I am a Research Scientist at Facebook AI Research (FAIR) where I work on Computer Vision and Machine Learning. My research interest is in reducing the need for supervision in visual learning.
I finished my PhD at the Robotics Institute at Carnegie Mellon University where I worked with Martial Hebert and Abhinav Gupta. My PhD Thesis was titled “Visual Learning with Minimal Human Supervision” for which I received the SCS Distinguished Dissertation Award (Runner Up) 2018.
Optimizing multi-class multimedia data classification using negative data
Xian-Sheng Hua, Jin Li and Ishan Misra
Optimizing multi-class image classification using patch features
Ishan Misra, Jin Li and Xian-Sheng Hua
Filed 2015; Published 2016
[link]
Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding
Hexiang Hu, Ishan Misra, Laurens van der Maaten
Under review
Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing
Angela Jiang, Daniel L.-K. Wong, Christopher Canel, Ishan Misra, Michael Kaminsky, Michael Kozuch, Padmanabhan Pillai, David G. Andersen and Gregory Ganger
USENIX Annual Technical Conference 2018
Learning by Asking Questions
Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta and Laurens van der Maaten
CVPR 2018 (Oral)
Cut Paste and Learn: Surprisingly Easy Synthesis
for Instance Detection
Debidatta Dwibedi, Ishan Misra and Martial Hebert
ICCV 2017
From Red Wine to Red Tomato: Composition with Context
Ishan Misra, Abhinav Gupta and Martial Hebert
CVPR 2017 (Oral) [Acceptance Rate 2.65%]
Shuffle and Learn: Unsupervised Learning
using Temporal Order Verification
Ishan Misra, C. Lawrence Zitnick and Martial Hebert
ECCV 2016
Seeing through the Human Reporting Bias:
Visual Classifiers from Noisy
Human-Centric Labels
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell and Ross Girshick
CVPR 2016
Cross-stitch Networks for Multi-Task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta and Martial Hebert
CVPR 2016 (Spotlight) [Acceptance Rate 9.7%]
Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin,
Margaret Mitchell, Xiaodong He and Lucy Vanderwende
ACL 2016 (Oral) (Long Paper)
Visual Storytelling
Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Aishwarya Agrawal,
Ross Girshick,
Xiaodong He, Pushmeet Kohli, Dhruv Batra,
C. Lawrence Zitnick,
Devi Parikh, Lucy Vanderwende, Michel Galley and Margaret Mitchell.
NAACL 2016
Watch and Learn: Semi-Supervised Learning of Object Detectors from Video
Ishan Misra, Abhinav Shrivastava and Martial Hebert
CVPR 2015
Applying artificial vision models to human scene understanding
E. Aminoff, M. Toneva, A. Shrivastava, X. Chen, I. Misra,
A. Gupta, M. Tarr.
Journal of Frontiers in Computational Neuroscience, 2015
Data-driven Exemplar Model Selection
Ishan Misra, Abhinav Shrivastava and Martial Hebert
WACV 2014 (Oral) (Best Student Paper)
Hybrid Implementation of Error Diffusion Dithering
Aditya Deshpande, Ishan Misra and P J Narayanan
High Performance Computing (HiPC) 2011
