Yu Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 99

Top Topics

Face Recognition

Object Detection

Image Synthesis

Top Venues

Publications

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 (2024)
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 (2024)
Yuan Pu, Yazhe Niu, Jiyuan Ren, Zhenjie Yang, Hongsheng Li, Yu Liu
UniZero: Generalized and Efficient Planning with Scalable Latent World Models. CoRR (2024)
Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li
Enhancing Vision-Language Model with Unmasked Token Alignment. CoRR (2024)
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 (2024)
Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao
Critic-Guided Decision Transformer for Offline Reinforcement Learning. AAAI (2024)
Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models. CoRR (2024)
Jihao Liu, Jinliang Zheng, Boxiao Liu, Yu Liu, Hongsheng Li
Enhancing Vision-Language Model with Unmasked Token Alignment. Trans. Mach. Learn. Res. 2024 (2024)
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)
Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. CoRR (2024)
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 (2024)
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 (2024)
Jihao Liu, Jinliang Zheng, Yu Liu, Hongsheng Li
GLID: Pre-training a Generalist Encoder-Decoder Vision Model. CoRR (2024)
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 (2024)
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 (2023)
Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. ICCV (2023)
Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu
ReasonNet: End-to-End Driving with Temporal and Global Reasoning. CoRR (2023)
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)
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)
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 (2023)
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. CoRR (2023)
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 (2023)
Manyuan Zhang, Bingqi Ma, Guanglu Song, Yunxiao Wang, Hongsheng Li, Yu Liu
Towards Large-scale Masked Face Recognition. CoRR (2023)
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)
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. ICCV (2023)
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)
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) (2023)
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)
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) (2023)
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 (2023)
Zhuofan Zong, Guanglu Song, Yu Liu
DETRs with Collaborative Hybrid Assignments Training. ICCV (2023)
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
Large-batch Optimization for Dense Visual Predictions. CoRR (2022)
Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. CoRL (2022)
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 (2022)
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 (2022)
Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces. CoRR (2022)
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
Unifying Visual Perception by Dispersible Points Learning. ECCV (9) (2022)
Zhuofan Zong, Guanglu Song, Yu Liu
DETRs with Collaborative Hybrid Assignments Training. CoRR (2022)
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
Unifying Visual Perception by Dispersible Points Learning. CoRR (2022)
Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. CoRR (2022)
Jihao Liu, Boxiao Liu, Hongsheng Li, Yu Liu
Meta Knowledge Distillation. CoRR (2022)
Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu
Rethinking Robust Representation Learning Under Fine-Grained Noisy Faces. ECCV (12) (2022)
Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers. CoRR (2022)
Jihao Liu, Xin Huang, Guanglu Song, Yu Liu, Hongsheng Li
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. CoRR (2022)
Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu
Self-slimmed Vision Transformer. ECCV (11) (2022)
Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers. ECCV (26) (2022)
Jihao Liu, Xin Huang, Yu Liu, Hongsheng Li
MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning. CoRR (2022)
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
Towards Robust Face Recognition with Comprehensive Search. CoRR (2022)
Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
Towards Robust Face Recognition with Comprehensive Search. ECCV (12) (2022)
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)
Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP. ECCV (21) (2022)
Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu
Switchable K-class Hyperplanes for Noise-Robust Representation Learning. ICCV (2021)
Jihao Liu, Ming Zhang, Yangting Sun, Boxiao Liu, Guanglu Song, Yu Liu, Hongsheng Li
FNAS: Uncertainty-Aware Fast Neural Architecture Search. CoRR (2021)
Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
Discriminability Distillation in Group Representation Learning. ECCV (10) (2020)
Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
Discriminability Distillation in Group Representation Learning. CoRR (2020)
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 (2020)
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. CVPR (2020)
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 (2020)
Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan
Top-1 Solution of Multi-Moments in Time Challenge 2019. CoRR (2020)
Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
KPNet: Towards Minimal Face Detector. CoRR (2020)
Guanglu Song, Yu Liu, Xiaogang Wang
Revisiting the Sibling Head in Object Detector. CoRR (2020)
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 (2020)
Guanglu Song, Yu Liu, Xiaogang Wang
Revisiting the Sibling Head in Object Detector. CVPR (2020)
Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
KPNet: Towards Minimal Face Detector. AAAI (2020)
Buyu Li, Yu Liu, Xiaogang Wang
Gradient Harmonized Single-Stage Detector. AAAI (2019)
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
Conditional Adversarial Generative Flow for Controllable Image Synthesis. CVPR (2019)
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. AAAI (2019)
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) (2019)
Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu
Correlation Congruence for Knowledge Distillation. ICCV (2019)
Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan
Towards Flops-constrained Face Recognition. CoRR (2019)
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
Knowledge Distillation via Route Constrained Optimization. ICCV (2019)
Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan
Towards Flops-Constrained Face Recognition. ICCV Workshops (2019)
Xiaogang Wang, Xiyu Liu, Yu Liu
An incremental model transfer method for complex process fault diagnosis. IEEE CAA J. Autom. Sinica 6 (5) (2019)
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
Knowledge Distillation via Route Constrained Optimization. CoRR (2019)
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
Conditional Adversarial Generative Flow for Controllable Image Synthesis. CoRR (2019)
Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang
Correlation Congruence for Knowledge Distillation. CoRR (2019)
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) (2018)
Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
Exploring Disentangled Feature Representation Beyond Face Identification. CVPR (2018)
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)
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. CoRR (2018)
Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang
Transductive Centroid Projection for Semi-supervised Large-Scale Recognition. ECCV (5) (2018)
Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
Region-Based Quality Estimation Network for Large-Scale Person Re-Identification. AAAI (2018)
Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
Exploring Disentangled Feature Representation Beyond Face Identification. CoRR (2018)
Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy. CoRR (2018)
Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang
Recurrent Scale Approximation for Object Detection in CNN. ICCV (2017)
Yu Liu, Junjie Yan, Wanli Ouyang
Quality Aware Network for Set to Set Recognition. CVPR (2017)
Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
Scale-Aware Face Detection. CVPR (2017)
Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
Scale-Aware Face Detection. CoRR (2017)
Yu Liu, Hongyang Li, Xiaogang Wang
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition. CoRR (2017)
Yu Liu, Junjie Yan, Wanli Ouyang
Quality Aware Network for Set to Set Recognition. CoRR (2017)
Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection. CoRR (2017)
Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang
Zoom Out-and-In Network with Recursive Training for Object Proposal. CoRR (2017)
Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
Region-based Quality Estimation Network for Large-scale Person Re-identification. CoRR (2017)
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)
Yu Liu, Hongyang Li, Xiaogang Wang
Learning Deep Features via Congenerous Cosine Loss for Person Recognition. CoRR (2017)
Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang
Recurrent Scale Approximation for Object Detection in CNN. CoRR (2017)
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 (2016)
Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. CoRR (2016)
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)