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.
🔥 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
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
SEED: A Simple and Effective 3D DETR in Point Clouds
SEED: A Simple and Effective 3D DETR in Point Clouds
Zhe Liu*, Jinghua Hou*, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
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
Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
Jinghua Hou*, Zhe Liu*, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai
A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection
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
Multi-Modal 3D Object Detection by Box Matching
Multi-Modal 3D Object Detection by Box Matching
Zhe Liu, Xiaoqing Ye, Zhikang Zou, Xinwei He, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection
Jingyu Li*, Zhe Liu*, Jinghua Hou, Dingkang Liang
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection
Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
Tengteng Huang*, Zhe Liu*, Xiwu Chen, Xiang Bai
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai
3D object detection using scale invariant and feature reweighting networks
3D object detection using scale invariant and feature reweighting networks
Xin Zhao, Zhe Liu+, Ruolan Hu, Kaiqi Huang
🎖 Professional Service
- Reviewer: CVPR, ICCV, ECCV, ICLR, AAAI, IJCAI, NeurIPS, T-PAMI, TIP, TITS, TCSVT, SCIS, RAL, ICRA.
📖 Contact
- Email: zheliu12@hku.hk
- CV: Download CV
- Google Scholar: Profile
- GitHub: happinesslz