Zeming Li

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I worked as a Director of AI(R&D) Team in ByteDance Pico.

Previously, I worked as a Director of Base-Detection team in Megvii Research under the supervision of Dr. Sun Jian.

I got my M.E. from THU in 2018. My research interests focus on the computer vision and artificial intelligence, specifically on the topic of object detection(2D/3D), pose estimation(2D/3D), unsupervised/semi-supervised learning, and efficient neural-network design. I am also interested and experienced in AIOps.

I served as a conference reviewer for NeurIPS, AAAI, ICLR, CVPR, ICML, ICCV, ECCV. etc. Journal Reviewer for TPAMI, IJCV, TIP, etc.

news

Feb 28, 2023 One paper is accepted by ICLR2023.
Nov 23, 2022 Three papers are accepted by AAAI2023.
Oct 1, 2022 One paper is accepted by NeurIPS2022.
Jul 1, 2022 One paper is accepted by ECCV2022.
Apr 1, 2022 Our camera-based 3D object detection, namely Bev-Depth, has achieved leading performances on the challenging nuScenes detection leaderboard. :sparkles:
Mar 1, 2022 Two papers (including on Oral Presentation) are accepted by CVPR2022. :sparkles:
Oct 1, 2021 One paper is accepted by NeurIPS2021.
Jul 1, 2021 We release a high-performance and anchor-free YOLO(YOLOX) ,with many devices supported. :sparkles:
Mar 1, 2021 Six papers (including one Oral Presentation) are accepted by CVPR2021. :sparkles:
Oct 1, 2020 Two papers are accepted by NeurIPS2020.
Jul 1, 2020 One paper is accepted by ECCV2020 as an Oral Presentation.
Jul 1, 2020 One paper is accepted by CVPR2020 as an Oral Presentation.

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