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20122023
most citedDeep Learning for Identifying Metastatic Breast Cancer

804 citations · 2.2k across the 11 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.CV2016★ 3 cited

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…

cs.CV2016★ 175 cited

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…

cs.CV2016★ 71 cited

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…

q-bio.QM2016★ 804 cited

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…

cs.CV2016★ 45 cited

Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition

Radoslaw M. Cichy, Aditya Khosla, Dimitrios Pantazis +2

The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations t…