Director of R&D, SenseTime
jiangqhmail@gmail.com
Google Scholar / 知乎
Currently, I am leading the End-to-end autonomous driving R&D team at SenseAuto(绝影). Previously, I also took charge of the R&D team for Perception, SLAM, Prediction and Algorithm Engineering. Concurrently, I served as the technical lead for the mass production projects with GAC (广汽) and FAW (一汽).
My primary R&D interests are centered around computer vision and its applications in robotics, such as autonomous driving. My ultimate goal is to create AI-enhanced products that offer tangible benefits to people’s daily lives. I am currently penning a Tech Column on 知乎, sharing my perspectives on autonomous driving and AI. Feel free to reach out for a discussion.
I got my M.S. degree in the State Key Lab of CAD&CG, Zhejiang University in 2018, supervised by Prof. Guofeng Zhang. Before that, I received the B.S. degree of Digital Media Technology in Zhejiang University.
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao
ICLR 2023.
Towards Model Generalization for Monocular 3D Object Detection
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, and Junjun Jiang
ECCV 2022.
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao
ECCV 2022.
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinghong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao
IJCAI 2022.
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao
ACM MM 2022.
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao
AAAI 2022.
Shape Prior Guided Instance Disparity Estimation for 3D Object Detection
Linghao Chen, Jiaming Sun, Yiming Xie, Siyu Zhang, Qing Shuai, Qinhong Jiang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou
TPAMI 2021.
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang
CVPR 2021.
Multimodal Motion Prediction with Stacked Transformers
Yicheng Liu*, Jinghuai Zhang*, Liangji Fang, Qinhong Jiang, Bolei Zhou
CVPR 2021.
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction
Chaofan Tao, Qinhong Jiang, Lixin Duan, Luo Ping
ECCV 2020.
TPNet: Trajectory Proposal Network for Motion Prediction
Liangji Fang*, Qinhong Jiang*, Jianping Shi, Bolei Zhou (* equal contribution)
CVPR 2020.
Recursive Social Behavior Graph for Trajectory Prediction
Jianhua Sun, Qinhong Jiang, Cewu Lu
CVPR 2020.
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, Hujun Bao
CVPR 2020.