Reconstruction of hidden 3D shapes using diffuse reflections - Otkrist Gupta; Andreas Velten; Thomas Willwacher; Ashok Veeraraghavan; Ramesh Raskar (CoRR, 2012)

RFlow: User Interaction Beyond Walls. - Hisham Bedri; Otkrist Gupta; Andrew Temme; Micha Feigin; Gregory L. Charvat; Ramesh Raskar (UIST (Adjunct Volume), 2015)

Real-Time Physiological Measurement and Visualization Using a Synchronized Multi-camera System. - Otkrist Gupta; Daniel McDuff; Ramesh Raskar (CVPR Workshops, 2016)

Deep video gesture recognition using illumination invariants. - Otkrist Gupta; Dan Raviv; Ramesh Raskar (CoRR, 2016)

Multi-velocity neural networks for gesture recognition in videos. - Otkrist Gupta; Dan Raviv; Ramesh Raskar (CoRR, 2016)

Designing Neural Network Architectures using Reinforcement Learning. - Bowen Baker; Otkrist Gupta; Nikhil Naik 003; Ramesh Raskar (ICLR (Poster), 2017)

Practical Neural Network Performance Prediction for Early Stopping. - Bowen Baker; Otkrist Gupta; Ramesh Raskar; Nikhil Naik 003 (CoRR, 2017)

Training with Confusion for Fine-Grained Visual Classification. - Abhimanyu Dubey; Otkrist Gupta; Pei Guo; Ramesh Raskar; Ryan Farrell; Nikhil Naik 003 (CoRR, 2017)

Pairwise Confusion for Fine-Grained Visual Classification. - Abhimanyu Dubey; Otkrist Gupta; Pei Guo; Ramesh Raskar; Ryan Farrell; Nikhil Naik 003 (ECCV (12), 2018)

Accelerating Neural Architecture Search using Performance Prediction. - Bowen Baker; Otkrist Gupta; Ramesh Raskar; Nikhil Naik 003 (ICLR (Workshop), 2018)

Maximum-Entropy Fine Grained Classification. - Abhimanyu Dubey; Otkrist Gupta; Ramesh Raskar; Nikhil Naik 003 (NeurIPS, 2018)

Split learning for health: Distributed deep learning without sharing raw patient data. - Praneeth Vepakomma; Otkrist Gupta; Tristan Swedish; Ramesh Raskar (CoRR, 2018)

No Peek: A Survey of private distributed deep learning. - Praneeth Vepakomma; Tristan Swedish; Ramesh Raskar; Otkrist Gupta; Abhimanyu Dubey (CoRR, 2018)

Distributed learning of deep neural network over multiple agents. - Otkrist Gupta; Ramesh Raskar (J. Netw. Comput. Appl., 2018)

Illumination invariants in deep video expression recognition. - Otkrist Gupta; Dan Raviv; Ramesh Raskar (Pattern Recognit., 2018)

Detailed comparison of communication efficiency of split learning and federated learning. - Abhishek Singh 005; Praneeth Vepakomma; Otkrist Gupta; Ramesh Raskar (CoRR, 2019)

Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. - Indu Ilanchezian; Praneeth Vepakomma; Abhishek Singh 005; Otkrist Gupta; G. N. Srinivasa Prasanna; Ramesh Raskar (CoRR, 2019)

Multi-Velocity Neural Networks for Facial Expression Recognition in Videos. - Otkrist Gupta; Dan Raviv; Ramesh Raskar (IEEE Trans. Affect. Comput., 2019)

NoPeek: Information leakage reduction to share activations in distributed deep learning. - Praneeth Vepakomma; Abhishek Singh 005; Otkrist Gupta; Ramesh Raskar (ICDM (Workshops), 2020)

Printing and Scanning Attack for Image Counter Forensics. - Hailey James; Otkrist Gupta; Dan Raviv (CoRR, 2020)

OCR Graph Features for Manipulation Detection in Documents. - Hailey James; Otkrist Gupta; Dan Raviv (CoRR, 2020)

NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. - Praneeth Vepakomma; Abhishek Singh 005; Emily Zhang; Otkrist Gupta; Ramesh Raskar (FG, 2021)

Learning Document Graphs with Attention for Image Manipulation Detection. - Hailey James; Otkrist Gupta; Dan Raviv (ICPRAI (1), 2022)

Printing and scanning investigation for image counter forensics. - Hailey James; Otkrist Gupta; Dan Raviv (EURASIP J. Image Video Process., 2022)

MRZ code extraction from visa and passport documents using convolutional neural networks. - Yichuan Liu; Hailey James; Otkrist Gupta; Dan Raviv (Int. J. Document Anal. Recognit., 2022)

Correction: Printing and scanning investigation for image counter forensics. - Hailey Joren; Otkrist Gupta; Dan Raviv (EURASIP J. Image Video Process., 2023)

Correction to: MRZ code extraction from visa and passport documents using convolutional neural networks. - Yichuan Liu; Hailey Joren; Otkrist Gupta; Dan Raviv (Int. J. Document Anal. Recognit., 2024)