Yu Liu
News
Job positions and PhD program are open for talents interested in AIGC, super HUGE model for NLP and CV and Game AI.
[2023] Our OpenDILab achieves 10,000+ stars on GitHub!
[2023] My team have 4 papers published on ICLR/AAAI in 2023
[2023] My team won the championship of CARLA Autonomous Driving Challenge
[2022] My team have 9 papers published on ECCV/CoRL/NeurIPS/AAAI in 2022
[2022] We release DI-Star, an implementation of AlphaStar in pyTorch, beating pro players with 6000+ MMR.
[2021] My team won the best paper of ICCV21 MFR workshop
[2021] My team won 3 championships of ICCV21 The Masked Face Recognition Challenge
[2021] We release OpenDILab, an open source decision intelligence platform
[2020] 5 papers with 1 oral got published on CVPR/ECCV 2020
[2020] My team won 2 championships of ActivityNet on the Spatio-temporal Action Localization (AVA) track and the Trimmed Activity Recognition (Kinetics) track
[2020] My team won the championship of NIST FRVT 1:N, a 12-million-level commercial facial recognition benchmark held by US government.
[2019] 7 papers with 4 oral presentations published on ICCV/CVPR/AAAI in 2019
[2019] I won 4 champions in 4 ICCV AI challenges:MMIT (solutions), OpenImage Instance Segmentation Challenge (solutions), OpenImage Object Detection Challenge (solutions), LFR 2019 (model and report)
[2019] I was granted the Google PhD Fellowship 2019.
[2018] 4 papers published by CVPR/ECCV/IJCV/AAAI in 2018.
[2017] 6 papers published on CVPR/ICCV/NIPS/AAAI/T-PAMI in 2017.
[2016] We win the 1st place in ECCV-MOT16 Challenge! code
[2016] We win the 1st place in ImageNet Challenge 2016! code
About me
I am currently a general manager and senior director in SenseTime Group. Previously I obtain my PhD from MMLab, CUHK, supervised by Prof. Xiaogang Wang.
When I was young, I devoted myself to various cutting-edge AI research problems and published dozens of papers in top-tier conferences. However, with a deeper understanding of technology, I am now more focused on tackling problems that can truly advance the field and make AI serve all of humanity. Therefore, since 2020, I have not been concerned with the quantity of "research papers", and have instead formed a team of over 100 researchers and product developers. With over 4,000 GPUs at our disposal, we are committed to creating top-notch technology and ChatGPT-like products based on super HUGE NLP and CV models that can serve the public. Contact me if you are interested.
Working Experience
Publications
The quantity of publications means nothing. I'm tired of making publication since 2020.
See full list at Google Scholar.
*equal contribition +corresponding author
ReasonNet: End-to-End Driving with Temporal and Global Reasoning
Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu+
(CARLA 2022 Champion) 2023 CVPR
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu+, Hongsheng Li
2023 CVPR
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation, Project, Challenge
Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu+
2023 ICLR
Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu+, Wanli Ouyang
2023 AAAI
Large-batch Optimization for Dense Visual Predictions, Code
Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu+, Ping Luo+
2022 NeurIPS
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu+
2022 CoRL
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li+, Yu Liu+
2022 ECCV
Self-slimmed Vision Transformer
Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu+
2022 ECCV
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers
Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li+, Yu Liu+
2022 ECCV
Unifying Visual Perception by Dispersible Points Learning
Jianming Liang, Guanglu Song, Biao Leng, Yu Liu+
2022 ECCV
Towards Robust Face Recognition with Comprehensive Search
Manyuan Zhang, Guanglu Song, Yu Liu+, Hongsheng Li
2022 ECCV
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces
Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu+
2022 ECCV
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning, Code
Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao
2022 ICLR
Switchable K-class Hyperplanes for Noise-robust Representation Learning
Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu+
2021 ICCV
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li
2021 CVPR
Discriminability Distillation in Group Representation Learning
Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu+
2020 ECCV
Learning Where to Focus for Efficient Video Object Detection
Zhengkai Jiang, Yu Liu+, Ceyuan Yang, Jihao Liu, Gao Peng, Qian Zhang, Shiming Xiang, Chunhong Pan
2020 ECCV
Search to Distill: Pearls are Everywhere but not the Eyes
Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
(Oral) 2020 CVPR
Revisiting the Sibling Head in Object Detector
Guanglu Song, Yu Liu+, Xiaogang Wang
(OpenImage 2019 Champion) 2020 CVPR
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu+, Xiaogang Wang
2020 CVPR
KPNet: Towards Minimal Face Detector
Guanglu Song, Yu Liu+, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
(Oral) 2020 AAAI
Temporal Interlacing Network
Hao Shao, Shengju Qian, Yu Liu+
2020 AAAI
Differentiable Kernel Evolution
Yu Liu, Jihao Liu, Ailing Zeng, Xiaogang Wang
2019 IEEE ICCV
Towards Flops-constrained Face Recognition, Code
Yu Liu*, Guanglu Song*, Manyuan Zhang*, Jihao Liu*, Yucong Zhou, Junjie Yan
(Top-1 Solution) 2019 ICCV Lightweight Face Recognition Challenge & Workshop
Gradient Harmonized Single-stage Detector,Code
Buyu Li*, Yu Liu*, Xiaogang Wang
(Oral) 2019 AAAI
Conditional Adversarial Generative Flow for Controllable Image Synthesis
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
2019 CVPR
Exploring Disentangled Feature Representation Beyond Face Identification
Yu Liu, Fangyin Wei, Jing Shao, Lv Sheng, Junjie Yan, Xiaogang Wang
2018 CVPR
Transductive Centroid Projection for Semi-supervised Large-scale Recognition
Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang
2018 ECCV
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Yu Liu, Hongyang Li, Xiaogang Wang
2017 NIPS deep learning workshop
Recurrent Scale Approximation for Object Detection in CNN, Code
Yu Liu, Hongyang Li, Junjie Yan et al.
2017 IEEE ICCV
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
Guanglu Song*, Yu Liu*, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng
2018 CVPR
Quality Aware Network for Set to Set Recognition, Code
Yu Liu, Junjie Yan, Wanli Ouyang
2017 CVPR
Knowledge Distillation via Route Constrained Optimization
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
(Oral) 2019 IEEE ICCV
Correlation Congruence for Knowledge Distillation
Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang
2019 IEEE ICCV
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation, Code
Hang Zhou, Yu Liu, Ziwei Liu, Ping Luo, Xiaogang Wang
(Oral) 2019 AAAI
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection, Code
Hongyang Li, Yu Liu, W Ouyang, X Wang
2018 IJCV
Region-based Quality Estimation Network for Large-Scale Person Re-identification
Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
2018 AAAI
Learning Deep Features via Congenerous Cosine Loss for Person Recognition, Code
Yu Liu, Hongyang Li, Xiaogang Wang
arxiv:1702.06890, 2017
Scale-Aware Face Detection
Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan
2017 CVPR
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature
F Yu, W Li, Q Li, Y Liu, X Shi, J Yan
(Top-1 Solution) 2016 ECCV workshop
Crafting GBD-Net for Object Detection
X Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ...
T-PAMI
3D object understanding with 3D Convolutional Neural Networks
B Leng, Y Liu, K Yu, X Zhang, Z Xiong
Information Sciences 366, 188-201, 2016
Projects & Datasets
GitHub
OpenDILab, a generalized Decision Intelligence engine.
X-Temporal, Easily implement SOTA video understanding methods with PyTorch on multiple machines and GPUs
CaffeMex v2.3, a multi-GPU & memory-reduced MAT-Caffe on LINUX and WINDOWS
Labeled Pedestrains in the Wild ,a large scale pedestrain re-identification benchmark
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