6.2k citations · 14.2k across the 134 of their papers we have counts for
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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…
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…
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell, Faruk Ahmed, Ross Girshick +2
One major challenge in training Deep Neural Networks is preventing overfitting. Many techniques such as data augmentation and novel regularizers such as Dropout have been proposed…
Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang, Yash Goyal, Douglas Summers-Stay +2
The complex compositional structure of language makes problems at the intersection of vision and language challenging. But language also provides a strong prior that can result in…
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…
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…
VQA: Visual Question Answering
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol +4
We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate…
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…