I'm a second year Master's student at the University of
North Carolina at Chapel Hill in the Department of
Computer Science.
I'm currently working with Prof. Gedas
Bertasius on fine-grained skill analysis and AI
for sports. I'm also a research assistant at Zylka lab on
developing computer vision models for spontaneous pain
measurement from mouse.
I graduated May 2023 from UNC with a B.S. in Computer
Science and a B.A. in Mathematics. I worked with Prof. Roni
Sengupta on computer vision during my undergraduate
studies.
I'm broadly interested in Computer Vision and
Video
Understanding. My current
focus
is on fine-grained video understanding, particularly in
the areas of sports analytics and neuroscience. I’m
also interested in AI security, especially for video data.
I view video as a rich and valuable large-scale training
source of knowledge, but I believe it must be utilized
with careful attention to security and safety
considerations.
We present BASKET, a large-scale basketball video
dataset
for fine-grained skill estimation. BASKET contains more
than 4,400 hours of video capturing 32,232 basketball
players from all over the world. We benchmark multiple
SOTA video recognition models and reveal that these
models
struggle to achieve good results on our benchmark.
Neural Motion Transfer serves as an effective data
augmentation technique for PPG signal estimation from
facial videos. We devise the best strategy to augment
publicly available datasets with motion augmentation,
improving up to 75% over SOTA techniques on five benchmark
datasets.
Introducing a multi-reliability and multi-level feature
augmentation framework for semi-supervised semantic
segmentation, effectively utilizing labeled and unlabeled
images and improving segmentation performance on benchmark
datasets.
Misc
I am enthusiastic in helping other students succeed in
computer science. I have shared my knowledge and support
students' learning journey in the following course:
University of North Carolina at Chapel Hill,
Undergraduate Learning Assistant: