Spatio-Temporal Image Boundary Extrapolation. - Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz (CoRR, 2016)

Long-Term Image Boundary Extrapolation. - Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz (CoRR, 2016)

Efficiently Summarising Event Sequences with Rich Interleaving Patterns. - Apratim Bhattacharyya; Jilles Vreeken (SDM, 2017)

Long-Term Image Boundary Prediction. - Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz (AAAI, 2018)

Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. - Apratim Bhattacharyya; Mario Fritz; Bernt Schiele (CVPR, 2018)

Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. - Apratim Bhattacharyya; Bernt Schiele; Mario Fritz (CVPR, 2018)

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. - Apratim Bhattacharyya; Mario Fritz; Bernt Schiele (ICLR (Poster), 2019)

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. - Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz (CoRR, 2019)

Conditional Flow Variational Autoencoders for Structured Sequence Prediction. - Apratim Bhattacharyya; Michael Hanselmann; Mario Fritz; Bernt Schiele; Christoph-Nikolas Straehle (CoRR, 2019)

"Best-of-Many-Samples" Distribution Matching. - Apratim Bhattacharyya; Mario Fritz; Bernt Schiele (CoRR, 2019)

Normalizing Flows With Multi-Scale Autoregressive Priors. - Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth 001 (CVPR, 2020)

Haar Wavelet Based Block Autoregressive Flows for Trajectories. - Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele (GCPR, 2020)

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. - Ahmed Salem 001; Apratim Bhattacharya; Michael Backes 001; Mario Fritz; Yang Zhang 016 (USENIX Security Symposium, 2020)

Data-driven process monitoring and fault analysis of reformer units in hydrogen plants: Industrial application and perspectives. - Ankur Kumar; Apratim Bhattacharya; Jesus Flores-Cerrillo (Comput. Chem. Eng., 2020)

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. - Apratim Bhattacharyya; Daniel Olmeda Reino; Mario Fritz; Bernt Schiele (CVPR, 2021)

SampleFix: Learning to Generate Functionally Diverse Fixes. - Hossein Hajipour; Apratim Bhattacharyya; Cristian-Alexandru Staicu; Mario Fritz (PKDD/ECML Workshops (2), 2021)

Long-term future prediction under uncertainty and multi-modality. - Apratim Bhattacharyya (2021)

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. - Niklas Hanselmann; Katrin Renz; Kashyap Chitta; Apratim Bhattacharyya; Andreas Geiger 001 (ECCV (38), 2022)

Painter: Teaching Auto-regressive Language Models to Draw Sketches. - Reza Pourreza 002; Apratim Bhattacharyya; Sunny Panchal; Mingu Lee; Pulkit Madan; Roland Memisevic (ICCV (Workshops), 2023)

Look, Remember and Reason: Visual Reasoning with Grounded Rationales. - Apratim Bhattacharyya; Sunny Panchal; Mingu Lee; Reza Pourreza 002; Pulkit Madan; Roland Memisevic (CoRR, 2023)

Automated Georeferencing and Extraction of Building Footprints from Remotely Sensed Imagery using Deep Learning. - Aniruddha Khatua; Apratim Bhattacharya; Bharath H. Aithal (GISTAM, 2024)

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. - Apratim Bhattacharyya; Sunny Panchal; Reza Pourreza 002; Mingu Lee; Pulkit Madan; Roland Memisevic (ICLR, 2024)

ClevrSkills: Compositional Language And Visual Reasoning in Robotics. - Sanjay Haresh; Daniel Dijkman; Apratim Bhattacharyya; Roland Memisevic (NeurIPS, 2024)

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (NeurIPS, 2024)

Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (CoRR, 2024)

Distilling Multi-modal Large Language Models for Autonomous Driving. - Deepti Hegde; Rajeev Yasarla; Hong Cai; Shizhong Han; Apratim Bhattacharyya; Shweta Mahajan; Litian Liu; Risheek Garrepalli; Vishal M. Patel; Fatih Porikli (CVPR, 2025)

Enhancing Hallucination Detection through Noise Injection. - Litian Liu; Reza Pourreza 002; Sunny Panchal; Apratim Bhattacharyya; Ya-Qin Zhang; Roland Memisevic (CoRR, 2025)

Can Vision-Language Models Answer Face to Face Questions in the Real-World? - Reza Pourreza 002; Rishit Dagli; Apratim Bhattacharyya; Sunny Panchal; Guillaume Berger; Roland Memisevic (CoRR, 2025)

RoCA: Robust Cross-Domain End-to-End Autonomous Driving. - Rajeev Yasarla; Shizhong Han; Hsin-Pai Cheng; Litian Liu; Shweta Mahajan; Apratim Bhattacharyya; Yunxiao Shi; Risheek Garrepalli; Hong Cai; Fatih Porikli (CoRR, 2025)