Satvik Chekuri, Prashant Chandrasekar, Bipasha Banerjee, Sung Hee Park, Nila Masrourisaadat, Aman Ahuja, William A. Ingram, Edward A. Fox: Integrated Digital Library System for Long Documents and their Elements. JCDL 2023: 13-24
Satvik Chekuri, Prashant Chandrasekar, Bipasha Banerjee, Sung Hee Park, Nila Masrourisaadat, Aman Ahuja, William A. Ingram, Edward A. Fox: Integrated Digital Library System for Long Documents and their Elements. JCDL 2023: 13-24
Xiaolong Li, Yijia Weng, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song, He Wang: Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds. NeurIPS 2021: 15370-15381
Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen: PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences. CVPR Workshops 2022: 4418-4427
Akash Sonth, Abhijit Sarkar, Hirva Bhagat, A. Lynn Abbott: Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle. IV 2023: 1-8
Hirva Bhagat, Sandesh Jain, A. Lynn Abbott, Akash Sonth, Abhijit Sarkar: Driver Gaze Fixation and Pattern Analysis in Safety Critical Events. IV 2023: 1-8
Yogesh Deshpande, Surendrabikram Thapa, Abhijit Sarkar, A. Lynn Abbott: Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos using an Attention Network. CVPR Workshops 2023: 5975-5984
Fulan Li, Surendrabikram Thapa, Shreyas Bhat, Abhijit Sarkar, A. Lynn Abbott: A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos. CVPR Workshops 2023: 5965-5974
Mridul Khurana is a Ph.D. student in the Department of Computer Science. His advisor is Anuj Karpatne. Khurana’s research centers around generative artificial intelligence and using science guidance to assist biologists in studying the evolution of different animal species over time. From computer vision models he extracts genome-like sequences using images to study the evolutionary traits of […]