About Me

Feng-Kai (Leonel) Huang is a Ph.D. student in Computer Science and Information Engineering at National Taiwan University (NTU), where he is a member of the Communications and Multimedia Laboratory (CMLab) in the Artificial Intelligence and MultiMedia (AIMM) Research Group. His research is supervised by Prof. Wen-Huang Cheng and Prof. Hong-Han Shuai. His consistent academic excellence is highlighted by his induction into the Phi Tau Phi Scholastic Honor Society twice during his undergraduate and master’s studies.

His research interests are centered on artificial intelligence, machine learning, computer vision, and multimedia processing. He is passionate about developing algorithms to solve real-world challenges in computer vision, with publications in international conferences such as ACM MM, ICCV, WACV, and ICIP. He is open to potential research collaborations.

Research Interests

Computer vision, artificial intelligence, machine learning, and multimedia processing.

Selected Publications

1. 

   Density-Assisted Adaptive Alignment Network for Video Individual Counting

   Feng-Kai Huang and Kai-Jui Weng and Jhih-Ciang Wu and Yung-Hui Li and Wen-Huang Cheng and Hong-Han Shuai

   ACM Transactions on Intelligent Systems and Technology (TIST), accepted in August 2026.

   Code
2. 

   Flowing Crowd to Count Flows: A Self‑Supervised Framework for Video Individual Counting

   Feng-Kai Huang and Bo-Lun Huang and Li-Wu Tsao and Jhih-Ciang Wu and Hong-Han Shuai and Wen-Huang Cheng

   ACM International Conference on Multimedia (MM), 2025.

   Paper Code Project Regular Track Paper
3. 

   OinkTrack: An Ultra-Long-Term Dataset for Multi-Object Tracking and Re-Identification of Group-Housed Pigs

   Feng-Kai Huang and Hong-Wei Xu and Chu-Chuan Lee and Hong-Yi Tu and Hong-Han Shuai and Wen-Huang Cheng

   ACM International Conference on Multimedia (MM), 2025.

   Paper Project Dataset Track Paper

All publications →