Sudhanshu Mittal

25 papers A* 3B 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
On Geometric Understanding and Learned Data Priors in VGGT.
CoRR
Jelena Bratulic, Sudhanshu Mittal, Thomas Brox, Christian Rupprecht
2025 J jnl
Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models.
CoRR
Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox
2025 J jnl
Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation.
Int. J. Comput. Vis.
Sudhanshu Mittal, Joshua Niemeijer, Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, Jörg P. Schäfer, Heinz Handels, Thomas Brox
2025 — conf
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling.
DAGM GCPR
Jelena Bratulic, Sudhanshu Mittal, David T. Hoffmann, Samuel Böhm, Robin Tibor Schirrmeister, Tonio Ball, Christian Rupprecht, Thomas Brox
2025 J jnl
What Matters for In-Context Learning: A Balancing Act of Look-up and In-Weight Learning.
CoRR
Jelena Bratulic, Sudhanshu Mittal, Christian Rupprecht, Thomas Brox
2024 J jnl
Design and development of leaky least mean fourth control algorithm for single-phase grid-connected multilevel inverter.
Int. J. Circuit Theory Appl.
Sudhanshu Mittal, Alka Singh, Prakash Chittora
2023 — conf
Best Practices in Active Learning for Semantic Segmentation.
DAGM
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
2023 A* conf
Open-vocabulary Attribute Detection.
CVPR
María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
2023 J jnl
Revisiting Deep Active Learning for Semantic Segmentation.
CoRR
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
2023 — conf
Synthetic Dataset Acquisition for a Specific Target Domain.
ICCV (Workshops)
Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox
2023 — —
Towards efficient deep learning for computer vision.
Sudhanshu Mittal
2022 — conf
Localized Vision-Language Matching for Open-vocabulary Object Detection.
GCPR
María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox
2022 J jnl
Localized Vision-Language Matching for Open-vocabulary Object Detection.
CoRR
María Alejandra Bravo, Sudhanshu Mittal, Thomas Brox
2022 J jnl
Open-vocabulary Attribute Detection.
CoRR
María Alejandra Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
2021 — conf
Essentials for Class Incremental Learning.
CVPR Workshops
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2021 J jnl
Essentials for Class Incremental Learning.
CoRR
Sudhanshu Mittal, Silvio Galesso, Thomas Brox
2021 J jnl
Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency.
IEEE Trans. Pattern Anal. Mach. Intell.
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
2019 J jnl
Parting with Illusions about Deep Active Learning.
CoRR
Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox
2019 J jnl
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency.
CoRR
Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox
2017 A* conf
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset.
AAAI
Samarth Tripathi, Shrinivas Acharya, Ranti Dev Sharma, Sudhanshu Mittal, Samit Bhattacharya
2016 A* conf
Rolling shutter and motion blur removal for depth cameras.
ICRA
Siddharth Tourani, Sudhanshu Mittal, Akhil Nagariya, Visesh Chari, K. Madhava Krishna
2015 — conf
Decision theoretic search for small objects through integrating far and near cues.
ECMR
M. Siva Karthik, Sudhanshu Mittal, Gurshaant Malik, K. Madhava Krishna
2015 — conf
Using Modern Neural Networks to Predict the Decisions of Supreme Court of the United States with State-of-the-Art Accuracy.
ICONIP (2)
Ranti Dev Sharma, Sudhanshu Mittal, Samarth Tripathi, Shrinivas Acharya
2014 — conf
Guess from Far, Recognize when Near: Searching the Floor for Small Objects.
ICVGIP
M. Siva Karthik, Sudhanshu Mittal, K. Madhava Krishna
2014 B conf
Small Object Discovery and Recognition Using Actively Guided Robot.
ICPR
Sudhanshu Mittal, M. Siva Karthik, Suryansh Kumar, K. Madhava Krishna