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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.
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis
Weiwei Lin
Chenhang He,
ICLR, 2025
paper
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
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