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ORCIDVivek Sharma 0001
Person information
- affiliation: Karlsruhe Institute of Technology (KIT), CV:HCI, Germany
- affiliation: Massachusetts Institute of Technology (MIT), Media Lab, Cambridge, MA, USA
Other persons with the same name
- Vivek Sharma — disambiguation page
- Vivek Sharma 0002
![[0000-0002-4738-4983]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4738-4983")
— National Institute of Technology, Department of Electronics and Communications Engineering, Goa, India - Vivek Sharma 0003 — Macquarie University, School of Engineering, Sydney, Australia
- Vivek Sharma 0004 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
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2020 – today
- 2023
[c25]Ali Diba, Vivek Sharma, Mohammad Mahdi Arzani, Luc Van Gool:
Spatio-Temporal Convolution-Attention Video Network. ICCV (Workshops) 2023: 859-869- [c24]Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS 2023 - 2022
- [c23]Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar:
Learning to Censor by Noisy Sampling. ECCV (13) 2022: 378-395 - [c22]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: 499-517 - [i29]Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar:
Learning to Censor by Noisy Sampling. CoRR abs/2203.12192 (2022) - [i28]Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR abs/2203.13204 (2022) - [i27]Tzofi Klinghoffer, Kushagra Tiwary, Arkadiusz Balata, Vivek Sharma, Ramesh Raskar:
Physically Disentangled Representations. CoRR abs/2204.05281 (2022) - [i26]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 abs/2208.01636 (2022) - 2021
- [c21]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234 - [c20]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: 12125-12135 - [c19]Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool:
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation. ICCV 2021: 1482-1492 - [c18]Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka:
Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV 2021: 1347-1356 - [i25]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 abs/2101.01693 (2021) - [i24]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR abs/2103.11264 (2021) - [i23]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 abs/2112.01637 (2021) - 2020
- [b1]Vivek Sharma:
Self-supervised Face Representation Learning. Karlsruhe Institute of Technology, Germany, 2020 - [j1]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): 145-157 (2020) - [c17]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Large Scale Holistic Video Understanding. ECCV (5) 2020: 593-610 - [c16]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Clustering based Contrastive Learning for Improving Face Representations. FG 2020: 109-116 - [i22]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Clustering based Contrastive Learning for Improving Face Representations. CoRR abs/2004.02195 (2020) - [i21]Vivek Sharma, Makarand Tapaswi, Rainer Stiefelhagen:
Deep Multimodal Feature Encoding for Video Ordering. CoRR abs/2004.02205 (2020) - [i20]Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar:
SplitNN-driven Vertical Partitioning. CoRR abs/2008.04137 (2020) - [i19]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 abs/2008.07325 (2020) - [i18]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 abs/2012.01772 (2020) - [i17]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 abs/2012.11025 (2020)
2010 – 2019
- 2019
- [c15]Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. CVPR Workshops 2019: 601-610 - [c14]M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen:
Efficient Parameter-Free Clustering Using First Neighbor Relations. CVPR 2019: 8934-8943 - [c13]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Self-Supervised Learning of Face Representations for Video Face Clustering. FG 2019: 1-8 - [c12]Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen:
DynamoNet: Dynamic Action and Motion Network. ICCV 2019: 6191-6200 - [c11]Veith Röthlingshöfer, Vivek Sharma, Rainer Stiefelhagen:
Self-supervised Face-Grouping on Graphs. ACM Multimedia 2019: 247-256 - [i16]M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen:
Efficient Parameter-free Clustering Using First Neighbor Relations. CoRR abs/1902.11266 (2019) - [i15]Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Self-Supervised Learning of Face Representations for Video Face Clustering. CoRR abs/1903.01000 (2019) - [i14]Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen:
DynamoNet: Dynamic Action and Motion Network. CoRR abs/1904.11407 (2019) - [i13]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Holistic Large Scale Video Understanding. CoRR abs/1904.11451 (2019) - [i12]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 abs/1910.02312 (2019) - [i11]Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar:
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. CoRR abs/1910.03731 (2019) - 2018
- [c10]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: 1117-1121 - [c9]Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification-Driven Dynamic Image Enhancement. CVPR 2018: 4033-4041 - [c8]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: 299-315 - [c7]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: 163-168 - [c6]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 - [i10]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 abs/1806.07754 (2018) - [i9]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 abs/1812.10784 (2018) - 2017
- [c5]Ali Diba, Vivek Sharma, Luc Van Gool:
Deep Temporal Linear Encoding Networks. CVPR 2017: 1541-1550 - [c4]Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CVPR 2017: 5131-5139 - [i8]Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification Driven Dynamic Image Enhancement. CoRR abs/1710.07558 (2017) - [i7]Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Object Discovery By Generative Adversarial & Ranking Networks. CoRR abs/1711.08174 (2017) - [i6]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 abs/1711.08200 (2017) - 2016
- [c3]Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool:
Low-cost scene modeling using a density function improves segmentation performance. RO-MAN 2016: 77-84 - [i5]Vivek Sharma, Luc Van Gool:
Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition. CoRR abs/1605.03428 (2016) - [i4]Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool:
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance. CoRR abs/1605.08464 (2016) - [i3]Vivek Sharma, Luc Van Gool:
Does V-NIR based Image Enhancement Come with Better Features? CoRR abs/1608.06521 (2016) - [i2]Ali Diba, Vivek Sharma, Luc Van Gool:
Deep Temporal Linear Encoding Networks. CoRR abs/1611.06678 (2016) - [i1]Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CoRR abs/1611.08258 (2016) - 2015
- [c2]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: 700-704 - [c1]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: 6-14
Coauthor Index
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