Ishan Misra

Sort by:

Cross-Stitch Networks for Multi-task Learning

Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert
IEEE Conference on Computer Vision and Pattern…
2016

Multi-task learning in Convolutional Networks has displayed remarkable success in the field of recognition. This success can be largely attributed to learning shared representations from multiple… (More)

Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification

Ishan Misra, C. Lawrence Zitnick, Martial Hebert
ECCV
2016

In this paper, we present an approach for learning a visual representation from the raw spatiotemporal signals in videos. Our representation is learned without supervision from semantic labels. We… (More)

Generating Natural Questions About an Image

Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende
ACL
2016

There has been an explosion of work in the vision & language community during the past few years from image captioning to video transcription, and answering questions about images. These tasks focus… (More)

Visual Storytelling

Ting-Hao Kenneth Huang, Francis Ferraro, +12 authors Margaret Mitchell
HLT-NAACL
2016

We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling. The dataset includes 81,743 unique photos in 20,211… (More)

Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection

Debidatta Dwibedi, Ishan Misra, Martial Hebert
IEEE International Conference on Computer Vision…
2017

A major impediment in rapidly deploying object detection models for instance detection is the lack of large annotated datasets. For example, finding a large labeled dataset containing instances in a… (More)

From Red Wine to Red Tomato: Composition with Context

Ishan Misra, Abhinav Gupta, Martial Hebert
IEEE Conference on Computer Vision and Pattern…
2017

Compositionality and contextuality are key building blocks of intelligence. They allow us to compose known concepts to generate new and complex ones. However, traditional learning methods do not… (More)

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels

Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick
IEEE Conference on Computer Vision and Pattern…
2016

When human annotators are given a choice about what to label in an image, they apply their own subjective judgments on what to ignore and what to mention. We refer to these noisy "human-centric"… (More)

Unsupervised Learning using Sequential Verification for Action Recognition

Ishan Misra, C. Lawrence Zitnick, Martial Hebert
ArXiv
2016

In this paper, we consider the problem of learning a visual representation from the raw spatiotemporal signals in videos for use in action recognition. Our representation is learned without… (More)

Watch and learn: Semi-supervised learning of object detectors from videos

Ishan Misra, Abhinav Shrivastava, Martial Hebert
IEEE Conference on Computer Vision and Pattern…
2015

We present a semi-supervised approach that localizes multiple unknown object instances in long videos. We start with a handful of labeled boxes and iteratively learn and label hundreds of thousands… (More)

Hybrid implementation of error diffusion dithering

Aditya Deshpande, Ishan Misra, P. J. Narayanan
18th International Conference on High Performance…
2011

Many image filtering operations provide ample parallelism, but progressive non-linear processing of images is among the hardest to parallelize due to long, sequential, and non-linear data dependency.… (More)

Filter Results:

Publication Year

Publication Type

Co-author

Journals and Conferences