Small Object Discovery and Recognition Using Actively Guided Robot. - Sudhanshu Mittal; M. Siva Karthik; Suryansh Kumar 001; K. Madhava Krishna (ICPR, 2014)

Guess from Far, Recognize when Near: Searching the Floor for Small Objects. - M. Siva Karthik; Sudhanshu Mittal; K. Madhava Krishna (ICVGIP, 2014)

Decision theoretic search for small objects through integrating far and near cues. - M. Siva Karthik; Sudhanshu Mittal; Gurshaant Malik; K. Madhava Krishna (ECMR, 2015)

Using Modern Neural Networks to Predict the Decisions of Supreme Court of the United States with State-of-the-Art Accuracy. - Ranti Dev Sharma; Sudhanshu Mittal; Samarth Tripathi; Shrinivas Acharya (ICONIP (2), 2015)

Rolling shutter and motion blur removal for depth cameras. - Siddharth Tourani; Sudhanshu Mittal; Akhil Nagariya; Visesh Chari; K. Madhava Krishna (ICRA, 2016)

Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset. - Samarth Tripathi; Shrinivas Acharya; Ranti Dev Sharma; Sudhanshu Mittal; Samit Bhattacharya (AAAI, 2017)

Parting with Illusions about Deep Active Learning. - Sudhanshu Mittal; Maxim Tatarchenko; Özgün Çiçek; Thomas Brox (CoRR, 2019)

Essentials for Class Incremental Learning. - Sudhanshu Mittal; Silvio Galesso; Thomas Brox (CVPR Workshops, 2021)

Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency. - Sudhanshu Mittal; Maxim Tatarchenko; Thomas Brox (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Localized Vision-Language Matching for Open-vocabulary Object Detection. - María Alejandra Bravo; Sudhanshu Mittal; Thomas Brox (GCPR, 2022)

Open-vocabulary Attribute Detection. - María Alejandra Bravo; Sudhanshu Mittal; Simon Ging; Thomas Brox (CVPR, 2023)

Best Practices in Active Learning for Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Jörg P. Schäfer; Thomas Brox (DAGM, 2023)

Synthetic Dataset Acquisition for a Specific Target Domain. - Joshua Niemeijer; Sudhanshu Mittal; Thomas Brox (ICCV (Workshops), 2023)

Revisiting Deep Active Learning for Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Jörg P. Schäfer; Thomas Brox (CoRR, 2023)

Towards efficient deep learning for computer vision. - Sudhanshu Mittal (2023)

Design and development of leaky least mean fourth control algorithm for single-phase grid-connected multilevel inverter. - Sudhanshu Mittal; Alka Singh; Prakash Chittora (Int. J. Circuit Theory Appl., 2024)

What Matters for In-Context Learning: A Balancing Act of Look-up and In-Weight Learning. - Jelena Bratulic; Sudhanshu Mittal; Christian Rupprecht 001; Thomas Brox (CoRR, 2025)

Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models. - Arian Mousakhan; Sudhanshu Mittal; Silvio Galesso; Karim Farid; Thomas Brox (CoRR, 2025)

Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation. - Sudhanshu Mittal; Joshua Niemeijer; Özgün Çiçek; Maxim Tatarchenko; Jan Ehrhardt; Jörg P. Schäfer; Heinz Handels; Thomas Brox (Int. J. Comput. Vis., 2025)