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)
 
May 15, 2018: 6 papers accepted at ICIP 2018.
 
March 15, 2018: 1 paper accepted at CVPR 2018.
 
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.
Google Scholar
 
Exploiting Texture Cues for Clothing Parsing in Fashion Images
Tarasha Khurana, Kushagra Mahajan, Chetan Arora, and Atul Rai
Accepted for Publication at International Conference on Image Processing (ICIP), October 2018.
 
Pose Aware Fine-Grained Visual Classification Using Pose Experts
Kushagra Mahajan, Tarasha Khurana, Ayush Chopra, Isha Gupta, Chetan Arora, and Atul Rai
Accepted for Publication at International Conference on Image Processing (ICIP), October 2018.
 
Diversity in Fashion Recommendation using Semantic Parsing
Sagar Verma, Sukhad Anand, Chetan Arora, and Atul Rai
Accepted for Publication at International Conference on Image Processing (ICIP), October 2018.
 
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool
Pulkit Kumar, Pravin Nagar, Chetan Arora, and Anubha Gupta
Accepted for Publication at International Conference on Image Processing (ICIP), October 2018.
 
Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos
Sagar Verma, Pravin Nagar, Divam Gupta, and Chetan Arora
Accepted for Publication at International Conference on Image Processing (ICIP), October 2018.
 
Making Deep Neural Network Fooling Practical
Ambar Pal, and Chetan Arora
Accepted for Publication at International Conference on Image Processing (ICIP), October 2018.
 
Inference in Higher Order MRF-MAP Problems with Small and Large Cliques
Ishant Shanu, Chetan Arora, and S.N. Maheshwari
Accepted for Publication at IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2018.
 
Stabilizing First Person 360 Degree Videos
Chetan Arora, and Vivek Kwatra
IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018.
 
Learning Higher Order Potentials For MRFs
Dinesh Khandelwal, Chetan Arora, and Parag Singla
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
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
IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018.