no code implementations • 19 Mar 2024 • Anita Rau, Josiah Aklilu, F. Christopher Holsinger, Serena Yeung-Levy
This work proposes a novel approach to uncertainty in depth priors for NeRF supervision.
1 code implementation • 2 Oct 2023 • Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
Colorectal cancer remains one of the deadliest cancers in the world.
1 code implementation • 20 Jul 2023 • Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, José M. M. Montiel, Danail Stoyanov
We show that depth prediction in virtual colonoscopy is robustly solvable, while pose estimation remains an open research question.
1 code implementation • 11 Apr 2022 • Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov
Deducing the 3D structure of endoscopic scenes from images is exceedingly challenging.
1 code implementation • ECCV 2020 • Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov
Even when this is a known scene, the answer typically requires an expensive search across scale space, with matching and geometric verification of large sets of local features.