📖 About Me
Hengcan Shi (石恒璨) is a Professor at the School of Artificial Intelligence and Robotics, Hunan University. Before that, he was a Research Fellow at the Department of Data Science & AI, Monash University, and a Senior Researcher at Tencent. He received his Ph.D. degree in computer vision from University of Electronic Science and Technology of China in 2019. He has served as reviewer for IEEE TPAMI, IJCV, IEEE TIP, TMM, TCSVT, TIE, PR and ISPRS. He was the Web Chair, Area Chair and PC member of ACMMM, CVPR, ICCV, ECCV, AAAI, IJCAI, ICML, ICLR and NeurIPS.
His research interests include Large Model, Image Segmentation/Detection, Vision+Language, and Affective Computing.
💻 Email: shihengcan AT gmail DOT com
🔥 News
- 2025.12: 🎉🎉 One paper has accepted by IEEE TCSVT.
- 2025.11: 🎉🎉 Best paper award in IEEE AIHCIR 2025.
📝 Selected Publications
Datasets and Benchmarks

NaME: A Natural Micro-expression Dataset for Micro-expression Recognition in the Wild
Jiateng Liu, Hengcan Shi, Haiwen Liang, Xiaolin Xu, Yuan Zong, Yaonan Wang, Wenming Zheng
ACMMM 2025, Project

Duy-Tho Le, Chenhui Gou, Stavya Datta, Hengcan Shi, Ian Reid, Jianfei Cai, Hamid Rezatofighi
CVPR 2024, Project
Algorithms

FPS: Frequency Prompt Synchronization for Micro-expression Recognition
Jiateng Liu, Hengcan Shi, Yaonan Wang, Wenming Zheng
PR 2025

LLMFormer: Large LanguageModel for Open-Vocabulary Semantic Segmentation
Hengcan Shi, Son Duy Dao, Jianfei Cai
IJCV 2025, Highly Cited

Drvideo: Document retrieval based long video understandings
Ziyu Ma, Chenhui Gou, Hengcan Shi, Bin Sun, Shutao Li, Hamid Rezatofighi, Jianfei Cai
CVPR 2025

New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending
Jin Ye, Son Duy Dao, Yicheng Wu, Yasmeen George, Thanh Nguyen-Duc, Daniel F Schmidt, Hengcan Shi, Winston Chong, Jianfei Cai
MICCAI 2025

Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
Duy-Tho Le, Hengcan Shi, Jianfei Cai, Hamid Rezatofighi
ECCV 2024

Unified open-vocabulary dense visual prediction
Hengcan Shi, Munawar Hayat, Jianfei Cai
IEEE TMM 2024, Highly Cited

Learning offset probability distribution for accurate object detection
Heqian Qiu, Hongliang Li, Qingbo Wu, Hengcan Shi, Lanxiao Wang, Fanman Meng, Linfeng Xu
ACM TOMM 2024


Open-vocabulary object detection via scene graph discovery
Hengcan Shi, Munawar Hayat, Jianfei Cai
ACMMM 2023

Class Enhancement Losses with Pseudo Labels for Open-Vocabulary Semantic Segmentation
Son D Dao, Hengcan Shi, Dinh Phung, Jianfei Cai
IEEE TMM 2023

Unpaired referring expression grounding via bidirectional cross-modal matching
Hengcan Shi, Munawar Hayat, Jianfei Cai
Neurocomputing 2023

Coactseg: Learning from heterogeneous data for new multiple sclerosis lesion segmentation
Yicheng Wu, Zhonghua Wu, Hengcan Shi, Bjoern Picker, Winston Chong, Jianfei Cai
MICCAI 2023

Proposalclip: Unsupervised open-category object proposal generation via exploiting clip cues
Hengcan Shi, Munawar Hayat, Yicheng Wu, Jianfei Cai
CVPR 2022, Highly Cited

Accurate and real-time 3D pedestrian detection using an efficient attentive pillar network
Duy Tho Le, Hengcan Shi, Hamid Rezatofighi, Jianfei Cai
IEEE RA-L 2022

Deep music retrieval for fine-grained videos by exploiting cross-modal-encoded voice-overs
Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi
SIGIR 2021

Offset bin classification network for accurate object detection
Heqian Qiu, Hongliang Li, Qingbo Wu, Hengcan Shi
CVPR 2020

Language-aware fine-grained object representation for referring expression comprehension
Heqian Qiu, Hongliang Li, Qingbo Wu, Fanman Meng, Hengcan Shi, Taijin Zhao, King Ngi Ngan
ACMMM 2020

Query reconstruction network for referring expression image segmentation
Hengcan Shi, Hongliang Li, Qingbo Wu, King Ngi Ngan
IEEE TMM 2020

Hierarchical context features embedding for object detection
Heqian Qiu, Hongliang Li, Qingbo Wu, Fanman Meng, Linfeng Xu, King Ngi Ngan, Hengcan Shi
IEEE TMM 2020

Scene Parsing via Integrated Classification Model and Variance-Based Regularization
Hengcan Shi, Hongliang Li, Qingbo Wu, Zichen Song
CVPR 2019

A2RMNet: Adaptively Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images
Heqian Qiu, Hongliang Li, Qingbo Wu, Fanman Meng, King Ngi Ngan, Hengcan Shi
Remote Sensing 2019, Highly Cited

Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects
Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu
IEEE TMM 2018

Boosting Scene Parsing Performance via Reliable Scale Prediction
Hengcan Shi, Hongliang Li, Qingbo Wu, Fanman Meng, King N Ngan
ACMMM 2020, Oral

Key-word-aware network for referring expression image segmentation
Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu
ECCV 2018, Highly Cited
📖 Academic Services
- Building…
🎖 Selected Honors and Awards
- 2025: Distinguished Breakthrough Award in ACMMM 2025 AVI Challenge
- 2025: Best paper Award in IEEE AIHCIR 2025
- 2021: Excellent Doctoral Dissertation Award in CSIG
- 2019: The First Price in NSFC Remote Sensing Image Segmentation Challenge
💬 Invited Talks
- Building…