Vivek Sharma

2022

	Chris Clifton, Bradley Malin, Anna Oganian, Ramesh Raskar and Vivek Sharma A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report The workshop was supported by the National Science Foundation (NSF) and National Institute ofStandards and Technologies (NIST), and the White House Office of Science and Technology Policy. PDF, arXiv link, WWW
	Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma and Ramesh Raskar Decouple-and-Sample: Protecting sensitive information in task agnostic data release To appear at European Conference on Computer Vision (ECCV). PDF, arXiv link
	Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma and Ramesh Raskar Learning to Censor by Noisy Sampling To appear at European Conference on Computer Vision (ECCV). PDF, arXiv link
	Abhishek Singh, Praneeth Vepakomma, Vivek Sharma and Ramesh Raskar Formal Privacy Guarantees for Neural Network queries by estimating local Lipschitz constant To appear at ICML Workshop on Formal Verification of Machine Learning. PDF, arXiv link
	Tzofi Klinghoffer, Kushagra Tiwary, Arkadiusz Balata, Vivek Sharma and Ramesh Raskar Physically Disentangled Representations To appear at ECCV workshop on Visual Object-oriented Learning meets Interaction: Discovery, Representations, and Applications. PDF, arXiv link

2021

	Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, and Luc Van Gool Vi2CLR: Video and Image for Visual Contrastive Learning of Representation In International Conference on Computer Vision (ICCV). PDF
	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 In 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 In 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 In 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 In 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 In 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 In 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 In 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