Vivek Sharma

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 53

Top Topics

Vertical Partitioning

Image Enhancement

Weakly Supervised

Action Classification

Top Venues

Publications

Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS (2023)
Ali Diba, Vivek Sharma, Mohammad Mahdi Arzani, Luc Van Gool
Spatio-Temporal Convolution-Attention Video Network. ICCV (Workshops) (2023)
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
Learning to Censor by Noisy Sampling. CoRR (2022)
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
Learning to Censor by Noisy Sampling. ECCV (13) (2022)
Chris Clifton, Bradley A. Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. CoRR (2022)
Tzofi Klinghoffer, Kushagra Tiwary, Arkadiusz Balata, Vivek Sharma, Ramesh Raskar
Physically Disentangled Representations. CoRR (2022)
Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR (2022)
Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. ECCV (13) (2022)
Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool
CLR: Video and Image for Visual Contrastive Learning of Representation. ICCV (2021)
Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR (2021)
M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR (2021)
M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR (2021)
Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. CoRR (2021)
Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV (2021)
Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. CoRR (2021)
Vivek Sharma, Makarand Tapaswi, Rainer Stiefelhagen
Deep Multimodal Feature Encoding for Video Ordering. CoRR (2020)
Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar
Digital Landscape of COVID-19 Testing: Challenges and Opportunities. CoRR (2020)
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
Clustering based Contrastive Learning for Improving Face Representations. CoRR (2020)
Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma
Comparing manual contact tracing and digital contact advice. CoRR (2020)
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
Clustering based Contrastive Learning for Improving Face Representations. FG (2020)
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
Video Face Clustering With Self-Supervised Representation Learning. IEEE Trans. Biom. Behav. Identity Sci. 2 (2) (2020)
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool
Large Scale Holistic Video Understanding. ECCV (5) (2020)
Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar
SplitNN-driven Vertical Partitioning. CoRR (2020)
Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks. CoRR (2020)
Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. CVPR Workshops (2019)
Veith Röthlingshöfer, Vivek Sharma, Rainer Stiefelhagen
Self-supervised Face-Grouping on Graphs. ACM Multimedia (2019)
M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
Efficient Parameter-Free Clustering Using First Neighbor Relations. CVPR (2019)
Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen
DynamoNet: Dynamic Action and Motion Network. ICCV (2019)
M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
Efficient Parameter-free Clustering Using First Neighbor Relations. CoRR (2019)
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
Self-Supervised Learning of Face Representations for Video Face Clustering. FG (2019)
Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen
DynamoNet: Dynamic Action and Motion Network. CoRR (2019)
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
Self-Supervised Learning of Face Representations for Video Face Clustering. CoRR (2019)
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. CoRR (2019)
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. CoRR (2019)
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool
Holistic Large Scale Video Understanding. CoRR (2019)
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool
Spatio-temporal Channel Correlation Networks for Action Classification. ECCV (4) (2018)
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool
Temporal 3D ConvNets Using Temporal Transition Layer. CVPR Workshops (2018)
Congcong Wang, Vivek Sharma, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, Rainer Stiefelhagen
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? CIC (2018)
Congcong Wang, Vivek Sharma, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, Rainer Stiefelhagen
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? CoRR (2018)
Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen
Classification-Driven Dynamic Image Enhancement. CVPR (2018)
Hervé Bredin, Benjamin Maurice, Ruiqing Yin, Camille Guinaudeau, Aman Behre, Claude Barras, Vivek Sharma, M. Saquib Sarfraz
PLUMCOT at TRECVid Instance Search 2018. TRECVID (2018)
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool
Spatio-Temporal Channel Correlation Networks for Action Classification. CoRR (2018)
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. CoRR (2017)
Ali Diba, Vivek Sharma, Luc Van Gool
Deep Temporal Linear Encoding Networks. CVPR (2017)
Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen
Classification Driven Dynamic Image Enhancement. CoRR (2017)
Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool
Object Discovery By Generative Adversarial & Ranking Networks. CoRR (2017)
Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
Weakly Supervised Cascaded Convolutional Networks. CVPR (2017)
Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool
Low-cost scene modeling using a density function improves segmentation performance. RO-MAN (2016)
Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance. CoRR (2016)
Vivek Sharma, Luc Van Gool
Does V-NIR based Image Enhancement Come with Better Features? CoRR (2016)
Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
Weakly Supervised Cascaded Convolutional Networks. CoRR (2016)
Vivek Sharma, Luc Van Gool
Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition. CoRR (2016)
Ali Diba, Vivek Sharma, Luc Van Gool
Deep Temporal Linear Encoding Networks. CoRR (2016)
Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Luc Van Gool
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain. MLIS@ICML (2015)
Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Ali Shariq Imran, Heinz Wörn
How to Tune a Random Forest for Real-time Segmentation in Safe Human-Robot Collaboration? HCI (27) (2015)