3D Object Detection Using Scale Invariant and Feature Reweighting Networks. - Xin Zhao 012; Zhe Liu 033; Ruolan Hu; Kaiqi Huang (AAAI, 2019)

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention. - Zhe Liu 033; Xin Zhao 012; Tengteng Huang; Ruolan Hu; Yu Zhou 016; Xiang Bai (AAAI, 2020)

EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection. - Tengteng Huang; Zhe Liu 033; Xiwu Chen; Xiang Bai (ECCV (15), 2020)

PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis. - Silin Cheng; Xiwu Chen; Xinwei He 001; Zhe Liu 033; Xiang Bai (IEEE Trans. Image Process., 2021)

SparseDet: Towards End-to-End 3D Object Detection. - Jianhong Han; Zhaoyi Wan; Zhe Liu 033; Jie Feng 001; Bingfeng Zhou (VISIGRAPP (4: VISAPP), 2022)

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection. - Zhe Liu 033; Xiaoqing Ye; Xiao Tan 001; Errui Ding; Xiang Bai (AAAI, 2023)

A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection. - Dingyuan Zhang; Dingkang Liang; Zhikang Zou; Jingyu Li; Xiaoqing Ye; Zhe Liu 033; Xiao Tan 001; Xiang Bai (ICCV, 2023)

DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection. - Jingyu Li; Zhe Liu 033; Jinghua Hou; Dingkang Liang (ICRA, 2023)

Query-based Temporal Fusion with Explicit Motion for 3D Object Detection. - Jinghua Hou; Zhe Liu 033; Dingkang Liang; Zhikang Zou; Xiaoqing Ye; Xiang Bai (NeurIPS, 2023)

Diffusion-Based 3D Object Detection with Random Boxes. - Xin Zhou 013; Jinghua Hou; Tingting Yao; Dingkang Liang; Zhe Liu 033; Zhikang Zou; Xiaoqing Ye; Jianwei Cheng; Xiang Bai (PRCV (2), 2023)

EPNet++: Cascade Bi-Directional Fusion for Multi-Modal 3D Object Detection. - Zhe Liu 033; Tengteng Huang; Bingling Li; Xiwu Chen; Xi Wang; Xiang Bai (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

You Only Look Bottom-Up for Monocular 3D Object Detection. - Kaixin Xiong; Dingyuan Zhang; Dingkang Liang; Zhe Liu 033; Hongcheng Yang; Wondimu Dikubab; Jianwei Cheng; Xiang Bai (IEEE Robotics Autom. Lett., 2023)

OPEN: Object-Wise Position Embedding for Multi-view 3D Object Detection. - Jinghua Hou; Tong Wang; Xiaoqing Ye; Zhe Liu 033; Shi Gong; Xiao Tan 001; Errui Ding; Jingdong Wang 001; Xiang Bai (ECCV (26), 2024)

SEED: A Simple and Effective 3D DETR in Point Clouds. - Zhe Liu 033; Jinghua Hou; Xiaoqing Ye; Tong Wang; Jingdong Wang 001; Xiang Bai (ECCV (11), 2024)

LION: Linear Group RNN for 3D Object Detection in Point Clouds. - Zhe Liu 033; Jinghua Hou; Xinyu Wang 024; Xiaoqing Ye; Jingdong Wang 001; Hengshuang Zhao; Xiang Bai (NeurIPS, 2024)

SAM3D: zero-shot 3D object detection via the segment anything model. - Dingyuan Zhang; Dingkang Liang; Hongcheng Yang; Zhikang Zou; Xiaoqing Ye; Zhe Liu 033; Xiang Bai (Sci. China Inf. Sci., 2024)

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Point Cloud Analysis. - Hongcheng Yang; Dingkang Liang; Dingyuan Zhang; Xingyu Jiang; Zhe Liu 033; Zhikang Zou; Yingying Zhu 005 (CoRR, 2024)

Multi-Modal 3D Object Detection by Box Matching. - Zhe Liu 033; Xiaoqing Ye; Zhikang Zou; Xinwei He 001; Xiao Tan 001; Errui Ding; Jingdong Wang 001; Xiang Bai (IEEE Trans. Intell. Transp. Syst., 2024)

AVS-Net: Point sampling with adaptive voxel size for 3D scene understanding. - Hongcheng Yang; Dingkang Liang; Dingyuan Zhang; Zhe Liu 033; Zhikang Zou; Xingyu Jiang; Yingying Zhu 005 (Neurocomputing, 2025)

An Empirical Study of Ground Segmentation for 3-D Object Detection. - Hongcheng Yang; Dingkang Liang; Zhe Liu 033; Jingyu Li; Zhikang Zou; Xiaoqing Ye; Xiang Bai (IEEE Trans. Intell. Transp. Syst., 2025)

Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval. - Zhichuan Wang; Yang Zhou 007; Zhe Liu 033; Rui Yu 002; Song Bai 001; Yulong Wang 002; Xinwei He 001; Xiang Bai (CoRR, 2025)