[CVPR'26] Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness

Xin Hu, Haomiao Ni, Yunbei Zhang, Jihun Hamm, Zechen Li, Zhengming Ding

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026, Jun 3-7, Denver, USA

[paper]

[MICCAI'25] Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation

Shuhua Yang*, Tongan Cai*, Haomiao Ni*, Wenchao Ma, Yuan Xue, Kelvin Wong, John Volpi, James Z. Wang, Sharon Xiaolei Huang, Stephen T.C. Wong.

The 28th International Conference on Medical Image Computing and Computer Assisted Intervention, Sept 23-27, 2025, Daejeon, Republic of Korea

[paper]

[IPMI'25] SafeTriage: Facial Video De-identification for Privacy-Preserving Stroke Triage

Tongan Cai*, Haomiao Ni*, Wenchao Ma*, Yuan Xue, Qian Ma, Rachel Leicht, Kelvin Wong, John Volpi, Stephen T.C. Wong, James Z. Wang, Sharon Xiaolei Huang

The 29th International Conference on Information Processing in Medical Imaging 2025, May 25-30, Kos Island, Greece

[paper]

[CVPR'24] TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models

Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon Xiaolei Huang, Tim K. Marks

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, Jun 17-21, Seattle, USA

[paper][code][website]

[WACV'24] 3D-Aware Talking-Head Video Motion Transfer

Haomiao Ni, Jiachen Liu, Yuan Xue, Sharon Xiaolei Huang

The IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 4-8, 2024, Waikoloa, Hawaii

[paper]

[MICCAI'23] Synthetic Augmentation with Large-scale Unconditional Pre-training

Jiarong Ye*, Haomiao Ni*, Peng Jin, Sharon Xiaolei Huang, Yuan Xue

The 26th International Conference on Medical Image Computing and Computer Assisted Intervention, October 8-12, 2023, Vancouver, Canada

[paper][code]

[CVPR'23] Conditional Image-to-Video Generation with Latent Flow Diffusion Models

Haomiao Ni, Changhao Shi, Kai Li, Sharon Xiaolei Huang, Martin Renqiang Min

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023, Jun 18-22, Vancouver, Canada

[paper][code]

[WACV'23] Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis

Haomiao Ni, Yihao Liu, Sharon Xiaolei Huang, Yuan Xue

The IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 3-7, 2023, Waikoloa, Hawaii

[paper][code]

[Medical Image Analysis'23] Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment (IF=10.9)

Haomiao Ni*, Yuan Xue*, Liya Ma, Qian Zhang, Xiaoye Li,  Xiaolei Huang

[paper][dataset]

[Medical Image Analysis'22] DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning (IF=10.9)

Tongan Cai*, Haomiao Ni*, Mingli Yu, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T.C. Wong

[paper]

[MICCAI'22] Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Haomiao Ni*, Yuan Xue*, Kelvin Wong,  John Volpi, Stephen Wong, James Wang, Xiaolei Huang 

The 25th International Conference on Medical Image Computing and Computer Assisted Intervention, September 18-22, 2022, Singapore

[paper][code]

[MICCAI'20] SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos

Haomiao Ni*, Yuan Xue*, Qian Zhang, Xiaolei Huang 

The 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, October 4-8, 2020, Lima, Peru

[paper] [code]

[Scientific Reports'19] A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images (IF=4.9)

Zichao Guo, Hong Liu, Haomiao Ni, Xiangdong Wang, Mingming Su, Wei Guo, Kuansong Wang, Taijiao Jiang, and Yueliang Qian

[paper]

[ACCV'16] Action Recognition Based on Optimal Joint Selection and Discriminative Depth Descriptor

Haomiao Ni, Hong Liu, Xiangdong Wang and Yueliang Qian

The 13th Asian Conference on Computer Vision, November 20-24, 2016, Taipei, Taiwan

[paper] [code]