Chenhang HE

I'm a research assistant professor at The Department of Computing, Hong Kong Polytechnic University. I have received my PhD at COMP@PolyU, working with Prof. Lei Zhang. I have received my MPhil at EIE@PolyU, working with Prof. Kin-Man Lam.

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Looking for highly-motivated PhD students and Postdoctoral Fellows for 2025.

Research

My research mainly focus on Point Cloud 3D Object Detection, Instance Segmentation and 2D Object Detection.

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
Guowen Zhang Lue Fan Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
NeurIPS, 2024
paper / code

ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention
Chenhang He, Ruihuang Li, Guowen Zhang, Lei Zhang
ECCV, 2024
paper / code

Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
Xi Yang, Chenhang He, Jianqi Ma, Lei Zhang
ECCV, 2024
paper / code

Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding
Ruihuang Li, Zhengqian Zhang, Chenhang He, Zhiyuan Ma, Vishal M. Patel, Lei Zhang
ECCV, 2024
paper / code

LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang
ECCV, 2024
paper / code

MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences
Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang
CVPR, 2023
paper / code / bibtex

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds
Chenhang He, Ruihuang Li, Shuai Li, Lei Zhang
CVPR, 2022  
paper / code / bibtex

Structure Aware Single-stage 3D Object Detection from Point Cloud
Chenhang He, Hui Zeng, Jianqiang Huang, Xiansheng Hua, Lei Zhang
CVPR, 2020 (The first place on KITTI BEV Detection )
paper /  code /  video /  bibtex

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
Ruihuang Li*, Chenhang He*, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang
CVPR, 2023 (* Equal Contribution)
paper / code / bibtex

DynaMask: Dynamic Mask Selection for Instance Segmentation
Ruihuang Li*, Chenhang He*, Shuai Li, Yabin Zhang, Lei Zhang
CVPR, 2023 (* Equal Contribution)
paper / code / bibtex

Self-supervised Neural Factor Analysis for Disentangling
Weiwei Lin*, Chenhang He*, Man-Wai Mak, Youzhi Tu
ICML, 2023 (* Equal Contribution)
paper

One-to-Few Label Assignment for End-to-End Dense Detection
Shuai Li, Minghan Li, Ruihuang Li, Chenhang He, Lei Zhang
CVPR, 2023
paper / code / bibtex

A Dual Weighting Label Assignment Scheme for Object Detection
Shuai Li, Chenhang He, Ruihuang Li, Lei Zhang
CVPR, 2022
paper / code / bibtex

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
Ruihuang Li Shuai Li, Chenhang He, Yabin Zhang, Xu Jia Lei Zhang
CVPR, 2022
paper / code / bibtex

Improving Object Detection with Relation Graph Inference
Chenhang He, Shun-Cheung Lai, Kin-man Lam
ICASSP, 2019
paper / bibtex

Low-resolution face recognition based on identity-preserved face hallucination
Shun-Cheung Lai, Chenhang He, Kin-Man Lam
ICIP, 2019
paper / code / bibtex