2026-09-20T00:39:56Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/129355 2025-10-20 col_2142_5131 com_2142_5130

https://hdl.handle.net/2142/129355 Choudhuri, Anwesa Object understanding in generalized video segmentation Spatio-temporal object representation is a key component in video understanding and is important for tasks like generalized video segmentation. Current methods often fail to represent objects spatio-temporally, by failing to capture the motion and interactions of objects over time, leading to identity switches, especially when objects are diverse and never seen before. This limits the generalizability of current methods. In this dissertation, we develop approaches to overcome this. We first develop AS-MOTS, a globally optimal tracker based on ‘assignment-space’ that improves tracking accuracy and enriches spatial object proposals temporally. We then develop CAROQ, an approach to generate spatio-temporally rich object proposals to unify closed-world video segmentation and seamlessly address tracking. Finally, we present OW-VISCapTor, a generalized approach that simultaneously detects, segments, and generates object-centric captions for both seen and previously unseen objects in a video. Generalized video segmentation, video understanding Chowdhary, Girish Schwing, Alexander Gerhard Chowdhary, Girish Driggs-Campbell, Katherine Wang, Yuxiong 2024-08 2024-07-10 application/pdf en text Thesis Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms The student, Anwesa Choudhuri, accepted the attached license on 2024-07-09 at 09:04. The student, Anwesa Choudhuri, submitted this Dissertation for approval on 2024-07-09 at 09:05. This Dissertation was approved for publication on 2024-07-10 at 15:26. DSpace SAF Submission Ingestion Package generated from Vireo submission #20998 on 2025-10-19 at 18:16:56 Copyright 2024 Anwesa Choudhuri Ph.D. Dissertation Electrical & Computer Engr University of Illinois Urbana-Champaign Electrical & Computer Eng