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Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences

Jun 12, 2020
Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker


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Label Efficient Visual Abstractions for Autonomous Driving

May 20, 2020
Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger

* First two authors contributed equally, listed in alphabetical order 

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Scalable Active Learning for Object Detection

Apr 09, 2020
Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clement Farabet, Jose M. Alvarez

* accepted at IEEE-IV2020 

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Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions

Jul 27, 2019
Kashyap Chitta, Jose M. Alvarez, Martial Hebert


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Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling

May 29, 2019
Kashyap Chitta, Jose M. Alvarez, Elmar Haussmann, Clement Farabet


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Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

Nov 30, 2018
Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski

* arXiv admin note: text overlap with arXiv:1811.02640 

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Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization

Nov 30, 2018
Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski

* Workshop on Bayesian Deep Learning (NeurIPS 2018) 

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Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels

Nov 08, 2018
Kashyap Chitta, Jianwei Feng, Martial Hebert


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Targeted Kernel Networks: Faster Convolutions with Attentive Regularization

Sep 21, 2018
Kashyap Chitta

* ECCV 2018 Workshops 

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Learning Sampling Policies for Domain Adaptation

May 19, 2018
Yash Patel, Kashyap Chitta, Bhavan Jasani


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