804 citations · 2.2k across the 11 of their papers we have counts for
13 papers
Multimodal Deep Learning
Cem Akkus, Luyang Chu, Vladana Djakovic +14
This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art ap…
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau, Bolei Zhou, Aditya Khosla +2
We propose a general framework called Network Dissection for quantifying the interpretability of latent representations of CNNs by evaluating the alignment between individual hidde…
Following Gaze Across Views
Adrià Recasens, Carl Vondrick, Aditya Khosla +1
Following the gaze of people inside videos is an important signal for understanding people and their actions. In this paper, we present an approach for following gaze across views…
Places: An Image Database for Deep Scene Understanding
Bolei Zhou, Aditya Khosla, Agata Lapedriza +2
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification at tasks such as object and scene…
Eye Tracking for Everyone
Kyle Krafka, Aditya Khosla, Petr Kellnhofer +4
From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, eye tracking has yet to become a perv…
Deep Learning for Identifying Metastatic Breast Cancer
Dayong Wang, Aditya Khosla, Rishab Gargeya +2
The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole s…