-End Driving with Temporal and Global Reasoning.
CVPR
Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
2023 J jnl
ReasonNet: End-to-End Driving with Temporal and Global Reasoning.
CoRR
Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
2023 J jnl
Teach-DETR: Better Training DETR With Teachers.
IEEE Trans. Pattern Anal. Mach. Intell.
Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li
2023 A* conf
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.
ICCV
Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu
2023 J jnl
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.
CoRR
Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu
2023 A conf
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.
ECAI
Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023 J jnl
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.
CoRR
Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023 J jnl
Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding.
CoRR
Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li
2023 J jnl
Towards Large-scale Masked Face Recognition.
CoRR
Manyuan Zhang, Bingqi Ma, Guanglu Song, Yunxiao Wang, Hongsheng Li, Yu Liu
2023 A* conf
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization.
ACM Multimedia
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
2023 J jnl
UniFormer: Unifying Convolution and Self-Attention for Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao
2023 A* conf
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors.
ICCV
Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang
2022 J jnl
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency.
CoRR
Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2022 J jnl
Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills.
CoRR
Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu
2022 J jnl
DETRs with Collaborative Hybrid Assignments Training.
CoRR
Zhuofan Zong, Guanglu Song, Yu Liu
2022 J jnl
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
CoRR
Xiaosong Jia, Penghao Wu, Li Chen, Hongyang Li, Yu Liu, Junchi Yan
2022 J jnl
Large-batch Optimization for Dense Visual Predictions.
CoRR
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
2022 A* conf
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes.
NeurIPS
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
2022 J jnl
Meta Knowledge Distillation.
CoRR
Jihao Liu, Boxiao Liu, Hongsheng Li, Yu Liu
2022 J jnl
MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning.
CoRR
Jihao Liu, Xin Huang, Yu Liu, Hongsheng Li
2022 — conf
Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces.
ECCV (12)
Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu
2022 J jnl
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces.
CoRR
Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu
2022 Misc conf
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer.
CoRL
Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu
2022 J jnl
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer.
CoRR
Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu
2022 — conf
Self-slimmed Vision Transformer.
ECCV (11)
Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu
2022 J jnl
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization.
CoRR
Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou
2022 J jnl
Teach-DETR: Better Training DETR with Teachers.
CoRR
Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li
2022 — conf
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers.
ECCV (26)
Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu
2022 J jnl
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers.
CoRR
Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu
2022 — conf
Towards Robust Face Recognition with Comprehensive Search.
ECCV (12)
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
2022 J jnl
Towards Robust Face Recognition with Comprehensive Search.
CoRR
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
2022 A* conf
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning.
ICLR
Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao
2022 J jnl
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning.
CoRR
Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao
2022 J jnl
UniFormer: Unifying Convolution and Self-attention for Visual Recognition.
CoRR
Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao
2022 — conf
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP.
ECCV (21)
Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu
2022 J jnl
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP.
CoRR
Jihao Liu, Xin Huang, Guanglu Song, Yu Liu, Hongsheng Li
2022 — conf
Unifying Visual Perception by Dispersible Points Learning.
ECCV (9)
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
2022 J jnl
Unifying Visual Perception by Dispersible Points Learning.
CoRR
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
2021 A* conf
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization.
CVPR
Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li
2021 J jnl
FNAS: Uncertainty-Aware Fast Neural Architecture Search.
CoRR
Jihao Liu, Ming Zhang, Yangting Sun, Boxiao Liu, Guanglu Song, Yu Liu, Hongsheng Li
2021 J jnl
INTERN: A New Learning Paradigm Towards General Vision.
CoRR
Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao
2021 — conf
Rectifying the Data Bias in Knowledge Distillation.
ICCVW
Boxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu
2021 J jnl
Self-slimmed Vision Transformer.
CoRR
Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu
2021 A* conf
Switchable K-class Hyperplanes for Noise-Robust Representation Learning.
ICCV
Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu
2021 J jnl
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP.
CoRR
Jihao Liu, Hongsheng Li, Guanglu Song, Xin Huang, Yu Liu
2020 J jnl
1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation.
CoRR
Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang
2020 J jnl
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020.
CoRR
Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu
2020 J jnl
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020.
CoRR
Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan
2020 — conf
Discriminability Distillation in Group Representation Learning.
ECCV (10)
Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
2020 J jnl
Discriminability Distillation in Group Representation Learning.
CoRR
Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
2020 A* conf
KPNet: Towards Minimal Face Detector.
AAAI
Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
2020 J jnl
KPNet: Towards Minimal Face Detector.
CoRR
Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
2020 — conf
Learning Where to Focus for Efficient Video Object Detection.
ECCV (16)
Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan
2020 A* conf
Revisiting the Sibling Head in Object Detector.
CVPR
Guanglu Song, Yu Liu, Xiaogang Wang
2020 J jnl
Revisiting the Sibling Head in Object Detector.
CoRR
Guanglu Song, Yu Liu, Xiaogang Wang
2020 A* conf
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images.
CVPR
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang
2020 J jnl
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images.
CoRR
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang
2020 A* conf
Search to Distill: Pearls Are Everywhere but Not the Eyes.
CVPR
Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
2020 J jnl
Top-1 Solution of Multi-Moments in Time Challenge 2019.
CoRR
Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan
2019 A* conf
Conditional Adversarial Generative Flow for Controllable Image Synthesis.
CVPR
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
2019 J jnl
Conditional Adversarial Generative Flow for Controllable Image Synthesis.
CoRR
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
2019 A* conf
Correlation Congruence for Knowledge Distillation.
ICCV
Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu
2019 J jnl
Correlation Congruence for Knowledge Distillation.
CoRR
Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang
2019 A* conf
Differentiable Kernel Evolution.
ICCV
Yu Liu, Jihao Liu, Xiaogang Wang, Ailing Zeng
2019 A* conf
Gradient Harmonized Single-Stage Detector.
AAAI
Buyu Li, Yu Liu, Xiaogang Wang
2019 A* conf
Knowledge Distillation via Route Constrained Optimization.
ICCV
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
2019 J jnl
Knowledge Distillation via Route Constrained Optimization.
CoRR
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
2019 J jnl
Learning Motion Priors for Efficient Video Object Detection.
CoRR
Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Qian Zhang, Shiming Xiang, Chunhong Pan
2019 A* conf
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation.
AAAI
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
2019 — conf
Towards Flops-Constrained Face Recognition.
ICCV Workshops
Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan
2019 J jnl
Towards Flops-constrained Face Recognition.
CoRR
Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan
2019 J jnl
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection.
Int. J. Comput. Vis.
Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang
2018 A* conf
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy.
CVPR
Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng
2018 J jnl
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy.
CoRR
Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng
2018 J jnl
Crafting GBD-Net for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang
2018 A* conf
Exploring Disentangled Feature Representation Beyond Face Identification.
CVPR
Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
2018 J jnl
Exploring Disentangled Feature Representation Beyond Face Identification.
CoRR
Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
2018 A* conf
Region-Based Quality Estimation Network for Large-Scale Person Re-Identification.
AAAI
Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
2018 J jnl
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation.
CoRR
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
2018 — conf
Transductive Centroid Projection for Semi-supervised Large-Scale Recognition.
ECCV (5)
Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang
2017 B conf
Do we really need more training data for object localization.
ICIP
Hongyang Li, Yu Liu, Xin Zhang, Zhecheng An, Jingjing Wang, Yibo Chen, Jihong Tong
2017 J jnl
Learning Deep Features via Congenerous Cosine Loss for Person Recognition.
CoRR
Yu Liu, Hongyang Li, Xiaogang Wang
2017 A* conf
Quality Aware Network for Set to Set Recognition.
CVPR
Yu Liu, Junjie Yan, Wanli Ouyang
2017 J jnl
Quality Aware Network for Set to Set Recognition.
CoRR
Yu Liu, Junjie Yan, Wanli Ouyang
2017 A* conf
Recurrent Scale Approximation for Object Detection in CNN.
ICCV
Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang
2017 J jnl
Recurrent Scale Approximation for Object Detection in CNN.
CoRR
Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang
2017 J jnl
Region-based Quality Estimation Network for Large-scale Person Re-identification.
CoRR
Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
2017 J jnl
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition.
CoRR
Yu Liu, Hongyang Li, Xiaogang Wang
2017 A* conf
Scale-Aware Face Detection.
CVPR
Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
2017 J jnl
Scale-Aware Face Detection.
CoRR
Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
2017 J jnl
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection.
CoRR
Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang
2017 J jnl
Zoom Out-and-In Network with Recursive Training for Object Proposal.
CoRR
Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang
2016 J jnl
3D object understanding with 3D Convolutional Neural Networks.
Inf. Sci.
Biao Leng, Yu Liu, Kai Yu, Xiangyang Zhang, Zhang Xiong
2016 J jnl
Cascade shallow CNN structure for face verification and identification.
Neurocomputing
Biao Leng, Yu Liu, Kai Yu, Songting Xu, Ziqing Yuan, Jingyan Qin
2016 J jnl
Crafting GBD-Net for Object Detection.
CoRR
Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang
2016 — conf
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature.
ECCV Workshops (2)
Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan
2016 J jnl
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature.
CoRR
Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan