2021



Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma and Ramesh Raskar
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
To appear at Computer Vision and Pattern Recognition (CVPR).
PDF, arXiv link


M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool and Rainer Stiefelhagen
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
To appear at Computer Vision and Pattern Recognition (CVPR).
PDF, arXiv link, Codes


Abhishek Singh, Vivek Sharma, Ayush Chopra , Praneeth Vepakomma and Ramesh Raskar
Dynamic Channel Pruning for Privacy
NeurIPS Workshop on Privacy Preserving Machine Learning
PDF


Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen and Gabriela Csurka
Unsupervised Meta-Domain Adaptation for Fashion Retrieval
IEEE Winter Conference on Applications of Computer Vision (WACV).
PDF, arXiv link, Codes

2020



Ramesh Raskar, Dr. Ranu Dhillon, Dr. Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, and Vivek Sharma
Comparing manual contact tracing and digital contact advice
PDF, arXiv link


Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, and Ramesh Raskar
SplitNN-driven Vertical Partitioning
PDF, arXiv link, Codes


Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, and Rainer Stiefelhagen
Clustering based Contrastive Learning for Improving Face Representations
IEEE International Conference on Automatic Face and Gesture Recognition (FG).
PDF, arXiv link, Dataset


Vivek Sharma*, Ali Diba*, Mohsen Fayyaz*, Manohar Paluri, Juergen Gall, Rainer Stiefelhagen and Luc Van Gool
Holistic Large Scale Video Understanding
*denotes equal contribution and not listed in alphabetical order
European Conference on Computer Vision (ECCV).
PDF, Project Page

2019



Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, and Ramesh Raskar
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
To appear at NeurIPS Workshop on Machine learning for the Developing World (ML4D).
PDF, arXiv link,


Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, and Ramesh Raskar
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations
To appear at NeurIPS Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy.
PDF, arXiv link,


Vivek Sharma*, Ali Diba*, Luc Van Gool, and Rainer Stiefelhagen
DynamoNet: Dynamic Action and Motion Network
To appear at International Conference on Computer Vision (ICCV).
*denotes equal contribution and not listed in alphabetical order
PDF, arXiv link, Oral


Vivek Sharma, Makarand Tapaswi, and Rainer Stiefelhagen
Deep Multimodal Feature Encoding for Video Ordering
To appear at International Conference on Computer Vision (ICCV) Workshop on Large Scale Holistic Video Understanding.
PDF, arXiv link, Oral, Codes and Dataset


Veith Roethlingshoefer*, Vivek Sharma*, and Rainer Stiefelhagen
Self-Supervised Face-Grouping on Graph
To appear at ACM Multimedia (ACMMM).
PDF, Oral, Codes, Dataset


M. Saquib Sarfraz, Vivek Sharma, and Rainer Stiefelhagen
Efficient Parameter-free Clustering Using First Neighbor Relations
Computer Vision and Pattern Recognition (CVPR).
PDF Oral, Codes


Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, and Rainer Stiefelhagen
Video Face Clustering with Self-Supervised Representation Learning
IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM).
PDF, arXiv link, Oral, Codes, Dataset


Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, and Rainer Stiefelhagen
Self-Supervised Learning of Face Representations for Video Face Clustering
IEEE International Conference on Automatic Face and Gesture Recognition (FG).
Best Paper Award.
PDF, arXiv link, Oral, Codes, Dataset


Ali Diba*, Vivek Sharma*, Rainer Stiefelhagen and Luc Van Gool
Weakly Supervised Object Discovery By Generative Adversarial and Ranking Networks
Computer Vision and Pattern Recognition (CVPR) Workshop: Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL).
*denotes equal contribution and not listed in alphabetical order
PDF, arXiv link

2018



Vivek Sharma*, Congcong Wang*, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, and Rainer Stiefelhagen
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?
Color and Imaging Conference (CIC 26)
*denotes equal contribution and not listed in alphabetical order
PDF, arXiv link, Oral


Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall and Luc Van Gool
Spatio-Temporal Channel Correlation Networks for Action Classification
European Conference on Computer Vision (ECCV)
PDF, arXiv link


Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, and Rainer Stiefelhagen
Classification Driven Dynamic Image Enhancement
Computer Vision and Pattern Recognition (CVPR)
PDF, arXiv link


Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, and Luc Van Gool
Temporal 3D ConvNets using Temporal Transition Layer
Computer Vision and Pattern Recognition (CVPR) Workshop: Brave New Ideas for Video Understanding
PDF, arXiv link, Oral
Vivek Sharma and Şule Yildirim-Yayilgan
Real-time Holistic Scene Understanding using Single Depth Images for Safe Human-Robot Collaboration
Under Review
PDF, arXiv link

2017



Vivek Sharma, Jon Yngve Hardeberg, and Sony George
RGB-NIR Image Enhancement by Fusing Bilateral and Weighted Least Squares Filters
(a) Journal of Imaging Science and Technology (JIST), and (b) Color and Imaging Conference (CIC 25)
PDF, RG link, Codes


Vivek Sharma*, Ali Diba*, and Luc Van Gool
Deep Temporal Linear Encoding Networks
*denotes equal contribution and not listed in alphabetical order
Computer Vision and Pattern Recognition (CVPR)
PDF, arXiv link Codes


Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash and Luc Van Gool
Weakly Supervised Cascaded Convolutional Networks
Computer Vision and Pattern Recognition (CVPR)
PDF, arXiv link


Vivek Sharma, M. Saquib Sarfraz, and Rainer Stiefelhagen
A Simple and Effective Technique for Face Clustering in TV Series
Computer Vision and Pattern Recognition (CVPR) Workshop: Brave New Motion Representations
PDF Dataset

2016



Vivek Sharma and Luc Van Gool
Does V-NIR based Image Enhancement Come with Better Features?
CoRR abs/1608.06521
PDF, arXiv link

Vivek Sharma, Ali Diba, Tinne Tuytelaars, and Luc Van Gool
Hyperspectral CNN for Image Classification & Band Selection, with Application to Face Recognition
PDF, Codes
Vivek Sharma and Luc Van Gool
Image-Level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition
CoRR abs/1605.03428
PDF, arXiv link
Vivek Sharma, Şule Yildirim-Yayilgan, and Luc Van Gool
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance
In proceedings of IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
PDF, arXiv link, Oral

2015

Vivek Sharma, Frank Dittrich, Şule Yildirim-Yayilgan, and Luc Van Gool
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain
In Proceedings of JMLR W&CP, Volume 43. International Conference on Machine Learning (ICML) Workshops.
PDF, Oral
Vivek Sharma, Frank Dittrich, Şule Yildirim-Yayilgan, and Luc Van Gool
Improving Human Pose Recognition Accuracy using CRF modeling
In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
PDF, Poster
Vivek Sharma, Frank Dittrich, Şule Yildirim-Yayilgan, Ali Shariq Imran and Heinz Wörn
How to tune a Random Forest for Real-Time Segmentation in Safe Human-Robot Collaboration?
In Proceedings of International Conference on Human-Computer Interaction (HCI).
PDF, Poster
Vivek Sharma, Frank Dittrich, Şule Yildirim-Yayilgan, and Heinz Wörn
How does Energy Minimization Improve Recognizing Human Poses for Safe Human-Robot Collaboration?
International Conference on Energy Minimization Methods in Com- puter Vision and Pattern Recognition (EMMCVPR).
Poster

2014

Frank Dittrich, Vivek Sharma, Heinz Wörn and Şule Yildirim-Yayilgan
Pixelwise Object Class Segmentation based on Synthetic Data using an Optimized Training Strategy
In Proceedings of IEEE International Conference on Networks & Soft Computing (ICNSC'14).
PDF, Oral