Mrigank Rochan


Email: mrochan@cs.umanitoba.ca
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About Me

I recently completed my Ph.D. in Computer Science at the University of Manitoba, where I was 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 a visiting research student at Simon Fraser University in 2015-2016. I also did a research internship at Mapillary (acquired by Facebook) in 2018-2019.

News


Selected Publications

Joint Visual and Audio Learning for Video Highlight Detection
Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, and Li Cheng
IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
[paper]

Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network
Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, and Yang Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
[arXiv] [code]

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
Mahesh Kumar, Mrigank Rochan, Yiwei Lu, and Yang Wang
IEEE Transactions on Multimedia (TMM), 2021.
[arXiv] [code]

Efficient Deep Learning Models for Video Abstraction
Mrigank Rochan
Ph.D. Thesis, University of Manitoba, 2020.
CIPPRS John Barron Doctoral Dissertation Award 2020
[link]

Adaptive Video Highlight Detection by Learning from User History
Mrigank Rochan, Mahesh Kumar, Linwei Ye, and Yang Wang
European Conference on Computer Vision (ECCV), 2020.
[arXiv] [code]

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation
Mrigank Rochan, Mahesh Kumar, and Yang Wang
British Machine Vision Conference (BMVC), 2020.
[arXiv]

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar, Md Hossain, Mrigank Rochan and Yang Wang
IEEE Winter Conference of Applications on Computer Vision (WACV), 2020.
[arXiv] [code]

Video Summarization by Learning from Unpaired Data
Mrigank Rochan and Yang Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[arXiv]

Cross-Modal Self-Attention Network for Referring Image Segmentation
Linwei Ye, Mrigank Rochan, Zhi Liu, and Yang Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[arXiv] [code]

Convolutional Temporal Attention Model for Video-based Person Re-identification
Tanzila Rahman, Mrigank Rochan, and Yang Wang
IEEE International Conference on Multimedia and Expo (ICME), 2019.
[arXiv]

Video Summarization Using Fully Convolutional Sequence Networks
Mrigank Rochan, Linwei Ye, and Yang Wang
European Conference on Computer Vision (ECCV), 2018.
[paper] [arXiv]

Future Semantic Segmentation with Convolutional LSTM
Seyed Nabavi, Mrigank Rochan, and Yang Wang
British Machine Vision Conference (BMVC), 2018.
[arXiv]

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] [extended version] [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.
[arXiv]

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

Object Localization in Weakly Labeled Images and Videos
Mrigank Rochan
M.Sc. Thesis, University of Manitoba, 2016.
[link]

Weakly Supervised Object Localization and Segmentation in Videos
Mrigank Rochan and Yang Wang
Image and Vision Computing (IVC), 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]


See Google Scholar for full publication list

Imitation is the sincerest form of flattery!