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Aditya Khosla

8 accepted papers

2017

Network Dissection: Quantifying Interpretability of Deep Visual Representations

CVPR 2017oral

We propose a general framework called Network Dissection for quantifying the interpretability of latent representations of CNNs by evaluating the alignment between individual hidden units and a set of semantic concepts. Given any CNN model, the proposed method draws on a data set of concepts to scor…

Cited by 1943PDFcodeScholar
2016

Eye Tracking for Everyone

CVPR 2016poster

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 pervasive technology. We believe that we can put the power of eye tracking in everyone's palm by building eye tracking softw…

Cited by 1274PDFcodeScholar
2016

Learning Deep Features for Discriminative Localization

CVPR 2016poster

In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network (CNN) to have remarkable localization ability despite being trained on image-level labels. While this technique was previously proposed as a means…

Cited by 13283PDFcodeScholar
2015

3D ShapeNets: A Deep Representation for Volumetric Shapes

CVPR 2015poster

3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic shape representation. With the recent availability of inexpensive 2.5D depth sensors (e.g. Microsoft Kinect), it is becoming increasingly important to have a powerful 3D s…

Cited by 7454SourcePDFScholar
2015

Understanding and Predicting Image Memorability at a Large Scale

ICCV 2015poster

Progress in estimating visual memorability has been limited by the small scale and lack of variety of benchmark data. Here, we introduce a novel experimental procedure to objectively measure human memory, building the largest annotated image memorability dataset to date (with 60,000 labeled images f…

Cited by 435PDFScholar