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ORCIDApratim Bhattacharyya
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2020 – today
- 2024
[c14]Aniruddha Khatua, Apratim Bhattacharya, Bharath H. Aithal:
Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning. GISTAM 2024: 128-135- [c13]Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic:
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. ICLR 2024 - [i17]Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic:
Live Fitness Coaching as a Testbed for Situated Interaction. CoRR abs/2407.08101 (2024) - 2023
- [c12]Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic:
Painter: Teaching Auto-regressive Language Models to Draw Sketches. ICCV (Workshops) 2023: 305-314 - [i16]Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic:
Look, Remember and Reason: Visual Reasoning with Grounded Rationales. CoRR abs/2306.17778 (2023) - [i15]Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic:
Painter: Teaching Auto-regressive Language Models to Draw Sketches. CoRR abs/2308.08520 (2023) - 2022
- [c11]Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger:
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. ECCV (38) 2022: 335-352 - [i14]Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger:
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. CoRR abs/2204.13683 (2022) - 2021
- [b1]Apratim Bhattacharyya:
Long-term future prediction under uncertainty and multi-modality. Saarland University, Saarbrücken, Germany, 2021 - [c10]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele
:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR 2021: 6408-6417 - [c9]Hossein Hajipour, Apratim Bhattacharyya, Cristian-Alexandru Staicu, Mario Fritz:
SampleFix: Learning to Generate Functionally Diverse Fixes. PKDD/ECML Workshops (2) 2021: 119-133 - [i13]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CoRR abs/2106.12442 (2021) - 2020
- [j1]Ankur Kumar, Apratim Bhattacharya, Jesus Flores-Cerrillo:
Data-driven process monitoring and fault analysis of reformer units in hydrogen plants: Industrial application and perspectives. Comput. Chem. Eng. 136: 106756 (2020) - [c8]Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows With Multi-Scale Autoregressive Priors. CVPR 2020: 8412-8421 - [c7]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet Based Block Autoregressive Flows for Trajectories. GCPR 2020: 275-288 - [c6]Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium 2020: 1291-1308 - [i12]Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth:
Normalizing Flows with Multi-Scale Autoregressive Priors. CoRR abs/2004.03891 (2020) - [i11]Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele:
Haar Wavelet based Block Autoregressive Flows for Trajectories. CoRR abs/2009.09878 (2020)
2010 – 2019
- 2019
- [c5]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. ICLR (Poster) 2019 - [i10]Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR abs/1904.01067 (2019) - [i9]Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz:
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. CoRR abs/1906.10502 (2019) - [i8]Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle:
Conditional Flow Variational Autoencoders for Structured Sequence Prediction. CoRR abs/1908.09008 (2019) - [i7]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
"Best-of-Many-Samples" Distribution Matching. CoRR abs/1909.12598 (2019) - 2018
- [c4]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Prediction. AAAI 2018: 2720-2729 - [c3]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. CVPR 2018: 4194-4202 - [c2]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. CVPR 2018: 8485-8493 - [i6]Apratim Bhattacharyya, Bernt Schiele, Mario Fritz:
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective. CoRR abs/1806.07772 (2018) - [i5]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. CoRR abs/1810.00746 (2018) - 2017
- [c1]Apratim Bhattacharyya, Jilles Vreeken:
Efficiently Summarising Event Sequences with Rich Interleaving Patterns. SDM 2017: 795-803 - [i4]Apratim Bhattacharyya, Jilles Vreeken:
Efficiently Summarising Event Sequences with Rich Interleaving Patterns. CoRR abs/1701.08096 (2017) - [i3]Apratim Bhattacharyya, Mario Fritz, Bernt Schiele:
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty. CoRR abs/1711.09026 (2017) - 2016
- [i2]Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz:
Spatio-Temporal Image Boundary Extrapolation. CoRR abs/1605.07363 (2016) - [i1]Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz:
Long-Term Image Boundary Extrapolation. CoRR abs/1611.08841 (2016)
Coauthor Index
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