How to Tune a Random Forest for Real-time Segmentation in Safe Human-Robot Collaboration? - Vivek Sharma 001; Frank Dittrich; Sule Yildirim Yayilgan; Ali Shariq Imran; Heinz Wörn (HCI (27), 2015)

Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain. - Vivek Sharma 001; Frank Dittrich; Sule Yildirim Yayilgan; Luc Van Gool (MLIS@ICML, 2015)

Low-cost scene modeling using a density function improves segmentation performance. - Vivek Sharma 001; Sule Yildirim Yayilgan; Luc Van Gool (RO-MAN, 2016)

Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition. - Vivek Sharma 001; Luc Van Gool (CoRR, 2016)

Does V-NIR based Image Enhancement Come with Better Features? - Vivek Sharma 001; Luc Van Gool (CoRR, 2016)

Deep Temporal Linear Encoding Networks. - Ali Diba; Vivek Sharma 001; Luc Van Gool (CVPR, 2017)

Weakly Supervised Cascaded Convolutional Networks. - Ali Diba; Vivek Sharma 001; Ali Mohammad Pazandeh; Hamed Pirsiavash; Luc Van Gool (CVPR, 2017)

Object Discovery By Generative Adversarial & Ranking Networks. - Ali Diba; Vivek Sharma 001; Rainer Stiefelhagen; Luc Van Gool (CoRR, 2017)

Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Amir Hossein Karami; Mohammad Mahdi Arzani; Rahman Yousefzadeh; Luc Van Gool (CoRR, 2017)

Temporal 3D ConvNets Using Temporal Transition Layer. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Amir Hossein Karami; Mohammad Mahdi Arzani; Rahman Yousefzadeh; Luc Van Gool (CVPR Workshops, 2018)

Classification-Driven Dynamic Image Enhancement. - Vivek Sharma 001; Ali Diba; Davy Neven; Michael S. Brown; Luc Van Gool; Rainer Stiefelhagen (CVPR, 2018)

Spatio-temporal Channel Correlation Networks for Action Classification. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Mohammad Mahdi Arzani; Rahman Yousefzadeh; Juergen Gall; Luc Van Gool (ECCV (4), 2018)

Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery? - Congcong Wang; Vivek Sharma 001; Yu Fan 001; Faouzi Alaya Cheikh; Azeddine Beghdadi; Ole Jacob Elle; Rainer Stiefelhagen (CIC, 2018)

PLUMCOT at TRECVid Instance Search 2018. - Hervé Bredin; Benjamin Maurice; Ruiqing Yin; Camille Guinaudeau; Aman Behre; Claude Barras; Vivek Sharma 001; M. Saquib Sarfraz (TRECVID, 2018)

Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. - Ali Diba; Vivek Sharma 001; Rainer Stiefelhagen; Luc Van Gool (CVPR Workshops, 2019)

Efficient Parameter-Free Clustering Using First Neighbor Relations. - M. Saquib Sarfraz; Vivek Sharma 001; Rainer Stiefelhagen (CVPR, 2019)

Self-Supervised Learning of Face Representations for Video Face Clustering. - Vivek Sharma 001; Makarand Tapaswi; M. Saquib Sarfraz; Rainer Stiefelhagen (FG, 2019)

DynamoNet: Dynamic Action and Motion Network. - Ali Diba; Vivek Sharma 001; Luc Van Gool; Rainer Stiefelhagen (ICCV, 2019)

Self-supervised Face-Grouping on Graphs. - Veith Röthlingshöfer; Vivek Sharma 001; Rainer Stiefelhagen (ACM Multimedia, 2019)

Holistic Large Scale Video Understanding. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Manohar Paluri; Jürgen Gall; Rainer Stiefelhagen; Luc Van Gool (CoRR, 2019)

ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. - Vivek Sharma 001; Praneeth Vepakomma; Tristan Swedish; Ken Chang; Jayashree Kalpathy-Cramer; Ramesh Raskar (CoRR, 2019)

ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. - Vivek Sharma 001; Praneeth Vepakomma; Tristan Swedish; Ken Chang; Jayashree Kalpathy-Cramer; Ramesh Raskar (CoRR, 2019)

Large Scale Holistic Video Understanding. - Ali Diba; Mohsen Fayyaz; Vivek Sharma 001; Manohar Paluri; Jürgen Gall; Rainer Stiefelhagen; Luc Van Gool (ECCV (5), 2020)

Clustering based Contrastive Learning for Improving Face Representations. - Vivek Sharma 001; Makarand Tapaswi; M. Saquib Sarfraz; Rainer Stiefelhagen (FG, 2020)

Deep Multimodal Feature Encoding for Video Ordering. - Vivek Sharma 001; Makarand Tapaswi; Rainer Stiefelhagen (CoRR, 2020)

SplitNN-driven Vertical Partitioning. - Iker Ceballos; Vivek Sharma 001; Eduardo Mugica; Abhishek Singh 005; Alberto Roman; Praneeth Vepakomma; Ramesh Raskar (CoRR, 2020)

Comparing manual contact tracing and digital contact advice. - Ramesh Raskar; Ranu Dhillon; Suraj Kapa; Deepti Pahwa; Renaud Falgas; Lagnojita Sinha; Aarathi Prasad; Abhishek Singh 005; Andrea Nuzzo; Rohan Iyer; Vivek Sharma 001 (CoRR, 2020)

Digital Landscape of COVID-19 Testing: Challenges and Opportunities. - 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; et al. (CoRR, 2020)

Video Face Clustering With Self-Supervised Representation Learning. - Vivek Sharma 001; Makarand Tapaswi; M. Saquib Sarfraz; Rainer Stiefelhagen (IEEE Trans. Biom. Behav. Identity Sci., 2020)

Self-supervised Face Representation Learning. - Vivek Sharma 001 (2020)

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. - Abhishek Singh 005; Ayush Chopra; Ethan Garza; Emily Zhang; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (CVPR, 2021)

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. - M. Saquib Sarfraz; Naila Murray; Vivek Sharma 001; Ali Diba; Luc Van Gool; Rainer Stiefelhagen (CVPR, 2021)

Vi2CLR: Video and Image for Visual Contrastive Learning of Representation. - Ali Diba; Vivek Sharma 001; Reza Safdari; Dariush Lotfi; M. Saquib Sarfraz; Rainer Stiefelhagen; Luc Van Gool (ICCV, 2021)

Unsupervised Meta-Domain Adaptation for Fashion Retrieval. - Vivek Sharma 001; Naila Murray; Diane Larlus; M. Saquib Sarfraz; Rainer Stiefelhagen; Gabriela Csurka (WACV, 2021)

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. - Manuel Morales; Rachel Barbar; Darshan Gandhi; Sanskruti Landage; Joseph Bae; Arpita Vats; Jil Kothari; Sheshank Shankar; Rohan Sukumaran; Himi Mathur; Krutika Misra; Aishwarya Saxena; et al. (CoRR, 2021)

AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. - Ayush Chopra; Surya Kant Sahu; Abhishek Singh 005; Abhinav Java; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (CoRR, 2021)

Learning to Censor by Noisy Sampling. - Ayush Chopra; Abhinav Java; Abhishek Singh 005; Vivek Sharma 001; Ramesh Raskar (ECCV (13), 2022)

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. - Abhishek Singh 005; Ethan Garza; Ayush Chopra; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (ECCV (13), 2022)

Physically Disentangled Representations. - Tzofi Klinghoffer; Kushagra Tiwary; Arkadiusz Balata; Vivek Sharma 001; Ramesh Raskar (CoRR, 2022)

A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. - Chris Clifton; Bradley A. Malin; Anna Oganian; Ramesh Raskar; Vivek Sharma 001 (CoRR, 2022)

Spatio-Temporal Convolution-Attention Video Network. - Ali Diba; Vivek Sharma 001; Mohammad Mahdi Arzani; Luc Van Gool (ICCV (Workshops), 2023)

Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. - Abhishek Singh 005; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (NeurIPS, 2023)

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? - Xiaoxiao Sun 002; Nidham Gazagnadou; Vivek Sharma 001; Lingjuan Lyu; Hongdong Li; Liang Zheng 001 (NeurIPS, 2023)

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks. - Abhishek Singh 005; Vivek Sharma 001; Rohan Sukumaran; John Mose; Jeffrey Chiu; Justin Yu; Ramesh Raskar (ECCV (76), 2024)

PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR. - Kartik Patwari; Chen-Nee Chuah; Lingjuan Lyu; Vivek Sharma 001 (ICML, 2024)

DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release. - Farzaneh Askari; Lingjuan Lyu; Vivek Sharma 001 (NeurIPS, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - 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; et al. (NeurIPS, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - 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; et al. (CoRR, 2024)

Masked Differential Privacy. - David Schneider 006; Sina Sajadmanesh; Vikash Sehwag; M. Saquib Sarfraz; Rainer Stiefelhagen; Lingjuan Lyu; Vivek Sharma 001 (CoRR, 2024)

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data. - Kartik Patwari; David Schneider 006; Xiaoxiao Sun 002; Chen-Nee Chuah; Lingjuan Lyu; Vivek Sharma 001 (CoRR, 2024)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

Argus: A Compact and Versatile Foundation Model for Vision. - Weiming Zhuang; Chen Chen 043; Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Jiabo Huang; Vikash Sehwag; Vivek Sharma 001; Hirotaka Shinozaki; Felan Carlo Garcia; Yihao Zhan; Naohiro Adachi; et al. (CVPR, 2025)