Zhe Liu

According to our database, Zhe Liu authored at least 26 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FASTER: Rethinking Real-Time Flow VLAs.

Yuxiang Lu, Zhe Liu, Xianzhe Fan, Zhenya Yang, Jinghua Hou, Junyi Li, Kaixin Ding, Hengshuang Zhao

CoRR, March, 2026

2025

DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning.

Zhe Liu, Runhui Huang, Rui Yang, Siming Yan, Zining Wang, Lu Hou, Di Lin, Xiang Bai, Hengshuang Zhao

CoRR, December, 2025

GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation.

Zhenya Yang, Zhe Liu, Yuxiang Lu, Liping Hou, Chenxuan Miao, Siyi Peng, Bailan Feng, Xiang Bai, Hengshuang Zhao

CoRR, December, 2025

Visual Spatial Tuning.

Rui Yang, Ziyu Zhu, Yanwei Li, Jingjia Huang, Shen Yan, Siyuan Zhou, Zhe Liu, Xiangtai Li, Shuangye Li, Wenqian Wang, Yi Lin, Hengshuang Zhao

CoRR, November, 2025

UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs.

Zhe Liu, Jinghua Hou, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai

CoRR, November, 2025

An Empirical Study of Ground Segmentation for 3-D Object Detection.

Hongcheng Yang, Dingkang Liang, Zhe Liu, Jingyu Li, Zhikang Zou, Xiaoqing Ye, Xiang Bai

IEEE Trans. Intell. Transp. Syst., March, 2025

AVS-Net: Point sampling with adaptive voxel size for 3D scene understanding.

Hongcheng Yang, Dingkang Liang, Dingyuan Zhang, Zhe Liu, Zhikang Zou, Xingyu Jiang, Yingying Zhu

Neurocomputing, 2025

Describe, Adapt and Combine: Empowering CLIP Encoders for Open-Set 3D Object Retrieval.

Zhichuan Wang, Yang Zhou, Zhe Liu, Rui Yu, Song Bai, Yulong Wang, Xinwei He, Xiang Bai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Multi-Modal 3D Object Detection by Box Matching.

Zhe Liu, Xiaoqing Ye, Zhikang Zou, Xinwei He, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai

IEEE Trans. Intell. Transp. Syst., December, 2024

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Point Cloud Analysis.

Hongcheng Yang, Dingkang Liang, Dingyuan Zhang, Xingyu Jiang, Zhe Liu, Zhikang Zou, Yingying Zhu

CoRR, 2024

SAM3D: zero-shot 3D object detection via the segment anything model.

Dingyuan Zhang, Dingkang Liang, Hongcheng Yang, Zhikang Zou, Xiaoqing Ye, Zhe Liu, Xiang Bai

Sci. China Inf. Sci., 2024

LION: Linear Group RNN for 3D Object Detection in Point Clouds.

Zhe Liu, Jinghua Hou, Xinyu Wang, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SEED: A Simple and Effective 3D DETR in Point Clouds.

Zhe Liu, Jinghua Hou, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

You Only Look Bottom-Up for Monocular 3D Object Detection.

Kaixin Xiong, Dingyuan Zhang, Dingkang Liang, Zhe Liu, Hongcheng Yang, Wondimu Dikubab, Jianwei Cheng, Xiang Bai

IEEE Robotics Autom. Lett., November, 2023

EPNet++: Cascade Bi-Directional Fusion for Multi-Modal 3D Object Detection.

Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Diffusion-Based 3D Object Detection with Random Boxes.

Xin Zhou, Jinghua Hou, Tingting Yao, Dingkang Liang, Zhe Liu, Zhikang Zou, Xiaoqing Ye, Jianwei Cheng, Xiang Bai

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Query-based Temporal Fusion with Explicit Motion for 3D Object Detection.

Jinghua Hou, Zhe Liu, Dingkang Liang, Zhikang Zou, Xiaoqing Ye, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection.

Jingyu Li, Zhe Liu, Jinghua Hou, Dingkang Liang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection.

Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SparseDet: Towards End-to-End 3D Object Detection.

Jianhong Han, Zhaoyi Wan, Zhe Liu, Jie Feng, Bingfeng Zhou

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis.

Silin Cheng, Xiwu Chen, Xinwei He, Zhe Liu, Xiang Bai

IEEE Trans. Image Process., 2021

2020

EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection.

Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai

Proceedings of the Computer Vision - ECCV 2020, 2020

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention.

Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

3D Object Detection Using Scale Invariant and Feature Reweighting Networks.

Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019