Published dozens of research papers in top-tier journals and conferences such as TPAMI, IJCV, TIP, CVPR, ICCV. Representative works include:
1. Focus for Free in Density-Based Counting
2. On Measuring and Controlling the Spectral Bias of the Deep Image Prior
3. Unsharp Mask Guided Filtering
4. Ordered or Orderless: A Revisit for Video based Person Re-ID
5. Nonlinear Regression via Deep Negative Correlation Learning
6. Counting with Focus for Free
7. Crowd Counting with Deep Negative Correlation Learning
8. Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole-Heart Segmentation from 3D MR Images
9. Multiscale Multitask Deep NetVLAD for Crowd Counting
10. Rank-based Pooling for Deep Convolutional Neural Networks
Research Experience
Worked as a research scientist at A*STAR in Singapore from July 2022 to December 2023.
Education
PhD from the University of Amsterdam, supervised by Prof. Cees Snoek and Dr. Pascal Mattes.
Background
Research interests include Computer Vision and Machine Learning. Currently, his research focuses on adaptive machine learning and Multimodal Large Language Models, specifically on continual learning, prompt tuning, instruction tuning, alignment tuning, retrieval augmented generation, Agent etc.