Zhe Liu

I am currently a postdoctoral researcher at the Department of Computer Science of The University of Hong Kong under the supervision of Prof. Hengshuang Zhao. Before that, I have obtained my Ph.D. from Huazhong University of Science and Technology (HUST), where I was supervised by Prof. Xiang Bai.

My research focuses on 3D Perception in Autonomous Driving, including 3D Object Detection, 3D Multi-object Tracking, Multi-modal Representation Learning, and 3D Point Cloud Analysis. Looking forward, my research interests will center on 3D Perception, Embodied AI, 4D Multimodal Large Language Models (4D MLLM), and 4D World Models.

Email / CV / Google Scholar / Github

News!!!

Sep 2024: LION is accepted as NeurIPS 2024!

Jul 2024: We release LION, a new Linear RNN-based framework for 3D object detection in Point Clouds.

Jul 2024: Two papers (SEED, OPEN) are accepted by ECCV 2024!

Sep 2023: QTNet is accepted by NeurIPS 2023!

Nov 2022: StereoDistill is accepted by AAAI 2023!

Dec 2022: EPNet++ is accepted by T-PAMI 2022!

Jul 2020: EPNet is accepted by ECCV 2020!

Nov 2019: TANet is accepted by AAAI 2020 as an Oral presentation!

Publications

(*: Co-author, +: Corresponding Author )

	LION: Linear Group RNN for 3D Object Detection in Point Clouds Zhe Liu, Jinghua Hou, Xingyu Wang, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai NeurIPS, 2024 paper / code
	SEED: A Simple and Effective 3D DETR in Point Clouds Zhe Liu, Jinghua Hou, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai ECCV, 2024 paper / code
	OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection Jinghua Hou, Tong Wang, Xiaoqing Ye, Zhe Liu, Shi Gong, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai ECCV, 2024 paper / code
	Query-based Temporal Fusion with Explicit Motion for 3D Object Detection Jinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai NeurIPS, 2023 paper / code
	A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai ICCV*, 2023 paper
	Multi-Modal 3D Object Detection by Box Matching Zhe Liu, Xiaoqing Ye, Zhikang Zou, Xinwei He, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai arXiv, 2023 paper / code
	DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection Jingyu Li, Zhe Liu, Jinghua Hou, Dingkang Liang ICRA, 2023 paper / code
	StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai AAAI, 2023 paper
	EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai T-PAMI, 2022 paper / code
	EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai ECCV, 2020 paper / code
	TANet: Robust 3D Object Detection from Point Clouds with Triple Attention Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai AAAI, 2020, Oral paper / code
	3D object detection using scale invariant and feature reweighting networks Xin Zhao, Zhe Liu+, Ruolan Hu, Kaiqi Huang AAAI, 2019, Highlight paper

Activities

Reviewer: CVPR, ICCV, ECCV, ICLR, AAAI, IJCAI, NeurIPS, T-PAMI, TIP, TITS, TCSVT, SCIS, RAL, ICRA.

Design and source code from Jon Barron's website