Kashyap Chitta
Kashyap Chitta
Max Planck Institute for Intelligent Systems, Tübingen
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
Large-scale visual active learning with deep probabilistic ensembles
K Chitta, JM Alvarez, A Lesnikowski
arXiv preprint arXiv:1811.03575, 2018
72018
Adaptive semantic segmentation with a strategic curriculum of proxy labels
K Chitta, J Feng, M Hebert
arXiv preprint arXiv:1811.03542, 2018
42018
Training Data Distribution Search with Ensemble Active Learning
K Chitta, JM Alvarez, E Haussmann, C Farabet
arXiv preprint arXiv:1905.12737, 2019
3*2019
Learning sampling policies for domain adaptation
Y Patel, K Chitta, B Jasani
arXiv preprint arXiv:1805.07641, 2018
22018
A reduced region of interest based approach for facial expression recognition from static images
K Chitta, NN Sajjan
2016 IEEE Region 10 Conference (TENCON), 2806-2809, 2016
22016
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions
K Chitta, JM Alvarez, M Hebert
The IEEE Winter Conference on Applications of Computer Vision, 2020
2020
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization
K Chitta, JM Alvarez, A Lesnikowski
arXiv preprint arXiv:1811.02640, 2018
2018
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
K Chitta
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
2018
Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving
A Prakash, A Behl, E Ohn-Bar, K Chitta, A Geiger
Supplementary Material for Learning Situational Driving
E Ohn-Bar, A Prakash, A Behl, K Chitta, A Geiger
Learning Situational Driving
E Ohn-Bar, A Prakash, A Behl, K Chitta, A Geiger
Supplementary Material for Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving
A Prakash, A Behl, E Ohn-Bar, K Chitta, A Geiger
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