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ORCIDSudhanshu Mittal
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Books and Theses
- 2023
[b1]Sudhanshu Mittal:
Towards efficient deep learning for computer vision. University of Freiburg, Freiburg im Breisgau, Germany, 2023
Journal Articles
- 2024
- [j2]Sudhanshu Mittal
, Alka Singh, Prakash Chittora:
Design and development of leaky least mean fourth control algorithm for single-phase grid-connected multilevel inverter. Int. J. Circuit Theory Appl. 52(1): 328-345 (2024) - 2021
- [j1]Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox:
Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1369-1379 (2021)
Conference and Workshop Papers
- 2023
- [c11]María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox:
Open-vocabulary Attribute Detection. CVPR 2023: 7041-7050 - [c10]Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Best Practices in Active Learning for Semantic Segmentation. DAGM 2023: 427-442 - [c9]Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox:
Synthetic Dataset Acquisition for a Specific Target Domain. ICCV (Workshops) 2023: 4057-4066 - 2022
- [c8]María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox:
Localized Vision-Language Matching for Open-vocabulary Object Detection. GCPR 2022: 393-408 - 2021
- [c7]Sudhanshu Mittal, Silvio Galesso, Thomas Brox:
Essentials for Class Incremental Learning. CVPR Workshops 2021: 3513-3522 - 2017
- [c6]Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya:
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset. AAAI 2017: 4746-4752 - 2016
- [c5]Siddharth Tourani, Sudhanshu Mittal, Akhil Nagariya, Visesh Chari, K. Madhava Krishna:
Rolling shutter and motion blur removal for depth cameras. ICRA 2016: 5098-5105 - 2015
- [c4]M. Siva Karthik, Sudhanshu Mittal, Gurshaant Malik, K. Madhava Krishna:
Decision theoretic search for small objects through integrating far and near cues. ECMR 2015: 1-6 - [c3]Ranti Dev Sharma, Sudhanshu Mittal, Samarth Tripathi, Shrinivas Acharya:
Using Modern Neural Networks to Predict the Decisions of Supreme Court of the United States with State-of-the-Art Accuracy. ICONIP (2) 2015: 475-483 - 2014
- [c2]Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna:
Small Object Discovery and Recognition Using Actively Guided Robot. ICPR 2014: 4334-4339 - [c1]M. Siva Karthik, Sudhanshu Mittal, K. Madhava Krishna:
Guess from Far, Recognize when Near: Searching the Floor for Small Objects. ICVGIP 2014: 61:1-61:8
Informal and Other Publications
- 2023
- [i6]Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Revisiting Deep Active Learning for Semantic Segmentation. CoRR abs/2302.04075 (2023) - 2022
- [i5]María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox:
Localized Vision-Language Matching for Open-vocabulary Object Detection. CoRR abs/2205.06160 (2022) - [i4]María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox:
Open-vocabulary Attribute Detection. CoRR abs/2211.12914 (2022) - 2021
- [i3]Sudhanshu Mittal, Silvio Galesso, Thomas Brox:
Essentials for Class Incremental Learning. CoRR abs/2102.09517 (2021) - 2019
- [i2]Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox:
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. CoRR abs/1908.05724 (2019) - [i1]Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox:
Parting with Illusions about Deep Active Learning. CoRR abs/1912.05361 (2019)
Coauthor Index
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