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Sudhanshu Mittal
Sudhanshu Mittal
Computer Science and Engineering, Indian Institute of Technology Guwahati
Verified email at iitg.ernet.in
Title
Cited by
Cited by
Year
Using deep and convolutional neural networks for accurate emotion classification on DEAP data
S Tripathi, S Acharya, R Sharma, S Mittal, S Bhattacharya
Proceedings of the AAAI Conference on Artificial Intelligence 31 (2), 4746-4752, 2017
3602017
Semi-supervised semantic segmentation with high-and low-level consistency
S Mittal, M Tatarchenko, T Brox
IEEE transactions on pattern analysis and machine intelligence 43 (4), 1369-1379, 2019
3302019
Essentials for class incremental learning
S Mittal, S Galesso, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
942021
Parting with illusions about deep active learning
S Mittal, M Tatarchenko, Ö Çiçek, T Brox
arXiv preprint arXiv:1912.05361, 2019
492019
Predicting online doctor ratings from user reviews using convolutional neural networks
RD Sharma, S Tripathi, SK Sahu, S Mittal, A Anand
International Journal of Machine Learning and Computing 6 (2), 149, 2016
312016
Open-vocabulary attribute detection
MA Bravo, S Mittal, S Ging, T Brox
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
182023
Using modern neural networks to predict the decisions of supreme court of the united states with state-of-the-art accuracy
RD Sharma, S Mittal, S Tripathi, S Acharya
Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015
152015
Localized vision-language matching for open-vocabulary object detection
MA Bravo, S Mittal, T Brox
DAGM German Conference on Pattern Recognition, 393-408, 2022
122022
Revisiting deep active learning for semantic segmentation
S Mittal, J Niemeijer, JP Schäfer, T Brox
arXiv preprint arXiv:2302.04075 1, 2023
52023
Best practices in active learning for semantic segmentation
S Mittal, J Niemeijer, JP Schäfer, T Brox
arXiv preprint arXiv:2302.04075, 2023
42023
Thirty-First AAAI Conference on Artificial Intelligence
S Tripathi, S Acharya, RD Sharma, S Mittal, S Bhattacharya
AAAI Press, 2017
32017
Synthetic Dataset Acquisition for a Specific Target Domain
J Niemeijer, S Mittal, T Brox
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders
S Mittal
Master's thesis. Royal Institute of Technology (KTH), Stockholm, Sweden …, 2017
12017
Efficient Generation and Utilization of Synthetic Data For Training Vehicle Perception Systems
J Niemeijer, F Andert, S Mittal, T Brox
2023
Best Practices in Active Learning for Semantic Segmentation
J Niemeijer, S Mittal, JP Schäfer, T Brox
German Conference on Pattern Recognition, 2023
2023
Towards efficient deep learning for computer vision
S Mittal
Dissertation, Universität Freiburg, 2023, 2023
2023
Open-vocabulary Attribute Detection Supplementary
MA Bravo, S Mittal, S Ging, T Brox
Supplementary: Essentials for Class Incremental Learning
S Mittal, S Galesso, T Brox
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