Apratim Bhattacharyya

Orcid: 0000-0002-3481-9546

According to our database1, Apratim Bhattacharyya authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Live Fitness Coaching as a Testbed for Situated Interaction.
CoRR, 2024

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning.
Proceedings of the 10th International Conference on Geographical Information Systems Theory, 2024

2023
Look, Remember and Reason: Visual Reasoning with Grounded Rationales.
CoRR, 2023

Painter: Teaching Auto-regressive Language Models to Draw Sketches.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Long-term future prediction under uncertainty and multi-modality.
PhD thesis, 2021

SampleFix: Learning to Generate Functionally Diverse Fixes.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers.
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.
Comput. Chem. Eng., 2020

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.
Proceedings of the 29th USENIX Security Symposium, 2020

Haar Wavelet Based Block Autoregressive Flows for Trajectories.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Normalizing Flows With Multi-Scale Autoregressive Priors.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
"Best-of-Many-Samples" Distribution Matching.
CoRR, 2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction.
CoRR, 2019

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes.
CoRR, 2019

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods.
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.
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.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Long-Term Image Boundary Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Efficiently Summarising Event Sequences with Rich Interleaving Patterns.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016
Long-Term Image Boundary Extrapolation.
CoRR, 2016

Spatio-Temporal Image Boundary Extrapolation.
CoRR, 2016


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