no code implementations • 24 May 2016 • Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz
Furthermore, we show long-term prediction of boundaries in situations where the motion is governed by the laws of physics.
no code implementations • 27 Nov 2016 • Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz
Boundary estimation in images and videos has been a very active topic of research, and organizing visual information into boundaries and segments is believed to be a corner stone of visual perception.
no code implementations • 27 Jan 2017 • Apratim Bhattacharyya, Jilles Vreeken
Discovering the key structure of a database is one of the main goals of data mining.
no code implementations • CVPR 2018 • Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Our experimental results show that it is indeed possible to predict people trajectories at the desired time horizons and that our uncertainty estimates are informative of the prediction error.
Ranked #5 on Trajectory Prediction on JAAD
no code implementations • CVPR 2018 • Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence.
no code implementations • 18 Jun 2018 • Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence.
1 code implementation • 20 Jun 2018 • Apratim Bhattacharyya, Bernt Schiele, Mario Fritz
For autonomous agents to successfully operate in the real world, anticipation of future events and states of their environment is a key competence.
Ranked #6 on Human Pose Forecasting on Human3.6M (ADE metric)
1 code implementation • ICLR 2019 • Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
For autonomous agents to successfully operate in the real world, the ability to anticipate future scene states is a key competence.
no code implementations • 24 Jun 2019 • Hossein Hajipour, Apratim Bhattacharyya, Cristian-Alexandru Staicu, Mario Fritz
Therefore, we propose a generative model that learns a distribution over potential fixes.
Ranked #3 on Program Repair on DeepFix
no code implementations • 24 Aug 2019 • Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle
Prediction of future states of the environment and interacting agents is a key competence required for autonomous agents to operate successfully in the real world.
Ranked #10 on Trajectory Prediction on Stanford Drone
no code implementations • 25 Sep 2019 • Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Recent works have proposed hybrid VAE-GAN frameworks which integrate a GAN-based synthetic likelihood to the VAE objective to address both the mode collapse and sample quality issues, with limited success.
1 code implementation • 27 Sep 2019 • Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Recent works have proposed hybrid VAE-GAN frameworks which integrate a GAN-based synthetic likelihood to the VAE objective to address both the mode collapse and sample quality issues, with limited success.
1 code implementation • CVPR 2020 • Shweta Mahajan, Apratim Bhattacharyya, Mario Fritz, Bernt Schiele, Stefan Roth
Flow-based generative models are an important class of exact inference models that admit efficient inference and sampling for image synthesis.
no code implementations • 21 Sep 2020 • Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele
This yields an exact inference method that models trajectories at different spatio-temporal resolutions in a hierarchical manner.
no code implementations • NeurIPS Workshop CAP 2020 • Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz
Therefore, we propose a deep generative model to automatically correct programming errors by learning a distribution over potential fixes.
no code implementations • CVPR 2021 • Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele
In this work, we propose Euro-PVI, a dataset of pedestrian and bicyclist trajectories.
Ranked #1 on Pedestrian Trajectory Prediction on Euro-PVI
1 code implementation • 28 Apr 2022 • Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
Simulators offer the possibility of safe, low-cost development of self-driving systems.
no code implementations • 30 Jun 2023 • Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic
Multi-modal language models (LM) have recently shown promising performance in high-level reasoning tasks on videos.
no code implementations • 16 Aug 2023 • Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic
In this work, we apply LLMs to image generation tasks by directly generating the virtual brush strokes to paint an image.