1 citations · 2 across the 8 of their papers we have counts for
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Zero-shot Action Localization via the Confidence of Large Vision-Language Models
Josiah Aklilu, Xiaohan Wang, Serena Yeung-Levy
Precise action localization in untrimmed video is vital for fields such as professional sports and minimally invasive surgery, where the delineation of particular motions in record…
Depth-guided NeRF Training via Earth Mover's Distance
Anita Rau, Josiah Aklilu, F. Christopher Holsinger +1
Neural Radiance Fields (NeRFs) are trained to minimize the rendering loss of predicted viewpoints. However, the photometric loss often does not provide enough information to disamb…
Revisiting Active Learning in the Era of Vision Foundation Models
Sanket Rajan Gupte, Josiah Aklilu, Jeffrey J. Nirschl +1
Foundation vision or vision-language models are trained on large unlabeled or noisy data and learn robust representations that can achieve impressive zero- or few-shot performance…