Biography[CV]
I am a full professor at Wuhan University and serve as AI Director at Insta360 (Wuhan University & Insta360 Joint Lab), specializing in computer vision and robotics. Before that, I was a senior research scientist on the video generation team at Bytedance. And I spent wonderful years as a research scholar at the EECS Department of UC Merced, advised by Prof. Ming-Hsuan Yang. I finished my Ph.D. and M.E. degrees at The Chinese University of Hong Kong (supervised by Prof. Jiaya Jia) and the Institute of Automation of The Chinese Academy of Sciences (supervised by Prof. Hong Qiao). I obtained a B.E. degree in Automation and a B.S. dual degree in Financial Mathematics from Shandong University in 2014.
I am an associate editor (AE) of TPAMI and area chair of many top conferences, such as CVPR2026, ICCV2025, ICML2025, NeurlPS2024/2025, ICLR2024/2025, and AAAI2023/2024/2025/2026. My research interests cover the unified model of low-level vision, generation, and open-world recognition.
I am looking for Master's, PhD, and Postdoctoral candidates to join Wuhan University in 2025.
I am recruiting self-motivated full-time researchers, developers, engineers, and interns in computer vision and robotics at Insta360, including Shanghai, Shenzhen and Hongkong base. If you are interested, please directly send your CV to my email.
- One Flight Over the Gap: A Survey from Perspective to Panoramic Vision
Xin Lin, Xian Ge, Dizhe Zhang, Zhaoliang Wan, Xianshun Wang, Xiangtai Li, Wenjie Jiang, Bo Du, Dacheng Tao, Ming-Hsuan Yang, Lu Qi.
Arxiv, 2025
- AirSim360: A Panoramic Simulation Platform within Drone View
Xian Ge, Yuling Pan, Yuhang Zhang, Xiang Li, Weijun Zhang, Dizhe Zhang, Zhaoliang Wan, Xin Lin, Xiangkai Zhang, Juntao Liang, Xiangtai Li, Wenjie Jiang, Bo Du, Ming-Hsuan Yang, Lu Qi.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2026
- Depth Any Panoramas: A Foundation Model for Panoramic Depth Estimation
Xin Lin, Meixi Song, Dizhe Zhang, Wenxuan Lu, Haodong Li, Bo Du, Ming-Hsuan Yang, Truong Nguyen, Lu Qi.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2026
- DiT360: High-Fidelity Panoramic Image Generation via Hybrid Training
Haoran Feng, Dizhe Zhang, Xiangtai Li, Bo Du, Lu Qi.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2026
- D2GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View Reconstruction
Meixi Song, Xin Lin, Dizhe Zhang, Haodong Li, Xiangtai Li, Bo Du, Lu Qi.
The Fourteenth International Conference on Learning Representations, (ICLR), 2026
- UniGS: Unified Representation for Image Generation and Segmentation
Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2024
- AIMS: All-Inclusive Multi-Level Segmentation for Anything
Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang.
Thirty-seven Conference on Neural Information Processing Systems, (NeurIPS Spotlight), 2023.
- High-Quality Entity Segmentation
Lu Qi, Jason Kuen, Tiancheng Shen, Weidong Guo, Jiuxiang Gu, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang.
International Conference on Computer Vision, (ICCV Oral), 2023
- CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia.
17th European Conference on Computer Vision, (ECCV), 2022
- Open-World Entity Segmentation
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip Torr, Zhe Lin, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2022
- PointINS: Point-based Instance Segmentation
Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2021
- Multi-Scale Aligned Distillation for Low-Resolution Detection
Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2021
- Amodal Instance Segmentation through KINS Dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2019
- Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi, Jiaya Jia.
Thirty-second Conference on Neural Information Processing Systems, (NeurIPS), 2018.
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Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2018 (Spotlight Presentation)
Ranked No. 1 of COCO 2017 Detection Challenge in Instance Segmentation Track
Ranked No. 2 of COCO 2017 Detection Challenge in Object Detection Track
Ranked No. 1 of 2018 Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments Instance Segmentation Track
- MAT: Mask-Aware Transformer for Large Hole Image Inpainting
Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia.
IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2022
Best Paper Finalist
Competitions
Professional Activities
- Program Committees:
Associate Editor (AE) for TPAMI.
Area Chair for CVPR 2026.
Area Chair for AAAI 2026.
Area Chair for ICCV 2025.
Area Chair for ICML 2025.
Area Chair for WACV 2025.
Area Chair for NeurlPS 2024/2025.
Area Chair for ICLR 2024/2025/2026.
Senior Program Committee Member for AAAI 2023/2024/2025.
- Conference Review:
International Conference on Computer Vision and Pattern Recognition (CVPR).
International Conference on Computer Vision (ICCV).
European Conference on Computer Vision (ECCV)
Neural Information Systems Processing Conference (NeurIPS)
Internation Conference on Learning Representations (ICLR).
AAAI Conference on Artificial Intelligence (AAAI).
- Journal Review:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
International Journal of Computer Vision (IJCV).
IEEE Transaction on Image Processing (TIP).
IEEE Robotics and Automation Letters (RAL).
Honors & Awards
| Hong Kong Ph.D. Fellowship (231 candidates in Hong Kong) | 2017-2021 |
| The President Scholarship of Shandong University (highest honor) | 2013 |
| Baogang Steel Scholarship (top 0.5%) | 2013 |
| Excellent Student in Shandong Province | 2013 |
| National Scholarship (thrice) | 2011-2013 |
Research Experiences
Teaching
| CSCI1120 Introduction to C++ | Fall | 2019-2020 |
| CSCI2100B Data Structure | Spring | 2018-2019 |
| ENGG1100 Introduction to Engineering Design | Fall | 2018-2019 |
| CSCI3120 Compile Construction | Spring | 2017-2018 |