Peter Gehler | DeepAI

DeepAI

Featured Co-authors

Yoshua Bengio
418 publications
Bernhard Schölkopf
235 publications
Bernt Schiele
143 publications
Michael J. Black
99 publications
Thomas Brox
99 publications
Yi Zhu
82 publications
Stefan Bauer
63 publications
Matthias Bethge
59 publications
Dominik Janzing
50 publications
Francesco Locatello
44 publications
Tobias Ritschel
43 publications

∙ 09/23/2022

TeST: Test-time Self-Training under Distribution Shift

Despite their recent success, deep neural networks continue to perform p...

Samarth Sinha, et al. ∙

∙ 10/13/2021

Unsupervised Object Learning via Common Fate

Learning generative object models from unlabelled videos is a long stand...

Matthias Tangemann, et al. ∙

∙ 10/12/2021

Dynamic Inference with Neural Interpreters

Modern neural network architectures can leverage large amounts of data t...

Nasim Rahaman, et al. ∙

∙ 10/11/2021

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction

Predicting the future trajectory of a moving agent can be easy when the ...

Osama Makansi, et al. ∙

∙ 09/30/2021

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Contrastive learning allows us to flexibly define powerful losses by con...

Mohammadreza Zolfaghari, et al. ∙

∙ 07/17/2021

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

An important component for generalization in machine learning is to unco...

Lukas Schott, et al. ∙

∙ 07/12/2021

Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning

Learning data representations that are useful for various downstream tas...

Andrea Dittadi, et al. ∙

∙ 07/02/2021

Backward-Compatible Prediction Updates: A Probabilistic Approach

When machine learning systems meet real world applications, accuracy is ...

Frederik Träuble, et al. ∙

∙ 06/15/2021

Towards Total Recall in Industrial Anomaly Detection

Being able to spot defective parts is a critical component in large-scal...

Karsten Roth, et al. ∙

∙ 04/27/2021

Adapting ImageNet-scale models to complex distribution shifts with self-learning

While self-learning methods are an important component in many recent do...

Evgenia Rusak, et al. ∙

∙ 04/27/2020

Towards causal generative scene models via competition of experts

Learning how to model complex scenes in a modular way with recombinable ...

Julius von Kügelgen, et al. ∙

∙ 05/30/2018

Rehabilitating the Color Checker Dataset for Illuminant Estimation

In a previous work, it was shown that there is a curious problem with th...

Ghalia Hemrit, et al. ∙

∙ 05/09/2018

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

Modern deep learning systems successfully solve many perception tasks su...

Sergey Prokudin, et al. ∙

∙ 07/27/2016

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

We describe the first method to automatically estimate the 3D pose of th...

Federica Bogo, et al. ∙

∙ 03/17/2015

3D Object Class Detection in the Wild

Object class detection has been a synonym for 2D bounding box localizati...

Bojan Pepik, et al. ∙

∙ 12/20/2013

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data

While the majority of today's object class models provide only 2D boundi...

Bojan Pepik, et al. ∙