I am a PhD candidate at the Stony Brook University, working with Prof. Michael S. Ryoo and Prof. Dimitris Samaras. I am interested in computer vision, particularly in the video domain, and work on improving parameter/compute efficiency, inference speed and label efficiency. Currently, I explore video representations with minimal supervision and token-based models in vision.
|[Mar 2022]||Our paper "MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection" was accepted at CVPR 2022.|
|[Feb 2022]||I joined Robotics at Google as a Student Researcher.|
|[Dec 2021]||I was a finalist (1/30) for the Adobe Research Fellowship 2022. Congratulations to all the winners!|
|[Dec 2021]||Our paper "Swift: Adaptive Video Streaming with Layered Neural Codecs" was accepted at NSDI 2022.|
|[Nov 2021]||Our recent papers "SWAT: Spatial Structure Within and Among Tokens" and "MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection" are now on arxiv.|
|[Sep 2021]||I am officially a PhD candidate now!|
|[Aug 2021]||I interned at Wormpex AI Research in Summer 2021, working on video representations with minimal supervision. Our paper "Self-supervised Pretraining with Classification Labels for Temporal Activity Detection" is now on arxiv.|
|[Mar 2021]||Our paper "Coarse-Fine Networks for Temporal Activity Detection in Videos" was accepted at CVPR 2021.|
|[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 WCNC 2020.|
Website template from Justin Johnson. Thanks!