Apratim Bhattacharyya

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Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Christoph-Nikolas StraehleResearch Scientist, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Yang ZhangFaculty at CISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Mateusz MalinowskiChief Scientific Officer at MoonValleyVerified email at google.com
Niklas HanselmannMercedes-Benz AG R&D & University of TuebingenVerified email at mercedes-benz.com
Katrin RenzUniversity of Tübingen, Tübingen AI Center & IMPRS-ISVerified email at uni-tuebingen.de
Michael HanselmannTechnology Owner & Senior Manager (AI, Automated Driving), Robert Bosch GmbHVerified email at de.bosch.com
Kashyap ChittaUniversity of TübingenVerified email at uni-tuebingen.de
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
Roland MemisevicQualcomm AI ResearchVerified email at qti.qualcomm.com
Reza PourrezaQualcomm AI ResearchVerified email at qti.qualcomm.com
Mingu LeeQualcomm AI ResearchVerified email at qti.qualcomm.com
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at visinf.tu-darmstadt.de
Shweta MahajanUniversity of British Columbia, Vector Institute, TU DarmstadtVerified email at ubc.ca
Sunny PanchalQualcomm AI ResearchVerified email at qti.qualcomm.com
Anpei ChenETH Zürich and University of TübingenVerified email at inf.ethz.ch
Božidar AntićUniversity of TübingenVerified email at uni-tuebingen.de
Zehao YuUniversity of TübingenVerified email at uni-tuebingen.de

Apratim Bhattacharyya

Qualcomm AI Research

Verified email at qti.qualcomm.com - Homepage

Computer Vision Machine Learning


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Updates-leak: Data set inference and reconstruction attacks in online learning A Salem, A Bhattacharya, M Backes, M Fritz, Y Zhang USENIX Security Symposium (USENIX Security), 2020., 2019	276	2019
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty A Bhattacharyya, M Fritz, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017	255	2017
Accurate and diverse sampling of sequences based on a “best of many” sample objective A Bhattacharyya, B Schiele, M Fritz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	122	2018
Conditional Flow Variational Autoencoders for Structured Sequence Prediction A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle NeurIPS Workshop on Machine Learning for Autonomous Driving, 2019, 2019	94	2019
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients N Hanselmann, K Renz, K Chitta, A Bhattacharyya, A Geiger ECCV 2022, 2022	78	2022
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods A Bhattacharyya, M Fritz, B Schiele International Conference on Learning Representations (ICLR), 2019, 2019	55	2019
SampleFix: learning to correct programs by sampling diverse fixes H Hajipour, A Bhattacharyya, CA Staicu, M Fritz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021	36*	2021
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers A Bhattacharyya, DO Reino, M Fritz, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	35	2021
Sdfstudio: A unified framework for surface reconstruction Z Yu, A Chen, B Antic, SP Peng, A Bhattacharyya, M Niemeyer, S Tang, ...	32	2022
Long-Term Image Boundary Prediction A Bhattacharyya, M Malinowski, B Schiele, M Fritz AAAI Conference on Artificial Intelligence, 2018, 2016	27*	2016
Efficiently summarising event sequences with rich interleaving patterns A Bhattacharyya, J Vreeken Proceedings of the 2017 SIAM International Conference on Data Mining, 795-803, 2017	23	2017
Haar Wavelet based Block Autoregressive Flows for Trajectories A Bhattacharyya, CN Straehle, M Fritz, B Schiele German Conference on Pattern Recognition (GCPR), 2020, 2020	17	2020
Normalizing Flows with Multi-Scale Autoregressive Priors S Mahajan, A Bhattacharyya, M Fritz, B Schiele, S Roth Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020	17*	2020
Long Term On-Board Prediction of Pedestrians in Traffic Scenes A Bhattacharyya, M Fritz, B Schiele Conference on Robot Learning (CoRL), 2017	9	2017
Machine learnable system with conditional normalizing flow A Bhattacharyya, CN Straehle US Patent App. 16/919,955, 2021	5	2021
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models A Bhattacharyya, S Panchal, M Lee, R Pourreza, P Madan, R Memisevic International Conference on Learning Representations (ICLR), 2024	4*	2024
"Best-of-Many-Samples" Distribution Matching A Bhattacharyya, M Fritz, B Schiele NeurIPS Workshop on Bayesian Deep Learning, 2019, 2019	4	2019
Method and system for training a model for image generation DO Reino, A Bhattacharyya, M Fritz, B Schiele US Patent App. 17/610,004, 2022	2	2022
Training and data synthesis and probability inference using nonlinear conditional normalizing flow model A Bhattacharyya, CN Straehle US Patent App. 16/922,748, 2021	2	2021
Painter: Teaching Auto-regressive Language Models to Draw Sketches R Pourreza, A Bhattacharyya, S Panchal, M Lee, P Madan, R Memisevic ICCV Workshops, 2023	1	2023

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