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ORCIDSagar Verma
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2020 – today
- 2023
[b1]Sagar Verma:
Deep Neural Network Modeling of Electric Motors. (Modélisation, contrôle et supervision de moteurs électriques par réseaux de neurones profonds). University of Paris-Saclay, France, 2023- [j2]Sagar Verma
, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet:
Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise. IEEE Trans. Ind. Electron. 70(1): 167-177 (2023) - [c17]Akash Panigrahi, Sagar Verma, Matthieu Terris, Maria Vakalopoulou:
Have Foundational Models Seen Satellite Images? IGARSS 2023: 4998-5001 - [c16]Matthieu Terris, Sagar Verma:
Investigating Model Robustness Against Sensor Variation. IGARSS 2023: 5037-5040 - [c15]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i9]Kavya Gupta, Sagar Verma:
CertViT: Certified Robustness of Pre-Trained Vision Transformers. CoRR abs/2302.10287 (2023) - 2022
- [c14]Sagar Verma, Siddharth Gupta, Hal Shin, Akash Panigrahi, Shubham Goswami, Shweta Pardeshi, Natanael Exe, Ujwal Dutta, Tanka Raj Joshi, Nitin Bhojwani:
GeoEngine: A Platform for Production-Ready Geospatial Research. CVPR 2022: 21384-21392 - [c13]Hal Shin, Natanael Exe, Ujwal Dutta, Tanka Raj Joshi, Sagar Verma, Siddharth Gupta:
Europa: Increasing Accessibility of Geospatial Datasets. IGARSS 2022: 6848-6851 - [i8]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022) - 2021
- [c12]Sagar Verma, Akash Panigrahi, Siddharth Gupta:
QFabric: Multi-Task Change Detection Dataset. CVPR Workshops 2021: 1052-1061 - [c11]Sagar Verma, Supriya Agrawal, R. Venkatesh, Ulka Shrotri, Srinarayana Nagarathinam, Rajesh Jayaprakash, Aabriti Dutta:
EImprove - Optimizing Energy and Comfort in Buildings based on Formal Semantics and Reinforcement Learning. DAC 2021: 157-162 - [c10]Sagar Verma, Jean-Christophe Pesquet:
Sparsifying Networks via Subdifferential Inclusion. ICML 2021: 10542-10552 - 2020
- [c9]Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet:
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. AAAI 2020: 1387-1394 - [c8]Supriya Agrawal, R. Venkatesh, Ulka Shrotri, Amey Zare, Sagar Verma:
Scaling Test Case Generation For Expressive Decision Tables. ICST 2020: 364-374 - [c7]Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet:
Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics. IECON 2020: 495-500 - [i7]Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet:
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection. CoRR abs/2010.05771 (2020)
2010 – 2019
- 2019
- [c6]Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. ICASSP 2019: 8345-8349 - [c5]Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos:
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. IGARSS 2019: 214-217 - [c4]Sagar Verma, Richa Verma, P. B. Sujit:
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. IJCNN 2019: 1-8 - [i6]Sagar Verma, Prince Patel, Angshul Majumdar:
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. CoRR abs/1910.07724 (2019) - [i5]Sagar Verma, Pravin Nagar, Divam Gupta, Chetan Arora:
Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. CoRR abs/1910.07766 (2019) - [i4]Maria Papadomanolaki, Sagar Verma, Maria Vakalopoulou, Siddharth Gupta, Konstantinos Karantzalos:
Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data. CoRR abs/1910.07778 (2019) - [i3]Sagar Verma, Richa Verma, P. B. Sujit:
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. CoRR abs/1910.07780 (2019) - [i2]Sagar Verma, Shikha Singh, Angshul Majumdar:
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring. CoRR abs/1910.08149 (2019) - [i1]Sagar Verma, Sukhad Anand, Chetan Arora, Atul Rai:
Diversity in Fashion Recommendation using Semantic Parsing. CoRR abs/1910.08292 (2019) - 2018
- [j1]Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan:
Tooling Framework for Instantiating Natural Language Querying System. Proc. VLDB Endow. 11(12): 2014-2017 (2018) - [c3]Sagar Verma, Sukhad Anand, Chetan Arora, Atul Rai:
Diversity in Fashion Recommendation Using Semantic Parsing. ICIP 2018: 500-504 - [c2]Sagar Verma, Pravin Nagar, Divam Gupta, Chetan Arora:
Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos. ICIP 2018: 2301-2305 - 2017
- [c1]Sagar Verma, Prince Patel, Angshul Majumdar:
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine. ICAPR 2017: 1-6
Coauthor Index
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