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20122025
most citedGrad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

6.2k citations · 14.2k across the 134 of their papers we have counts for

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Showing 2015 · cs.CVShow all

5 papers · 2 filters

cs.CV2015

We Are Humor Beings: Understanding and Predicting Visual Humor

Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol +4

Humor is an integral part of human lives. Despite being tremendously impactful, it is perhaps surprising that we do not have a detailed understanding of humor yet. As interactions…

cs.CV2015★ 197 cited

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Stefan Lee, Senthil Purushwalkam, Michael Cogswell +2

Convolutional Neural Networks have achieved state-of-the-art performance on a wide range of tasks. Most benchmarks are led by ensembles of these powerful learners, but ensembling i…

cs.CV2015

CloudCV: Large Scale Distributed Computer Vision as a Cloud Service

Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal +5

We are witnessing a proliferation of massive visual data. Unfortunately scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same…

cs.CV2015

Object-Proposal Evaluation Protocol is 'Gameable'

Neelima Chavali, Harsh Agrawal, Aroma Mahendru +1

Object proposals have quickly become the de-facto pre-processing step in a number of vision pipelines (for object detection, object discovery, and other tasks). Their performance i…

cs.CV2015★ 33 cited

VIP: Finding Important People in Images

Clint Solomon Mathialagan, Andrew C. Gallagher, Dhruv Batra

People preserve memories of events such as birthdays, weddings, or vacations by capturing photos, often depicting groups of people. Invariably, some individuals in the image are mo…