ποΈVision is the interface where photons meet consciousness - for carbon and silicon alike.
Hi π! Iβm a CS Ph.D. candidate at UCD in the Vision and Analytics Lab (THEIA Lab), working with Prof. Soumyabrata Dev.
I previously served as a research assistant at SIAT, CAS. collaborating with Prof. Zhengkun Yi, and earned my M.S. degree in Computer Science from USM under the supervision of Prof. Putra Sumari.
My current research focuses on computer vision, machine learning, and AI.
π₯ News
- 2026.03: Β π MoCrop, has been accepted at IEEE IJCNN. paper [code]
- 2026.02: Β π MoCLIP-Lite, has been accepted at IEEE CISP and is now available on IEEE Xplore: paper [code]
- 2026.01: Β π TinyDrop has been accepted at IEEE ICASSP!
- 2025.10: Β π€ Contributed MV-Only (high-speed mode) to mv-extractor. [upstream] [my fork] [PyPI]
- 2025.09: Β π Preprinted MVP on arXiv: paper [code]
π Latest Publications
2026
-
MoCrop: Training Free Motion Guided Cropping for Efficient Video Action Recognition
B. Huang, W. Yao, S. Chen, G. Wang, Q. Wang, S. Dev
IEEE IJCNN [2026] [Paper] [Code] -
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
G. Wang, Q. Wang, B. Huang, S. Chen, D. John
IEEE ICASSP [2026] [Paper]
2025
-
MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors
B. Huang, N. Wang, A. Parakash, S. Dev
IEEE CISP [2025] [Paper] [Code] -
MVP: Motion Vector Propagation for Zero-Shot Video Object Detection
B. Huang, N. Wang, W. Yao, S. Dev
arXiv preprint [2025] [Paper] [Code] -
Optimal Brain Connection: Towards Efficient Structural Pruning
S. Chen, W. Ma, B. Huang, Q. Wang, G. Wang, W. Sun, L. Huang, D. John
arXiv preprint [2025] [Paper] -
DCentNet: Decentralized multistage biomedical signal classification using early exits
X. Li, B. Huang, B. Cardiff, D. John
Biomedical Signal Processing and Control [2025] [Paper] [Code]
2024
- Dynamic liquid volume estimation using optical tactile sensors and spiking neural network
B. Huang, S. Fang, M. Yin et al.
Springer - Intelligent Service Robotics [2024] [Paper]
π§© Open-Source Contributions
- mv-extractor β Contributor (2025)
A fast H.264/MPEG-4 motion-vector extractor with optional RGB decode skipping.
β’ Key: Implemented Motion-Vectors-Only / frame-decode skipping mode; docs & tests; acknowledged upstream.
β’ Links: Upstream Β· My fork Β· PyPI
π¨βπ» Service
- Session Chair: IJCNN2026
- Program Committee: AAAI2026, SWC2026
- Session Assistant: RCAR2023
- Reviewer: IEEE TIP, IEEE TMM, IEEE TASE, IEEE TIM, AAAI, ACM MM, IEEE ICRA, IEEE ICASSP, IEEE IJCNN, BMVC
π¨βπ» Research Focuses
β’ Video Understanding (Outputs) 2025 - present β’ Model Compression (Outputs) 2023 - 2025 β’ Embodied Intelligence (Outputs) 2021 - 2023
πββοΈ Personal life
- πββοΈ Completed two marathons (42.195 km)