Sudhanshu Mittal

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Topics

Semantic Segmentation

Top Venues

Publications

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) (2024)
Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox
Synthetic Dataset Acquisition for a Specific Target Domain. ICCV (Workshops) (2023)
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
Revisiting Deep Active Learning for Semantic Segmentation. CoRR (2023)
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
Best Practices in Active Learning for Semantic Segmentation. DAGM (2023)
María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
Open-vocabulary Attribute Detection. CVPR (2023)
María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
Open-vocabulary Attribute Detection. CoRR (2022)
María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox
Localized Vision-Language Matching for Open-vocabulary Object Detection. GCPR (2022)
María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox
Localized Vision-Language Matching for Open-vocabulary Object Detection. CoRR (2022)
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
Essentials for Class Incremental Learning. CoRR (2021)
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
Essentials for Class Incremental Learning. CVPR Workshops (2021)
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency. CoRR (2019)
Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
Parting with Illusions about Deep Active Learning. CoRR (2019)
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)
Siddharth Tourani, Sudhanshu Mittal, Akhil Nagariya, Visesh Chari, K. Madhava Krishna
Rolling shutter and motion blur removal for depth cameras. ICRA (2016)
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)
M. Siva Karthik, Sudhanshu Mittal, Gurshaant Malik, K. Madhava Krishna
Decision theoretic search for small objects through integrating far and near cues. ECMR (2015)
M. Siva Karthik, Sudhanshu Mittal, K. Madhava Krishna
Guess from Far, Recognize when Near: Searching the Floor for Small Objects. ICVGIP (2014)
Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna
Small Object Discovery and Recognition Using Actively Guided Robot. ICPR (2014)