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ORCIDOtkrist Gupta
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2020 – today
- 2024
[j7]Yichuan Liu
, Hailey Joren, Otkrist Gupta, Dan Raviv:
Correction to: MRZ code extraction from visa and passport documents using convolutional neural networks. Int. J. Document Anal. Recognit. 27(1): 111 (2024)- 2023
- [j6]Hailey Joren, Otkrist Gupta, Dan Raviv:
Correction: Printing and scanning investigation for image counter forensics. EURASIP J. Image Video Process. 2023(1): 10 (2023) - 2022
- [j5]Hailey James, Otkrist Gupta, Dan Raviv:
Printing and scanning investigation for image counter forensics. EURASIP J. Image Video Process. 2022(1): 2 (2022) - [j4]Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv:
MRZ code extraction from visa and passport documents using convolutional neural networks. Int. J. Document Anal. Recognit. 25(1): 29-39 (2022) - [c9]Hailey James, Otkrist Gupta, Dan Raviv:
Learning Document Graphs with Attention for Image Manipulation Detection. ICPRAI (1) 2022: 263-274 - 2021
- [c8]Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar:
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. FG 2021: 1-8 - 2020
- [c7]Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar:
NoPeek: Information leakage reduction to share activations in distributed deep learning. ICDM (Workshops) 2020: 933-942 - [i16]Hailey James, Otkrist Gupta, Dan Raviv:
Printing and Scanning Attack for Image Counter Forensics. CoRR abs/2005.02160 (2020) - [i15]Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar:
NoPeek: Information leakage reduction to share activations in distributed deep learning. CoRR abs/2008.09161 (2020) - [i14]Hailey James, Otkrist Gupta, Dan Raviv:
OCR Graph Features for Manipulation Detection in Documents. CoRR abs/2009.05158 (2020) - [i13]Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv:
MRZ code extraction from visa and passport documents using convolutional neural networks. CoRR abs/2009.05489 (2020)
2010 – 2019
- 2019
- [j3]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Multi-Velocity Neural Networks for Facial Expression Recognition in Videos. IEEE Trans. Affect. Comput. 10(2): 290-296 (2019) - [i12]Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, Ramesh Raskar:
Detailed comparison of communication efficiency of split learning and federated learning. CoRR abs/1909.09145 (2019) - [i11]Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar:
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. CoRR abs/1909.12734 (2019) - 2018
- [j2]Otkrist Gupta, Ramesh Raskar:
Distributed learning of deep neural network over multiple agents. J. Netw. Comput. Appl. 116: 1-8 (2018) - [j1]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Illumination invariants in deep video expression recognition. Pattern Recognit. 76: 25-35 (2018) - [c6]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) 2018: 71-88 - [c5]Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Accelerating Neural Architecture Search using Performance Prediction. ICLR (Workshop) 2018 - [c4]Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine Grained Classification. NeurIPS 2018: 635-645 - [i10]Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Maximum-Entropy Fine-Grained Classification. CoRR abs/1809.05934 (2018) - [i9]Otkrist Gupta, Ramesh Raskar:
Distributed learning of deep neural network over multiple agents. CoRR abs/1810.06060 (2018) - [i8]Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar:
Split learning for health: Distributed deep learning without sharing raw patient data. CoRR abs/1812.00564 (2018) - [i7]Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey:
No Peek: A Survey of private distributed deep learning. CoRR abs/1812.03288 (2018) - 2017
- [c3]Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar:
Designing Neural Network Architectures using Reinforcement Learning. ICLR (Poster) 2017 - [i6]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Training with Confusion for Fine-Grained Visual Classification. CoRR abs/1705.08016 (2017) - [i5]Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik:
Practical Neural Network Performance Prediction for Early Stopping. CoRR abs/1705.10823 (2017) - 2016
- [c2]Otkrist Gupta, Daniel McDuff, Ramesh Raskar:
Real-Time Physiological Measurement and Visualization Using a Synchronized Multi-camera System. CVPR Workshops 2016: 312-319 - [i4]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Deep video gesture recognition using illumination invariants. CoRR abs/1603.06531 (2016) - [i3]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Multi-velocity neural networks for gesture recognition in videos. CoRR abs/1603.06829 (2016) - [i2]Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar:
Designing Neural Network Architectures using Reinforcement Learning. CoRR abs/1611.02167 (2016) - 2015
- [c1]Hisham Bedri, Otkrist Gupta, Andrew Temme, Micha Feigin, Gregory L. Charvat, Ramesh Raskar:
RFlow: User Interaction Beyond Walls. UIST (Adjunct Volume) 2015: 45-46 - 2012
- [i1]Otkrist Gupta, Andreas Velten, Thomas Willwacher, Ashok Veeraraghavan, Ramesh Raskar:
Reconstruction of hidden 3D shapes using diffuse reflections. CoRR abs/1203.4280 (2012)
Coauthor Index
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