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Yu Liu 0015
Person information
- affiliation: Sensetime Group Limited, Beijing, China
- affiliation: Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Yu Liu — disambiguation page
- Yu Liu 0001 — Beijing University of Posts and Telecommunications, School of Information and Communication, China (and 3 more)
- Yu Liu 0002 — Harbin Institute of Technology, Data and Knowledge Engineering Research Center, China
- Yu Liu 0003 — Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Yu Liu 0004 — Tianjin University, School of Electronics and Information, China
- Yu Liu 0005 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China (and 2 more)
- Yu Liu 0006 — University of Electronic Science and Technology of China, School of Mechatronics Engineering, Chengdu, China
- Yu Liu 0007 — City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Yu Liu 0008 — National University of Defense Technology, Department of System Engineering, Changsha, China (and 1 more)
- Yu Liu 0009 — Harbin Institute of Technology, School of Astronautics, China
- Yu Liu 0010 — Southeast University, School of Electrical Engineering, Nanjing, China
- Yu Liu 0011 — Linköping University, Norrköping, Sweden
- Yu Liu 0012 — KU Leuven, ESAT-PSI, Leuven, Belgium (and 2 more)
- Yu Liu 0013 — Inceptio Technology, Fremont, CA, USA (and 1 more)
- Yu Liu 0014 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Yu Liu 0016 — Tsinghua University, Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, TNList, Beijing, China
- Yu Liu 0017 — South China University of Technology, Department of Computer Science and Engineering, Guangzhou, China
- Yu Liu 0018 — Imperial College London, UK
- Yu Liu 0019 — Arizona State University, Tempe, USA
- Yu Liu 0020 — Shandong University, Shandong Provincial Key Lab of Wireless Communication Technologies, Shandong, China
- Yu Liu 0021 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Yu Liu 0022 — Weifang University, School of Computer Engineering, China
- Yu Liu 0023 — Hefei University of Technology, Department of Biomedical Engineering, China (and 1 more)
- Yu Liu 0024 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, China
- Yu Liu 0025 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China
- Yu Liu 0026 — Chongqing University of Posts and Telecommunications, Chongqing Engineering Research Center of Intelligent Sensing Technology and Microsystem, Department of Optoelectronics Engineering, China (and 1 more)
- Yu Liu 0027 — Southern University of Science and Technology, Shenzhen Key Laboratory of Complex Aerospace Flows, Shenzhen, China
- Yu Liu 0028 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Yu Liu 0029 — University of Adelaide, School of Computer Science, Adelaide, Australia
- Yu Liu 0030 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Yu Liu 0031 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Yu Liu 0032 — China University of Mining and Technology, School of Mechanical and Electrical Engineering, Xuzhou, China
- Yu Liu 0033 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Fractional Signals and Systems, Beijing, China
- Yu Liu 0034 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
- Yu Liu 0035 — Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China (and 2 more)
- Yu Liu 0036 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Yu Liu 0037 — Virginia Commonwealth University, Department of Electrical and Computer Engineering, Richmond, VA, USA (and 1 more)
- Yu Liu 0038 — Wuhan Polytechnic University, School of Mathematics and Computer Science, Wuhan, China
- Yu Liu 0039 — Guizhou University, College of Mining, Guiyang, China (and 1 more)
- Yu Liu 0040 — Huazhong University of Science and Technology, Wuhan, China
- Yu Liu 0041 — Huawei Technology Co. Ltd, Shenzhen, China (and 1 more)
- Yu Liu 0042 — New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark, NJ, USA
- Yu Liu 0043 — South China University of Technology, School of Software Engineering, Guangzhou, China
- Yu Liu 0044 — Saginaw Valley State University, University Center, MI, USA (and 1 more)
- Yu Liu 0045 — Jiangnan University, Wuxi, China (and 1 more)
- Yu Liu 0046 — Hong Kong Baptist University, Department of Computer Science, Hong Kong (and 1 more)
- Yu Liu 0047 — Beijing University of Posts and Telecommunications, China
- Yu Liu 0048 — North China Electric Power University, Baoding, China
- Yu Liu 0049 — Shijiazhuang Posts and Telecommunications Technical College, China
- Yu Liu 0050 — Chongqing Three Gorges University, College of Electronic and Information Engineering, China
- Yu Liu 0051 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- Yu Liu 0052 — Southeast University, Nanjing, School of Computer Science and Engineering, China
- Yu Liu 0053 — University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Yu Liu 0054 — Tsinghua University, School of Aerospace Engineering, Beijing, China
- Yu Liu 0055 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yu Liu 0056 — Xiamen University, School of Aerospace Engineering, China
- Yu Liu 0057 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
- Yu Liu 0058 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Yu Liu 0059 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
- Yu Liu 0060 — University Burgundy Franche-Comté, Laboratoire ImViA, Dijon, France
- Yu Liu 0061 — AI Research, Citadel LLC, Seattle, WA, USA (and 1 more)
- Yu Liu 0062 — Cummins Technical Center, Columbus, IN, USA (and 1 more)
- Yu Liu 0063 — Alibaba Group, Machine Intelligence Technology Lab
- Yu Liu 0064 — Beijing Normal University, International Academic Center of Complex Systems, Zhuhai, China
- Yu Liu 0065 — University College London, UK
- Yu Liu 0066 — University of Hong Kong
- Yu Liu 0067 — Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- Yu Liu 0068 — Department of Computer Science and Technology, Tsinghua University, Beijing, China
- Yu Liu 0069 — Clarkson University, CS Department, Potsdam, USA
- Yu Liu 0070 — Beijing Jiaotong University, China
- Yu Liu 0071 — Ant Group
- Yu Liu 0072 — University Putra Malaysia, Faculty of Computer Science and Information Technology, Serdang, Malaysia
Other persons with a similar name
- Tianyu Liu (aka: Tian-Yu Liu) — disambiguation page
- Xiaoyu Liu (aka: XiaoYu Liu, Xiao-yu Liu, Xiao-Yu Liu) — disambiguation page
- Yu-Shen Liu
- Yuan Liu (aka: Yu'an Liu, Yu-An Liu) — disambiguation page
- Yuchen Liu (aka: YuChen Liu, Yu-Chen Liu) — disambiguation page
- Yue Liu — disambiguation page
- Yuhang Liu (aka: Yu-Hang Liu) — disambiguation page
- Ziyu Liu (aka: Zi-Yu Liu) — disambiguation page
- Ming-Yu Liu 0001 — Nvidia Research (and 2 more)
- Yue Liu 0005 — Beijing Institute of Technology, Department of Optical Engineering, China
- show all similar names
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2020 – today
- 2024
- [j10]Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, Yu Liu, Wanli Ouyang:
Adaptive pessimism via target Q-value for offline reinforcement learning. Neural Networks 180: 106588 (2024) - [j9]Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li:
Enhancing Vision-Language Model with Unmasked Token Alignment. Trans. Mach. Learn. Res. 2024 (2024) - [c54]Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao:
Critic-Guided Decision Transformer for Offline Reinforcement Learning. AAAI 2024: 15706-15714 - [c53]Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. AAAI 2024: 16908-16916 - [c52]Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu:
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. CVPR 2024: 9370-9379 - [c51]Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li:
LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CVPR 2024: 15120-15130 - [c50]Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CVPR 2024: 15281-15290 - [c49]Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li:
GLID: Pre-training a Generalist Encoder-Decoder Vision Model. CVPR 2024: 22851-22860 - [c48]Manyuan Zhang, Guanglu Song, Xiaoyu Shi, Yu Liu, Hongsheng Li:
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction Tasks. ECCV (42) 2024: 128-145 - [c47]Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li:
Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation. ECCV (44) 2024: 153-168 - [i81]Fu-Yun Wang, Zhaoyang Huang, Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li:
AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning. CoRR abs/2402.00769 (2024) - [i80]Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu:
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CoRR abs/2403.11492 (2024) - [i79]Linjiang Huang, Rongyao Fang, Aiping Zhang, Guanglu Song, Si Liu, Yu Liu, Hongsheng Li:
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis. CoRR abs/2403.12963 (2024) - [i78]Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li:
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation. CoRR abs/2403.13745 (2024) - [i77]Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li:
Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models. CoRR abs/2403.16999 (2024) - [i76]Shilong Zhang, Lianghua Huang, Xi Chen, Yifei Zhang, Zhi-Fan Wu, Yutong Feng, Wei Wang, Yujun Shen, Yu Liu, Ping Luo:
FlashFace: Human Image Personalization with High-fidelity Identity Preservation. CoRR abs/2403.17008 (2024) - [i75]Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching. CoRR abs/2404.03653 (2024) - [i74]Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu:
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. CoRR abs/2404.05384 (2024) - [i73]Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li:
GLID: Pre-training a Generalist Encoder-Decoder Vision Model. CoRR abs/2404.07603 (2024) - [i72]Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu:
MoVA: Adapting Mixture of Vision Experts to Multimodal Context. CoRR abs/2404.13046 (2024) - [i71]Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li:
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models. CoRR abs/2405.00760 (2024) - [i70]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:
Phased Consistency Model. CoRR abs/2405.18407 (2024) - [i69]Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li:
Enhancing Vision-Language Model with Unmasked Token Alignment. CoRR abs/2405.19009 (2024) - [i68]Yuan Pu, Yazhe Niu, Jiyuan Ren, Zhenjie Yang, Hongsheng Li, Yu Liu:
UniZero: Generalized and Efficient Planning with Scalable Latent World Models. CoRR abs/2406.10667 (2024) - [i67]Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu:
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models. CoRR abs/2406.11831 (2024) - [i66]Xueyan Li, Xinyan Chen, Yazhe Niu, Shuai Hu, Yu Liu:
PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements. CoRR abs/2408.03337 (2024) - [i65]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:
MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines. CoRR abs/2409.12959 (2024) - [i64]Fuxian Huang, Qi Zhang, Shaopeng Zhai, Jie Wang, Tianyi Zhang, Haoran Zhang, Ming Zhou, Yu Liu, Yu Qiao:
CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State Representation. CoRR abs/2409.15806 (2024) - 2023
- [j8]Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unifying Convolution and Self-Attention for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12581-12600 (2023) - [j7]Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan:
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13860-13875 (2023) - [j6]Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li:
Teach-DETR: Better Training DETR With Teachers. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15759-15771 (2023) - [c46]Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. AAAI 2023: 8536-8544 - [c45]Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu, Hongsheng Li:
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers. CVPR 2023: 6252-6261 - [c44]Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu:
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CVPR 2023: 13723-13733 - [c43]Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. ECAI 2023: 1381-1388 - [c42]Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu:
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. ICCV 2023: 3758-3767 - [c41]Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang:
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. ICCV 2023: 6339-6349 - [c40]Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. ICCV 2023: 6578-6587 - [c39]Zhuofan Zong, Guanglu Song, Yu Liu:
DETRs with Collaborative Hybrid Assignments Training. ICCV 2023: 6725-6735 - [c38]Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li:
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding. ICCV 2023: 17793-17803 - [c37]Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu:
Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills. IROS 2023: 11289-11296 - [c36]Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia 2023: 2507-2515 - [c35]Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu:
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. NeurIPS 2023 - [c34]Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. Robotics: Science and Systems 2023 - [i63]Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li:
Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding. CoRR abs/2303.11325 (2023) - [i62]Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu:
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. CoRR abs/2304.00967 (2023) - [i61]Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. CoRR abs/2305.04412 (2023) - [i60]Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu:
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CoRR abs/2305.10507 (2023) - [i59]Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li:
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising. CoRR abs/2305.18264 (2023) - [i58]Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo:
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. CoRR abs/2305.18295 (2023) - [i57]Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. CoRR abs/2307.12933 (2023) - [i56]Zhanhui Zhou, Jie Liu, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao:
Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models. CoRR abs/2310.03708 (2023) - [i55]Yazhe Niu, Yuan Pu, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu:
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. CoRR abs/2310.08348 (2023) - [i54]Lu Li, Yuxin Pan, Ruobing Chen, Jie Liu, Zilin Wang, Yu Liu, Zhiheng Li:
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations. CoRR abs/2310.08823 (2023) - [i53]Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang:
Masked Pretraining for Multi-Agent Decision Making. CoRR abs/2310.11846 (2023) - [i52]Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. CoRR abs/2310.15955 (2023) - [i51]Manyuan Zhang, Bingqi Ma, Guanglu Song, Yunxiao Wang, Hongsheng Li, Yu Liu:
Towards Large-scale Masked Face Recognition. CoRR abs/2310.16364 (2023) - [i50]Hao Shao, Yuxuan Hu, Letian Wang, Steven L. Waslander, Yu Liu, Hongsheng Li:
LMDrive: Closed-Loop End-to-End Driving with Large Language Models. CoRR abs/2312.07488 (2023) - [i49]Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. CoRR abs/2312.07685 (2023) - [i48]Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao:
Critic-Guided Decision Transformer for Offline Reinforcement Learning. CoRR abs/2312.13716 (2023) - 2022
- [c33]Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu:
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. CoRL 2022: 726-737 - [c32]Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu:
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. ECCV (21) 2022: 33-49 - [c31]Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu:
Self-slimmed Vision Transformer. ECCV (11) 2022: 432-448 - [c30]Jianming Liang, Guanglu Song, Biao Leng, Yu Liu:
Unifying Visual Perception by Dispersible Points Learning. ECCV (9) 2022: 439-456 - [c29]Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu:
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers. ECCV (26) 2022: 455-471 - [c28]Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu:
Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces. ECCV (12) 2022: 614-630 - [c27]Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Towards Robust Face Recognition with Comprehensive Search. ECCV (12) 2022: 720-736 - [c26]Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning. ICLR 2022 - [c25]Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo:
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. NeurIPS 2022 - [i47]Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning. CoRR abs/2201.04676 (2022) - [i46]Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unifying Convolution and Self-attention for Visual Recognition. CoRR abs/2201.09450 (2022) - [i45]Jihao Liu, Boxiao Liu, Hongsheng Li, Yu Liu:
Meta Knowledge Distillation. CoRR abs/2202.07940 (2022) - [i44]Xiaosong Jia, Penghao Wu, Li Chen, Hongyang Li, Yu Liu, Junchi Yan:
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. CoRR abs/2205.09753 (2022) - [i43]Jihao Liu, Xin Huang, Yu Liu, Hongsheng Li:
MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning. CoRR abs/2205.13137 (2022) - [i42]Jihao Liu, Xin Huang, Guanglu Song, Yu Liu, Hongsheng Li:
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. CoRR abs/2207.05420 (2022) - [i41]Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu:
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers. CoRR abs/2207.08409 (2022) - [i40]Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu:
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. CoRR abs/2207.14024 (2022) - [i39]Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu:
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces. CoRR abs/2208.04352 (2022) - [i38]Jianming Liang, Guanglu Song, Biao Leng, Yu Liu:
Unifying Visual Perception by Dispersible Points Learning. CoRR abs/2208.08630 (2022) - [i37]Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. CoRR abs/2208.09023 (2022) - [i36]Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Towards Robust Face Recognition with Comprehensive Search. CoRR abs/2208.13600 (2022) - [i35]Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu:
Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills. CoRR abs/2209.12072 (2022) - [i34]Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo:
Large-batch Optimization for Dense Visual Predictions. CoRR abs/2210.11078 (2022) - [i33]Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li:
Teach-DETR: Better Training DETR with Teachers. CoRR abs/2211.11953 (2022) - [i32]Zhuofan Zong, Guanglu Song, Yu Liu:
DETRs with Collaborative Hybrid Assignments Training. CoRR abs/2211.12860 (2022) - [i31]Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency. CoRR abs/2211.16068 (2022) - 2021
- [c24]Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li:
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization. CVPR 2021: 464-474 - [c23]Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu:
Switchable K-class Hyperplanes for Noise-Robust Representation Learning. ICCV 2021: 2999-3008 - [c22]Boxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu:
Rectifying the Data Bias in Knowledge Distillation. ICCVW 2021: 1477-1486 - [i30]Jihao Liu, Ming Zhang, Yangting Sun, Boxiao Liu, Guanglu Song, Yu Liu, Hongsheng Li:
FNAS: Uncertainty-Aware Fast Neural Architecture Search. CoRR abs/2105.11694 (2021) - [i29]Jihao Liu, Hongsheng Li, Guanglu Song, Xin Huang, Yu Liu:
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. CoRR abs/2110.04035 (2021) - [i28]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:
INTERN: A New Learning Paradigm Towards General Vision. CoRR abs/2111.08687 (2021) - [i27]Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu:
Self-slimmed Vision Transformer. CoRR abs/2111.12624 (2021) - 2020
- [c21]Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan:
KPNet: Towards Minimal Face Detector. AAAI 2020: 12015-12022 - [c20]Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. CVPR 2020: 5910-5919 - [c19]Guanglu Song, Yu Liu, Xiaogang Wang:
Revisiting the Sibling Head in Object Detector. CVPR 2020: 11560-11569 - [c18]Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu:
Discriminability Distillation in Group Representation Learning. ECCV (10) 2020: 1-19 - [c17]Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning Where to Focus for Efficient Video Object Detection. ECCV (16) 2020: 18-34 - [i26]Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan:
Top-1 Solution of Multi-Moments in Time Challenge 2019. CoRR abs/2003.05837 (2020) - [i25]Guanglu Song, Yu Liu, Xiaogang Wang:
Revisiting the Sibling Head in Object Detector. CoRR abs/2003.07540 (2020) - [i24]Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan:
KPNet: Towards Minimal Face Detector. CoRR abs/2003.07543 (2020) - [i23]Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang:
1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation. CoRR abs/2003.07557 (2020) - [i22]Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images. CoRR abs/2003.08124 (2020) - [i21]Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu:
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020. CoRR abs/2006.09116 (2020) - [i20]Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan:
Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020. CoRR abs/2007.09883 (2020) - [i19]Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu:
Discriminability Distillation in Group Representation Learning. CoRR abs/2008.10850 (2020)
2010 – 2019
- 2019
- [j5]Xiaogang Wang, Xiyu Liu, Yu Liu:
An incremental model transfer method for complex process fault diagnosis. IEEE CAA J. Autom. Sinica 6(5): 1268-1280 (2019) - [j4]Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang:
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection. Int. J. Comput. Vis. 127(3): 225-238 (2019) - [c16]Buyu Li, Yu Liu, Xiaogang Wang:
Gradient Harmonized Single-Stage Detector. AAAI 2019: 8577-8584 - [c15]Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang:
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. AAAI 2019: 9299-9306 - [c14]Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li:
Conditional Adversarial Generative Flow for Controllable Image Synthesis. CVPR 2019: 7992-8001 - [c13]Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. ICCV 2019: 1345-1354 - [c12]Yu Liu, Jihao Liu, Xiaogang Wang, Ailing Zeng:
Differentiable Kernel Evolution. ICCV 2019: 1834-1843 - [c11]Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu:
Correlation Congruence for Knowledge Distillation. ICCV 2019: 5006-5015 - [c10]Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan:
Towards Flops-Constrained Face Recognition. ICCV Workshops 2019: 2698-2702 - [i18]Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li:
Conditional Adversarial Generative Flow for Controllable Image Synthesis. CoRR abs/1904.01782 (2019) - [i17]Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang:
Correlation Congruence for Knowledge Distillation. CoRR abs/1904.01802 (2019) - [i16]Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. CoRR abs/1904.09149 (2019) - [i15]Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan:
Towards Flops-constrained Face Recognition. CoRR abs/1909.00632 (2019) - [i14]Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning Motion Priors for Efficient Video Object Detection. CoRR abs/1911.05253 (2019) - 2018
- [j3]Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang:
Crafting GBD-Net for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2109-2123 (2018) - [c9]Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai:
Region-Based Quality Estimation Network for Large-Scale Person Re-Identification. AAAI 2018: 7347-7354 - [c8]Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Exploring Disentangled Feature Representation Beyond Face Identification. CVPR 2018: 2080-2089 - [c7]Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng:
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy. CVPR 2018: 7756-7764 - [c6]Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang:
Transductive Centroid Projection for Semi-supervised Large-Scale Recognition. ECCV (5) 2018: 72-89 - [i13]Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Exploring Disentangled Feature Representation Beyond Face Identification. CoRR abs/1804.03487 (2018) - [i12]Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng:
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy. CoRR abs/1804.05197 (2018) - [i11]Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang:
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. CoRR abs/1807.07860 (2018) - 2017
- [c5]Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Scale-Aware Face Detection. CVPR 2017: 1913-1922 - [c4]Yu Liu, Junjie Yan, Wanli Ouyang:
Quality Aware Network for Set to Set Recognition. CVPR 2017: 4694-4703 - [c3]Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang:
Recurrent Scale Approximation for Object Detection in CNN. ICCV 2017: 571-579 - [c2]Hongyang Li, Yu Liu, Xin Zhang, Zhecheng An, Jingjing Wang, Yibo Chen, Jihong Tong:
Do we really need more training data for object localization. ICIP 2017: 775-779 - [i10]Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang:
Zoom Out-and-In Network with Recursive Training for Object Proposal. CoRR abs/1702.05711 (2017) - [i9]Yu Liu, Hongyang Li, Xiaogang Wang:
Learning Deep Features via Congenerous Cosine Loss for Person Recognition. CoRR abs/1702.06890 (2017) - [i8]Yu Liu, Junjie Yan, Wanli Ouyang:
Quality Aware Network for Set to Set Recognition. CoRR abs/1704.03373 (2017) - [i7]Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Scale-Aware Face Detection. CoRR abs/1706.09876 (2017) - [i6]Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang:
Recurrent Scale Approximation for Object Detection in CNN. CoRR abs/1707.09531 (2017) - [i5]Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang:
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection. CoRR abs/1709.04347 (2017) - [i4]Yu Liu, Hongyang Li, Xiaogang Wang:
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition. CoRR abs/1710.00870 (2017) - [i3]Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai:
Region-based Quality Estimation Network for Large-scale Person Re-identification. CoRR abs/1711.08766 (2017) - 2016
- [j2]Biao Leng, Yu Liu, Kai Yu, Songting Xu, Ziqing Yuan, Jingyan Qin:
Cascade shallow CNN structure for face verification and identification. Neurocomputing 215: 232-240 (2016) - [j1]Biao Leng, Yu Liu, Kai Yu, Xiangyang Zhang, Zhang Xiong:
3D object understanding with 3D Convolutional Neural Networks. Inf. Sci. 366: 188-201 (2016) - [c1]Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan:
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. ECCV Workshops (2) 2016: 36-42 - [i2]Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang:
Crafting GBD-Net for Object Detection. CoRR abs/1610.02579 (2016) - [i1]Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan:
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. CoRR abs/1610.06136 (2016)
Coauthor Index
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