Apratim Bhattacharyya

CoRR, 2024

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning.

[BibT_eX]

[DOI]

Aniruddha Khatua

Apratim Bhattacharya

Bharath H. Aithal

Proceedings of the 10th International Conference on Geographical Information Systems Theory, 2024

2023

Look, Remember and Reason: Visual Reasoning with Grounded Rationales.

[BibT_eX]

[DOI]

CoRR, 2023

Painter: Teaching Auto-regressive Language Models to Draw Sketches.

[BibT_eX]

[DOI]

Reza Pourreza

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

[BibT_eX]

[DOI]

Niklas Hanselmann

Katrin Renz

Kashyap Chitta

Andreas Geiger

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Long-term future prediction under uncertainty and multi-modality.

[BibT_eX]

[DOI]

PhD thesis, 2021

SampleFix: Learning to Generate Functionally Diverse Fixes.

[BibT_eX]

[DOI]

Hossein Hajipour

Cristian-Alexandru Staicu

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers.

[BibT_eX]

[DOI]

Daniel Olmeda Reino

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Data-driven process monitoring and fault analysis of reformer units in hydrogen plants: Industrial application and perspectives.

[BibT_eX]

[DOI]

Ankur Kumar

Apratim Bhattacharya

Jesus Flores-Cerrillo

Comput. Chem. Eng., 2020

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

Haar Wavelet Based Block Autoregressive Flows for Trajectories.

[BibT_eX]

[DOI]

Christoph-Nikolas Straehle

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Normalizing Flows With Multi-Scale Autoregressive Priors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

"Best-of-Many-Samples" Distribution Matching.

[BibT_eX]

[DOI]

CoRR, 2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction.

[BibT_eX]

[DOI]

Michael Hanselmann

Christoph-Nikolas Straehle

CoRR, 2019

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes.

[BibT_eX]

[DOI]

Hossein Hajipour

CoRR, 2019

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Long-Term Image Boundary Prediction.

[BibT_eX]

[DOI]

Mateusz Malinowski

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Efficiently Summarising Event Sequences with Rich Interleaving Patterns.

[BibT_eX]

[DOI]

Jilles Vreeken

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

Long-Term Image Boundary Extrapolation.

[BibT_eX]

[DOI]

Mateusz Malinowski

CoRR, 2016

Spatio-Temporal Image Boundary Extrapolation.

[BibT_eX]

[DOI]

Mateusz Malinowski