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KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients



Niklas Hanselmann , Katrin Renz , Kashyap Chitta , Apratim Bhattacharyya , Andreas Geiger


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Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers



Apratim Bhattacharyya , Daniel Olmeda Reino , Mario Fritz , Bernt Schiele

* To appear at CVPR 2021 

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Haar Wavelet based Block Autoregressive Flows for Trajectories



Apratim Bhattacharyya , Christoph-Nikolas Straehle , Mario Fritz , Bernt Schiele

* German Conference on Pattern Recognition, 2020 (oral) 

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Normalizing Flows with Multi-Scale Autoregressive Priors



Shweta Mahajan , Apratim Bhattacharyya , Mario Fritz , Bernt Schiele , Stefan Roth

* To appear in CVPR 2020 

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"Best-of-Many-Samples" Distribution Matching



Apratim Bhattacharyya , Mario Fritz , Bernt Schiele


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Conditional Flow Variational Autoencoders for Structured Sequence Prediction



Apratim Bhattacharyya , Michael Hanselmann , Mario Fritz , Bernt Schiele , Christoph-Nikolas Straehle


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Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective



Apratim Bhattacharyya , Bernt Schiele , Mario Fritz

* Added additional references and baselines. (Appeared in CVPR 2018) 

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Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods



Apratim Bhattacharyya , Mario Fritz , Bernt Schiele

* arXiv admin note: substantial text overlap with arXiv:1806.06939 

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Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization



Apratim Bhattacharyya , Mario Fritz , Bernt Schiele

* The objective in (8) allows for trivial solutions e.g. the prior 

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Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty



Apratim Bhattacharyya , Mario Fritz , Bernt Schiele

* CVPR 2018 

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