I am a Ph.D. student at Toyota Technological Institute at Chicago (TTIC), working on computer vision and machine learning. I am fortunate to be advised by Professor Greg Shakhnarovich. My main research interests are generative models, 2D/3D generation and interpretation of deep generative models.
I presented our work Intrinsic-LoRA at CVPR 2024 workshops in Seattle. 📷Photos
04/2024
I attended the Multi-University Workshop organized by Toyota Research Institute in Los Altos; co-organized the student panel and served as a panelist. 📷Photos
We introduce SignMusketeers for Sign Language Translation at Scale. Using only 3% of compute, 41x less pretraining data, and 160x less pretraining epochs, it achieves competitive performance(-0.4 BLEU) compared to the recent ASL-English Translation SOTA.
We introduce Intrinsic LoRA (I-LoRA), a universal, plug-and-play approach that transforms any generative model into a scene intrinsic predictor, capable of extracting intrinsic scene maps directly from the original generator network.