Bhattacharyya, Apratim

16 publications

ICLR 2026 Can Vision-Language Models Answer Face to Face Questions in the Real-World? Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya, Sunny Panchal, Guillaume Berger, Roland Memisevic

ICLR 2026 Enhancing Hallucination Detection Through Noise Injection Litian Liu, Reza Pourreza, Sunny Panchal, Apratim Bhattacharyya, Yubing Jian, Yao Qin, Roland Memisevic

NeurIPS 2025 Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh, Reza Pourreza, Litian Liu, Sunny Panchal, Leonid Sigal, Roland Memisevic

CVPR 2025 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

NeurIPS 2024 ClevrSkills: Compositional Language and Visual Reasoning in Robotics Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic

ICLR 2024 Look, Remember and Reason: Grounded Reasoning in Videos with Language Models Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, 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, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic

ICCVW 2023 Painter: Teaching Auto-Regressive Language Models to Draw Sketches Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic

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

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

CVPR 2020 Normalizing Flows with Multi-Scale Autoregressive Priors Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth

NeurIPSW 2020 SampleFix: Learning to Correct Programs by Efficient Sampling of Diverse Fixes Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz

ICLR 2019 Bayesian Prediction of Future Street Scenes Using Synthetic Likelihoods 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

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

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