Aditya Khosla

I am a fourth year computer science Ph.D. student at the Massachusetts Institute of Technology. I work at CSAIL with the Computer Vision Group where I am advised by Professor Antonio Torralba, and frequently collaborate with Professor Aude Oliva.

      Email: khosla@csail.mit.edu
      Office: 32-D428
      Curriculum vitae: pdf

I completed my M.S. in computer science at Stanford University with the Stanford Vision Lab where I was advised by Professor Fei-Fei Li. I completed my B.S. with honors in computer science, electrical engineering and economics at the California Institute of Technology where I was advised by Professor Tracey Ho. Last year, I was supported by a Facebook Fellowship. Thank you Facebook!


2011 - Present Summer 2013 Summer 2012 2009 - 2011 2005 - 2009

 

Recent News

 

Publications

(complete bibfile, Google Scholar page)

ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang,
Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg and Li Fei-Fei
arXiv:1409.0575, 2014 (under submission to IJCV).
[paper] [bibtex] [arXiv] [mit tech review]

3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction
Zhirong Wu, Shuran Song, Aditya Khosla, Xiaoou Tang and Jianxiong Xiao
arXiv:1406.5670, 2014.
[paper] [bibtex] [arXiv] [modelnet]

FPM: Fine pose Parts-based Model with 3D CAD Models
Joseph J. Lim, Aditya Khosla and Antonio Torralba
To appear in European Conference on Computer Vision (ECCV), 2014.
[paper] [bibtex]

Looking Beyond the Visible Scene
Aditya Khosla, Byoungkwon An, Joseph J. Lim and Antonio Torralba
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
[paper] [bibtex] [project page]

What makes an image popular?
Aditya Khosla, Atish Das Sarma and Raffay Hamid
International World Wide Web Conference (WWW), 2014.
[paper] [bibtex] [slides] [demo/project page] [bbc] [huffington post]

Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities
Aditya Khosla, Bangpeng Yao and Li Fei-Fei
Book chapter in Human-Centered Social Media Analytics, Springer, 2014.
[paper] [bibtex] [poster] [slides] [code]
PASCAL VOC Action Classification Winner 2011 & 2012!

Modifying the Memorability of Face Photographs
Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba and Aude Oliva
International Conference on Computer Vision (ICCV), 2013.
[paper] [bibtex] [project page] [new york times]

HOGgles: Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz and Antonio Torralba
International Conference on Computer Vision (ICCV), 2013.
Oral Presentation
[paper] [bibtex] [project page] [code] [demo] [mit news]

What makes a picture memorable?
Aude Oliva, Phillip Isola, Aditya Khosla and Wilma A. Bainbridge
SPIE Newsroom article, DOI: 10.1117/2.1201304.004806, 7 May 2013.
[paper] [newsroom] [bibtex]

Large-Scale Video Summarization Using Web-Image Priors
Aditya Khosla, Raffay Hamid, Chih-Jen Lin and Neel Sundaresan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
[paper] [bibtex] [project page]

Memorability of Image Regions
Aditya Khosla, Jianxiong Xiao, Antonio Torralba and Aude Oliva
Advances in Neural Information Processing Systems (NIPS), 2012.
[paper] [bibtex] [project page]

Image Memorability and Visual Inception
Aditya Khosla*, Jianxiong Xiao*, Phillip Isola, Antonio Torralba and Aude Oliva (* - indicates equal contribution)
SIGGRAPH Asia, 2012. (Invited paper)
[paper] [bibtex]

Undoing the Damage of Dataset Bias
Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei A. Efros, and Antonio Torralba
European Conference on Computer Vision (ECCV), 2012.
[paper] [bibtex] [project page] [code]

Human Action Recognition by Learning Bases of Action Attributes and Parts
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy Lai Lin, Leonidas J. Guibas, and Li Fei-Fei
International Conference on Computer Vision (ICCV), 2011.
Oral presentation
[paper] [extended paper] [bibtex] [slides] [video] [dataset]

Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects
and Human Poses

Bangpeng Yao, Aditya Khosla, and Li Fei-Fei
International Conference on Machine Learning (ICML), 2011.
Oral presentation in the cross-conference track
[paper] [bibtex] [slides]

Multimodal Deep Learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng
International Conference on Machine Learning (ICML), 2011.
Oral presentation
[paper] [bibtex] [poster] [slides]


Combining Randomization and Discrimination for Fine-Grained Image Categorization
Aditya Khosla*, Bangpeng Yao* and Li Fei-Fei (* - indicates equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
[paper] [bibtex] [poster] [slides] [code]
PASCAL VOC Action Classification Winner 2011 & 2012!

An Integrated Machine Learning Approach to Stroke Prediction
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, and Honglak Lee
16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2010.
Oral presentation
[paper] [bibtex] [slides] [video] [code]

On combining information theoretic and cryptographic approaches to network coding security
against the pollution attack

Svitlana Vyetrenko, Aditya Khosla and Tracey Ho
Asilomar Conference on Signals, Systems and Computers (Asilomar), 2009.
[paper] [bibtex]

Towards Real-time Classification of Astronomical Transients
Mahabal, A.; Djorgovski, S. G.; Williams, R.; Drake, A.; Donalek, C.; Graham, M.; Moghaddam, B.;
Turmon, M.; Jewell, J.; Khosla, A.; Hensley, B.
International conference on Classification and Discovery in Large Astronomical Surveys (Class), 2008.
[paper] [bibtex]

Workshops

Novel Dataset for Fine-Grained Image Categorization
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao and Li Fei-Fei
First Workshop on Fine-Grained Visual Categorization (FGVC), CVPR 2011.
[extended abstract] [bibtex] [poster] [dataset]