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

  • [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
Google Scholar (>2100 citations), DBLP, ORCID.


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.

  • 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.


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.

  • 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.

  • 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

  • (2018) Rank 1 in COCO 2018 Challenge in Panoptic Segmentation Track

  • (2018) Rank 1 in Mapillary 2018 Challenge in 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

  • Mingkun Wang Peking University (2021~2022)

  • Yunshen Ni Tsinghua University (2021~2022)

  • Depu Meng USTC (2021~2022)

Sevices

  • 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, 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"

Honors

  • (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, 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