Zhiqi Li (李志琦)
Affiliation: CS Department, Nanjing University
Email: lzq[at]smail.nju.edu.cn

About Me ([GitHub] [Google Scholar]

I am a Ph.D. candidate at Nanjing University, supervised by Prof.Tong Lu. Previously, I obtained the bachelor degree from Department of Computer Science and Technology, Nanjing University (NJU) in 2020.

Currently, I am mainly working on developing vision-centric perception methods for autonomous driving. I developed the well-known BEVFormer and won the champoins of Waymo 3D Camera-Only Detection Challenge on CVPR2022 and Occupancy Prediction Challenge on CVPR2023.

I am actively seeking research opportunities in the industry or postdoctoral positions in academia for 2025.



Recent Works ([Full List])

(* Equal contribution, # Corresponding authors)
FB-BEV: BEV Representation from Forward-Backward View Transformations
Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, Jose M. Alvarez
ICCV, 2023
[Paper] [Code] [BibTex]
Forward-Backward View Transformation
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang*, Jifeng Dai*, Zhe Chen*†, Zhenhang Huang* Zhiqi Li*†, Xizhou Zhu*, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao#
CVPR, 2023 (Highlight Paper (2.5%))
[Paper] [Code]
[CVPR 2023' Top-10 Influential Papers]
A strong large-scale CNN-based fondamention model.
BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Zhiqi Li*†, Wenhai Wang*, Hongyang Li*, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai#
ECCV, 2022
[Paper] [Code] [BibTex]
[ECCV 2022' Top-10 Influential Papers]
[100 Most Cited AI Papers in 2022]
A versatile camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers
Zhiqi Li, Wenhai Wang#, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Tong Lu#, Ping Luo
CVPR, 2022
[Paper] [Code] [BibTex]
A unified segmentation framework.

Technical Report

FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, Jose M. Alvarez

[Paper] [Code] [BibTex]
Best Champion of CVPR2023 Occupancy Prediction Challenge.

Honors and Awards

Review Services

Journal Reviewer
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)

Program Committee Member/Conference Reviewer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2024
Neural Information Processing Systems (NeurIPS), 2023
IEEE International Conference on Computer Vision (ICCV), 2023
AAAI Conference on Artificial Intelligence (AAAI), 2023, 2024
ICLR, 2023


Zhe Chen, Guo Chen