Chetan Arora
Indraprastha Institute of Information Technology Delhi (IIIT Delhi)
Okhla Industrial Estate Phase III, New Delhi, INDIA 110020

Office: Room A 509, New Academic Building [Map]
E-mail: chetan at iiitd dot ac dot in
Phone: +91-11-26907475
Fax: +91-11-26907405

I am an Assistant Professor at IIIT Delhi.

Prior to this I was a post doctoral researcher at Hebrew University working with Prof. Shmuel Peleg (May 2012-May 2014). I received my Bachelors and PhD from Indian Institute of Technology Delhi, India in 1999 and 2012 respectively. At IIT I worked with Prof. Subhashis Banerjee, Prof. S.N. Maheshwari and Prof. Prem Kalra. From 1999 to 2009, I was involved in co-founding technology startups with my collaborators in India and Japan.

I work in the area of Computer Vision and Machine Learning. My specific research interests lie in Egocentric Vision (a.k.a. first person wearable cameras) and combinatorial optimization algorithms specially for MRF-MAP inference. I am also committed to applications of my expertise for developing novel tools to assist visually impaired people.

Publications (Recent, All)
 
January 20, 2018: 4 papers accepted at WACV 2018.
 
January 6, 2018: Giving a tutorial on assistive vision and our MAVI work at VLSID 2018.
 
May 4, 2017: Visiting Google Bangalore for two months, May and June 2017.
 
April 25, 2017: Giving a talk on Deep Learning as part of Advanced Technical Talks program at Cadence, Noida.
Google Scholar
 
Stabilizing First Person 360 Degree Videos
Chetan Arora, and Vivek Kwatra
Accepted for Publication at IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018.
 
Learning Higher Order Potentials For MRFs
Dinesh Khandelwal, Chetan Arora, and Parag Singla
Accepted for Publication at IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018.
 
A Joint 3D-2D based Method for Free Space Detection on Roads
Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, and Chetan Arora
Accepted for Publication at IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018.
 
Object Detection in Real-Time Systems: Going Beyond Precision
Anupam Sobti, Chetan Arora, and M. Balakrishnan
Accepted for Publication at IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018.
 
Deep CNN with Color Lines Model for Unmarked Road Segmentation
Shashank Yadav, Suvam Patra, Chetan Arora, and Subhashis Banerjee.
International Conference on Image Processing (ICIP), September 2017.
 
Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions
Bharat Bhatnagar, Suriya Singh, Chetan Arora, and C.V. Jawahar.
International Joint Conference on Artificial Intelligence (IJCAI), August 2017.
 
Trajectory Aligned Features For First Person Action Recognition
Suriya Singh, Chetan Arora, and C.V. Jawahar.
Pattern Recognition, February 2017.
 
MAVI: An Embedded Device to Assist Mobility of Visually Impaired,
Rajesh Kedia, K.K. Yoosuf, P. Dedeepya, M. Fazal, Chetan Arora, and M. Balakrishnan.
IEEE International Conference on Embedded Systems and VLSI Design, January 2017.
 
EgoSampling: Wide View Hyperlapse from Single and Multiple Egocentric Videos,
Tavi Halperin, Yair Poleg, Chetan Arora, and Shmuel Peleg.
IEEE Transactions on Circuits and Systems for Video Technology, January 2017.
 
Computing Egomotion with Local Loop Closures for Egocentric Videos,
Suvam Patra, Himanshu Aggarwal, Himani Arora, Chetan Arora and Subhashis Banerjee.
IEEE Winter Conference on Applications of Computer Vision (WACV), March 2017.