I am a fifth-year Ph.D. candidate in Computer Science at DVMM Lab, Columbia University, advised by Prof. Shih-Fu Chang. My research interest is computer vision under low-resource scenarios. Specifically, I work actively on efficient multi-modal understanding, compressed video understanding and few-shot learning.
Prior to the doctoral program, I obtained my B.S. in Electrical Engineering and B.S. in Applied Mathematics at UC San Diego in 2018. I was fortunate to work with Prof. Truong Nguyen and Prof. Jorge Cortés.
- CVPRTask-Adaptive Negative Envision for Few-Shot Open-Set RecognitionIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
- CVPRFew-Shot Object Detection With Fully Cross-TransformerIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
- AAAIMeta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignmentThirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2021
- ICCVQuery adaptive few-shot object detection with heterogeneous graph convolutional networksIn Proceedings of the IEEE/CVF International Conference on Computer Vision 2021
- arxivFlow-distilled IP two-stream networks for compressed video action recognitionarXiv preprint arXiv:1912.04462 2019