Vivek Sharma - RankMe

67 papers A* 15A 1B 3Journal 35Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Argus: A Compact and Versatile Foundation Model for Vision. CVPR Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu
2024	J	`jnl`	Bridging the Data Provenance Gap Across Text, Speech and Video. CoRR Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad A. Alghamdi, Vu Minh Chien, Naana Obeng-Marnu, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, Deividas Mataciunas, Tobin South, Jianguo Zhang, Ariel Lee, Campbell Lund, Christopher Klamm, Damien Sileo, Diganta Misra, Enrico Shippole, Kevin Klyman, Lester JV Miranda, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Vipul Gupta, Vivek Sharma, Xuhui Zhou, Caiming Xiong, Luis Villa, Stella Biderman, Alex Pentland, Sara Hooker, Jad Kabbara
2024	A*	`conf`	Consent in Crisis: The Rapid Decline of the AI Data Commons. NeurIPS Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Shamiso Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kushagra Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Minh Chien Vu, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Alex Pentland
2024	J	`jnl`	Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland
2024	A*	`conf`	DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release. NeurIPS Farzaneh Askari, Lingjuan Lyu, Vivek Sharma
2024	J	`jnl`	Masked Differential Privacy. CoRR David Schneider, Sina Sajadmanesh, Vikash Sehwag, M. Saquib Sarfraz, Rainer Stiefelhagen, Lingjuan Lyu, Vivek Sharma
2024	A*	`conf`	PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR. ICML Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma
2024	J	`jnl`	Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data. CoRR Kartik Patwari, David Schneider, Xiaoxiao Sun, Chen-Nee Chuah, Lingjuan Lyu, Vivek Sharma
2024	—	`conf`	SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. ECCV (76) Abhishek Singh, Vivek Sharma, Rohan Sukumaran, John Mose, Jeffrey Chiu, Justin Yu, Ramesh Raskar
2023	A*	`conf`	Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2023	A*	`conf`	Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
2023	J	`jnl`	Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? CoRR Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
2023	—	`conf`	Spatio-Temporal Convolution-Attention Video Network. ICCV (Workshops) Ali Diba, Vivek Sharma, Mohammad Mahdi Arzani, Luc Van Gool
2022	J	`jnl`	A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. CoRR Chris Clifton, Bradley A. Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma
2022	—	`conf`	Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. ECCV (13) Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	—	`conf`	Learning to Censor by Noisy Sampling. ECCV (13) Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Learning to Censor by Noisy Sampling. CoRR Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Physically Disentangled Representations. CoRR Tzofi Klinghoffer, Kushagra Tiwary, Arkadiusz Balata, Vivek Sharma, Ramesh Raskar
2021	J	`jnl`	AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. CoRR Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2021	J	`jnl`	COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. CoRR 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
2021	A*	`conf`	DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2021	A*	`conf`	Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
2021	J	`jnl`	Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen
2021	A	`conf`	Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
2021	A*	`conf`	Vi ICCV Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool
2020	B	`conf`	Clustering based Contrastive Learning for Improving Face Representations. FG Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
2020	J	`jnl`	Clustering based Contrastive Learning for Improving Face Representations. CoRR Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
2020	J	`jnl`	Comparing manual contact tracing and digital contact advice. CoRR Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma
2020	J	`jnl`	DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks. CoRR Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
2020	J	`jnl`	Deep Multimodal Feature Encoding for Video Ordering. CoRR Vivek Sharma, Makarand Tapaswi, Rainer Stiefelhagen
2020	J	`jnl`	Digital Landscape of COVID-19 Testing: Challenges and Opportunities. CoRR 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
2020	—	`conf`	Large Scale Holistic Video Understanding. ECCV (5) Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool
2020	—	`—`	Self-supervised Face Representation Learning. Vivek Sharma
2020	J	`jnl`	SplitNN-driven Vertical Partitioning. CoRR Iker Ceballos, Vivek Sharma, Eduardo Mugica, Abhishek Singh, Alberto Roman, Praneeth Vepakomma, Ramesh Raskar
2020	J	`jnl`	Video Face Clustering With Self-Supervised Representation Learning. IEEE Trans. Biom. Behav. Identity Sci. Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
2019	A*	`conf`	DynamoNet: Dynamic Action and Motion Network. ICCV Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen
2019	J	`jnl`	DynamoNet: Dynamic Action and Motion Network. CoRR Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen
2019	A*	`conf`	Efficient Parameter-Free Clustering Using First Neighbor Relations. CVPR M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
2019	J	`jnl`	Efficient Parameter-free Clustering Using First Neighbor Relations. CoRR M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
2019	J	`jnl`	ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. CoRR Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
2019	J	`jnl`	ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. CoRR Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
2019	J	`jnl`	Holistic Large Scale Video Understanding. CoRR Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool
2019	B	`conf`	Self-Supervised Learning of Face Representations for Video Face Clustering. FG Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
2019	J	`jnl`	Self-Supervised Learning of Face Representations for Video Face Clustering. CoRR Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
2019	A*	`conf`	Self-supervised Face-Grouping on Graphs. ACM Multimedia Veith Röthlingshöfer, Vivek Sharma, Rainer Stiefelhagen
2019	—	`conf`	Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. CVPR Workshops Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool
2018	—	`conf`	Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? CIC Congcong Wang, Vivek Sharma, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, Rainer Stiefelhagen
2018	J	`jnl`	Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? CoRR Congcong Wang, Vivek Sharma, Yu Fan, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle, Rainer Stiefelhagen
2018	A*	`conf`	Classification-Driven Dynamic Image Enhancement. CVPR Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen
2018	—	`conf`	PLUMCOT at TRECVid Instance Search 2018. TRECVID Hervé Bredin, Benjamin Maurice, Ruiqing Yin, Camille Guinaudeau, Aman Behre, Claude Barras, Vivek Sharma, M. Saquib Sarfraz
2018	J	`jnl`	Spatio-Temporal Channel Correlation Networks for Action Classification. CoRR Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool
2018	—	`conf`	Spatio-temporal Channel Correlation Networks for Action Classification. ECCV (4) Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool
2018	—	`conf`	Temporal 3D ConvNets Using Temporal Transition Layer. CVPR Workshops Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool
2017	J	`jnl`	Classification Driven Dynamic Image Enhancement. CoRR Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen
2017	A*	`conf`	Deep Temporal Linear Encoding Networks. CVPR Ali Diba, Vivek Sharma, Luc Van Gool
2017	J	`jnl`	Object Discovery By Generative Adversarial & Ranking Networks. CoRR Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool
2017	J	`jnl`	Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. CoRR Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool
2017	A*	`conf`	Weakly Supervised Cascaded Convolutional Networks. CVPR Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
2016	J	`jnl`	Deep Temporal Linear Encoding Networks. CoRR Ali Diba, Vivek Sharma, Luc Van Gool
2016	J	`jnl`	Does V-NIR based Image Enhancement Come with Better Features? CoRR Vivek Sharma, Luc Van Gool
2016	J	`jnl`	Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition. CoRR Vivek Sharma, Luc Van Gool
2016	J	`jnl`	Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance. CoRR Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool
2016	B	`conf`	Low-cost scene modeling using a density function improves segmentation performance. RO-MAN Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool
2016	J	`jnl`	Weakly Supervised Cascaded Convolutional Networks. CoRR Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
2015	—	`conf`	Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain. MLIS@ICML Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Luc Van Gool
2015	—	`conf`	How to Tune a Random Forest for Real-time Segmentation in Safe Human-Robot Collaboration? HCI (27) Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Ali Shariq Imran, Heinz Wörn