1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Provably Learning Object-Centric Representations
Jack Brady, Roland S. Zimmermann, Yash Sharma +3
Learning structured representations of the visual world in terms of objects promises to significantly improve the generalization abilities of current machine learning models. While…
cs.CV2022★ 1 cited
Pixel-level Correspondence for Self-Supervised Learning from Video
Yash Sharma, Yi Zhu, Chris Russell +1
While self-supervised learning has enabled effective representation learning in the absence of labels, for vision, video remains a relatively untapped source of supervision. To add…
cs.CV2022
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
Yash Sharma, Sana Syed, Donald E. Brown
In this work, we propose a mutual information (MI) based unsupervised domain adaptation (UDA) method for the cross-domain nuclei segmentation. Nuclei vary substantially in structur…