I am a PhD candidate in Computer Science at the Stony Brook University, working with Prof. Michael S. Ryoo and Prof. Dimitris Samaras. My broad research goal is to create efficient computer vision systems, enabling accessibility and fairness, while regulating the negative impact on the world. I am particularly interested in topics in video domain, and work on improving parameter/compute efficiency, inference speed and label efficiency. Currently, I am exploring video representations with minimal supervision, and excited about attention mechanisms.
|[Nov 2021]||Our recent paper "SWAT: Spatial Structure Within and Among Tokens" is now on arxiv.|
|[Aug 2021]||I had a great internship experience at Wormpex AI Research. Our paper "Self-supervised Pretraining with Classification Labels for Temporal Activity Detection" is now on arxiv.|
|[June 2021]||One paper was presented at CVPR 2021.|
|[May 2021]||This Summer, I will be interning at Wormpex AI Research, working on video representation learning with minimal supervision.|
|[Mar 2021]||Our paper "Coarse-Fine Networks for Temporal Activity Detection in Videos" was accepted at CVPR 2021.|
|[Jan 2021]||Two papers were presented at WACV 2021 and ICPR 2020.|
|[Aug 2020]||Our paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction" was accepted at WACV 2021.|
|[Jun 2020]||Our paper "Feature-dependent Cross-Connections in Multi-Path Neural Networks" was accepted at ICPR 2020.|
|[May 2020]||Our paper "On the Exact Outage Probability of 2x2 MIMO-MRC in Correlated Rician Fading" was presented at IEEE Wireless Communications and Networking Conference (WCNC) 2020 held virtually.|
Website template from Justin Johnson. Thanks!