Mrigank Rochan

Ph.D. Student
Department of Computer Science
University of Manitoba
Email: mrochan@cs.umanitoba.ca

CVGoogle Scholar

About Me

I am a second year Ph.D. student in Computer Science at the University of Manitoba where I am advised by Prof. Yang Wang. My research is focused on Deep Learning and its applications in Computer Vision.

I received my M.Sc. degree in Computer Science from the University of Manitoba in 2016, and my B.Tech. degree in Computer Science and Engineering from Amrita Vishwa Vidyapeetham University, India, in 2011. I was also a visiting research student with Prof. Greg Mori at Simon Fraser University in 2015-2016.


2013 - Present 2015 - 2016 2011 - 2013 2007 - 2011

 

Recent News

  • NEW 06/2017: 3 papers accepted to BMVC 2017!
  • NEW 05/2017: I have been accepted to Deep Learning Summer School at the University of Montreal with financial aid!
  • NEW 03/2017: I received the University of Manitoba Graduate Fellowship (UMGF)!
  • NEW 02/2017: I have a paper accepted to CVPR 2017!
  • 08/2016: I have a paper accepted to Image and Vision Computing!
  • 07/2016: I have a paper accepted to BMVC 2016!

 

Research

Gated Feedback Refinement Network for Dense Image Labeling
Md Amirul Islam, Mrigank Rochan, Neil Bruce, and Yang Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[paper] [code]

Person Re-Identification by Localizing Discriminative Regions
Tanzila Rahman, Mrigank Rochan, and Yang Wang
British Machine Vision Conference (BMVC), 2017.
[paper]

Adapting Object Detectors from Images to Weakly Labeled Videos
Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, and Yang Wang
British Machine Vision Conference (BMVC), 2017.
[paper] [code]

Salient Object Detection using a Context-Aware Refinement Network
Md Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil Bruce, and Yang Wang
British Machine Vision Conference (BMVC), 2017.
[paper]

Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Md Amirul Islam, Shujon Naha, Mrigank Rochan, Neil Bruce, and Yang Wang
arXiv preprint arXiv:1606.07415, 2017.
[paper]

Attention Networks for Weakly Supervised Object Localization
Eu Wern Teh, Mrigank Rochan, and Yang Wang
British Machine Vision Conference (BMVC), 2016.
[paper]

Weakly Supervised Object Localization and Segmentation in Videos
Mrigank Rochan and Yang Wang
Image and Vision Computing (IMAVIS), 2016.
[paper]

Weakly Supervised Localization of Novel Objects using Appearance Transfer
Mrigank Rochan and Yang Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
[paper]

Latent SVM for Object Localization in Weakly Labeled Videos
Mrigank Rochan and Yang Wang
Canadian Conference on Computer and Robot Vision (CRV), 2015.
[paper]

Efficient Object Localization and Segmentation in Weakly Labeled Videos
Mrigank Rochan and Yang Wang
International Symposium on Visual Computing (ISVC), 2014.
Oral Presentation
[paper]

Segmenting Objects in Weakly Labeled Videos
Mrigank Rochan, Shafin Rahman, Neil Bruce, and Yang Wang
Canadian Conference on Computer and Robot Vision (CRV), 2014.
Oral Presentation
[paper][demo video]

Examining Visual Saliency Prediction in Naturalistic Scenes
Shafin Rahman, Mrigank Rochan, Yang Wang, and Neil Bruce
IEEE International Conference on Image Processing (ICIP), 2014.
Oral Presentation
[paper]

Imitation is the sincerest form of flattery!