Changqian Yu's Home Page
About Me
Currently, I am a Research Expert at Meituan.
2019-2021, I was a Research Intern in Visual Computing Group @ Microsoft Research Asia, under the supervision of Dr. Jingdong Wang.
2019, I was a visiting Ph.D. student at the Australian Institute for Machine Learning of the University of Adelaide, under the supervision of Prof. Chunhua Shen.
2017-2019, I was a Research Intern at Megvii(Face++) Research, mentored by Dr. Gang Yu and supervised by Dr. Jian Sun.
2016-2021, I was a Ph.D. student at Huazhong University of Science and Technology, supervised by A.P. Changxin Gao and Prof. Nong Sang.
2012-2016, I was an undergraduate student at Shandong University.
Email address: y-changqian[at]outlook[dot]com
Other links: Google Scholar / GitHub / Zhihu / LinkedIn
Jobs/Intern Opening: Researcher/Engineer in Beijing China.
Research Interest
My primary research interests are computer vision and artificial intelligence, including the research topics:
Autonomous Driving: perception (especially detection and segmentation) and prediction
Image and Video Analysis: semantic/instance/panoptic segmentation, video object/instance/panoptic segmentation, detection
The ultimate goal is to utilize artificial intelligence techniques to make machines perceive, reason and understand the real world, and increase productivity for a better world.
News
[10/2023] Ranked as the World’s Top 2% most-cited scientists 2023 by Stanford University. [Link ]
[11/2022] Delighted to receive CSIG Excellent Doctoral Dissertation Award (中国图象图形学学会优秀博士学位论文奖)
[09/2022] 🔥 The IJCV Paper of BiSeNetV2 has been selected as the ESI Paper.
[08/2022] Bilibili Up "在下小苏" interview! See You Again~[Bilibili Video]
[05/2022] 🔥 The IJCV Paper of BiSeNetV2 has been selected as the ESI Hot Paper.
[10/2021] Bilibili Up "在下小苏" interview! [Bilibili Video]
[09/2021] Code released for CondNet. A simple and flexible conditional head for scene segmentation task. [paper ][code ]
[08/2021] One paper is accepted to IJCV2021!
[07/2021] One paper is accepted to ACMMM2021!
[06/2021] Successfully defended my Ph.D. thesis!
[04/2021] Code released for our CVPR 2021 paper, Lite-HRNet. [paper][code]
[03/2021] One paper is accepted to CVPR2021!
[07/2020] Two papers are accepted to ECCV2020!
[08/2020] The BiSeNet work is one of the most influential papers of ECCV 2018.
[03/2020] One paper is accepted to CVPR2020 in Seattle, Washington!
[10/2019] One paper is accepted to AAAI2020 in New York, New York!
[03/2019] One paper is accepted to CVPR2019 in Long Beach, California!
[01/2019] Semantic segmentation PyTorch codebase is available TorchSeg including the source codes of DFN and BiSeNet.
[09/2018] As a team member of Megvii(Face++) and R4D Team, we won the 1st place of COCO Panoptic Segmentation and Mapillary Panoptic Segmentation in the COCO & Mapillary Panoptic Segmentation Challenge 2018. I was invited to present at COCO & Mapillary Joint Workshop at ECCV2018 in Munich, Germany. [ChinaNews]
[07/2018] One paper is accepted to ECCV2018 in München, Germany!
[03/2018] One paper is accepted to CVPR2018 in Salt Lake City, Ultah State, USA!
Publications
* : Equal contribution; ✝: Corresponding author.
Google Scholar (>3700 citations), DBLP, ORCID.
2023
Conditional Boundary Loss for Semantic Segmentation
Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang
IEEE TIP.GANet: Goal Area Network for Motion Forecasting [arXiv]
Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang
ICRA, 2023.Hybrid Motion Representation Learning for Prediction from Raw Sensor Data [paper ]
Depu Meng, Changqian Yu✝, Jiajun Deng, Deheng Qian, Houqiang Li, Dongchun Ren
IEEE TMM.
2022
CORE: Consistent Representation Learning for Face Forgery Detection [arXiv ]
Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao
CVPR Workshop on Media Forensics (CVPR Workshop), 2022.
2021
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation [Paper ][arXiv][Code]
Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang.
International Journal of Computer Vision (IJCV).
[ESI Highly-cited Paper] [ESI Hot Paper][Google Scholar Citation>500]Lite-HRNet: A Lightweight High-Resolution Network [arXiv][Code]
Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang.
CVPR, 2021.CondNet: Conditional Classifier for Scene Segmentation [Paper][arXiv][Code]
Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang.
IEEE SPL.Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang.
ACM MM, 2021.Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing
Beibei Yang, Changqian Yu, Jin-gang Yu, Changxin Gao, Nong Sang.
IEEE TCybernetics.D2T: A Framework for Transferring Detection to Tracking
Huai Qin, Changqian Yu, Changxin Gao, Nong Sang.
Pattern Recognition (PR).
2020
Context Prior for Scene Segmentation [Paper][arXiv][Code]
Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang.
CVPR, 2020.Representative Graph Neural Network [Paper][arXiv][Code]
Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang.
ECCV, 2020.Efficient Semantic Video Segmentation with Per-frame Inference [Paper][arXiv][Code]
Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang.
ECCV, 2020.GTNet: Generative Transfer Network for Zero-Shot Object Detection [Paper][arXiv]
Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang.
AAAI, 2020.CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation [Paper]
Jiahui Liu, Changqian Yu, Beibei Yang, Changxin Gao, Nong Sang.
Neurocomputing.
2019
An End-to-End Network for Panoptic Segmentation [Paper][arXiv]
Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang.
CVPR, 2019.Graph-Based Scale-Aware Network for Human Parsing [Paper]
Beibei Yang, Changqian Yu, Jiahui Liu, Changxin Gao, Nong Sang.
PRCV, 2019.
2018
Learning a Discriminative Feature Network for Semantic Segmentation [Paper][arXiv][Code][ChinaNews]
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang.
CVPR, 2018.
[Google Scholar Citation>700]BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation [Paper][arXiv][Code][ChinaNews]
Changqian Yu*, Jingbo Wang*, Chao Peng, Changxin Gao, Gang Yu, Nong Sang.
ECCV, 2018.
[近五年谷歌引用量居ECCV论文第16名(16/3787)] [Google Scholar Citation>1700]Spatially Attentive Correlation Filters for Visual Tracking [Paper]
Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang.
ICIP, 2018.Center-Level Verification Model for Person Re-identification [Paper]
Ruochen Zheng, Yang Chen, Changqian Yu, Chuchu Han, Changxin Gao, Nong Sang.
PRCV, 2018.
Challenges
(2022) Rank 1 in GigaVision Challenge 2022 - Trajectory Prediction
(2022) Rank 3 in Argoverse Challenge 2022 - Motion Forecasting (Honorable Mention Prize)
(2018) Rank 1 in COCO Challenge 2018 - Panoptic Segmentation Track
(2018) Rank 1 in Mapillary Challenge 2018 - Panoptic Segmentation Track
(2018) Rank 5 in Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments
(2018) Rank 2 in Momenta Lane Detection Challenge
(2015) Rank 2 in National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction
(2014) Rank 1 in "RoboCup" Open Finals and China Robot Competition
(2014) Rank 2 in Shandong Province College Students "TI Cup" Electronic Design Competition
Interns and Students ever Working with Me
Yutong Xie Peking University (2022)
Wang Zhefan Tsinghua University (2022)
Mingkun Wang Peking University (2021~2022)
Yunshen Ni Tsinghua University (2021~2022)
Depu Meng USTC (2021~2022)
Honors
(2022) CSIG Excellent Doctoral Dissertation Award (中国图象图形学学会优秀博士学位论文奖)[全国优博]
(2021) Outstanding Graduate, Huazhong University of Science and Technology
(2021) Stars of Tomorrow Internship Program, Microsoft Research Asia
(2019) State Scholarship for Study Abroad(国家建设高水平大学公派研究生奖学金), China Scholarship Council of P.R. China
(2018) National Scholarship(国家奖学金), Ministry of Education of P.R. China
(2018) Short-term Study Abroad Scholarship for Postgraduates, Huazhong University of Science and Technology
(2018) Merit Student, Huazhong University of Science and Technology
(2019) "Hewang" Electric Excellence Scholarship, Huazhong University of Science and Technology
(2018) "Hewang" Electric Excellence Scholarship, Huazhong University of Science and Technology
(2017) Graduate Knowledge and Excellence Scholarship, Huazhong University of Science and Technology
(2014) Second Class Prize, National College Students Innovation and Entrepreneurship Training Program
(2014) Innovative Entrepreneurial Activities Advanced Individuals, Shandong University
(2014) Outstanding Student Cadre, Shandong University
(2014) Second Class Prize, Outstanding Students, Shandong University
Sevices
中国图象图形学报"图像/视频语义分割"专刊特邀编委
2022年清华大学计算机系专业实践课程企业指导教师
Regular reviewer for CVPR' 19-22, ICCV' 19-21, ECCV' 20-22, ICLR'22, NeurIPS'22, AAAI'20-21
Regular reviewer for TPAMI, IJCV, TIP, TMM, TGRS, PR, SPL
Talks
(06/2021) Zhejiang University Computer Animation & Perception Group (CAPG) Talk
Title: "Lite-HRNet: A Lightweight High-Resolution Network"(10/2020) Meituan Autonomous Delivery Group Talk
Title: "Beyond Self-Attention for Semantic Segmentation"(9/2020) Huawei Noah's Ark Lab Talk
Title: "Beyond Self-Attention for Semantic Segmentation"(05/2019) Microsoft Research Asia (MSRA) VC Group Talk
Title: "Context in Semantic Segmentation"(09/2018) ECCV2018 COCO & Mapillary Joint Workshop Talk
Title: "MSCOCO & Mapillary Panoptic Segmentation Challenge 2018"