Luc Van Gool

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ETH Zurich

Professor at ETH Zurich

Learning from Simulation, Racing in Reality

We present a reinforcement learning-based solution to autonomously race ...
11/26/2020 ∙ by Eugenio Chisari, et al. ∙ 0 ∙ share

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Zero-Pair Image to Image Translation using Domain Conditional Normalization

In this paper, we propose an approach based on domain conditional normal...
11/11/2020 ∙ by Samarth Shukla, et al. ∙ 3 ∙ share

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Neural Architecture Search of SPD Manifold Networks

In this paper, we propose a new neural architecture search (NAS) problem...
10/27/2020 ∙ by Rhea Sanjay Sukthanker, et al. ∙ 0 ∙ share

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Self-Supervised Shadow Removal

Shadow removal is an important computer vision task aiming at the detect...
10/22/2020 ∙ by Florin-Alexandru Vasluianu, et al. ∙ 5 ∙ share

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Facial Emotion Recognition with Noisy Multi-task Annotations

Human emotions can be inferred from facial expressions. However, the ann...
10/19/2020 ∙ by Siwei Zhang, et al. ∙ 0 ∙ share

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LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...
10/17/2020 ∙ by Yunchao Wei, et al. ∙ 4 ∙ share

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Self-Supervised Ranking for Representation Learning

We present a new framework for self-supervised representation learning b...
10/14/2020 ∙ by Ali Varamesh, et al. ∙ 0 ∙ share

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SMILE: Semantically-guided Multi-attribute Image and Layout Editing

Attribute image manipulation has been a very active topic since the intr...
10/05/2020 ∙ by Andrés Romero, et al. ∙ 9 ∙ share

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Few-Shot Classification By Few-Iteration Meta-Learning

Learning in a low-data regime from only a few labeled examples is an imp...
10/01/2020 ∙ by Ardhendu Shekhar Tripathi, et al. ∙ 35 ∙ share

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Depth Estimation from Monocular Images and Sparse Radar Data

In this paper, we explore the possibility of achieving a more accurate d...
09/30/2020 ∙ by Juan-Ting Lin, et al. ∙ 2 ∙ share

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Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation

Point cloud semantic segmentation plays an essential role in autonomous ...
09/22/2020 ∙ by Ozan Unal, et al. ∙ 2 ∙ share

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Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

The task of visual grounding requires locating the most relevant region ...
09/18/2020 ∙ by Thierry Deruyttere, et al. ∙ 10 ∙ share

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GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

The feature correlation layer serves as a key neural network module in n...
09/16/2020 ∙ by Prune Truong, et al. ∙ 1 ∙ share

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Plug-and-Play Image Restoration with Deep Denoiser Prior

Recent works on plug-and-play image restoration have shown that a denois...
08/31/2020 ∙ by Kai Zhang, et al. ∙ 1 ∙ share

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Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images

Image features for retrieval-based localization must be invariant to dyn...
08/27/2020 ∙ by Janine Thoma, et al. ∙ 3 ∙ share

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Automated Search for Resource-Efficient Branched Multi-Task Networks

The multi-modal nature of many vision problems calls for neural network ...
08/24/2020 ∙ by David Bruggemann, et al. ∙ 15 ∙ share

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Neural Architecture Search as Sparse Supernet

This paper aims at enlarging the problem of Neural Architecture Search f...
07/31/2020 ∙ by Yan Wu, et al. ∙ 7 ∙ share

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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

Multi-task networks are commonly utilized to alleviate the need for a la...
07/24/2020 ∙ by Menelaos Kanakis, et al. ∙ 14 ∙ share

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Weakly Supervised 3D Object Detection from Lidar Point Cloud

It is laborious to manually label point cloud data for training high-qua...
07/23/2020 ∙ by Qinghao Meng, et al. ∙ 10 ∙ share

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Video Object Segmentation with Episodic Graph Memory Networks

How to make a segmentation model to efficiently adapt to a specific vide...
07/14/2020 ∙ by Xinkai Lu, et al. ∙ 9 ∙ share

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T-Basis: a Compact Representation for Neural Networks

We introduce T-Basis, a novel concept for a compact representation of a ...
07/13/2020 ∙ by Anton Obukhov, et al. ∙ 20 ∙ share

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Learning Accurate and Human-Like Driving using Semantic Maps and Attention

This paper investigates how end-to-end driving models can be improved to...
07/10/2020 ∙ by Simon Hecker, et al. ∙ 0 ∙ share

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Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE

Probabilistic modelling has been an essential tool in medical image anal...
07/09/2020 ∙ by Anna Volokitin, et al. ∙ 34 ∙ share

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Self-Calibration Supported Robust Projective Structure-from-Motion

Typical Structure-from-Motion (SfM) pipelines rely on finding correspond...
07/04/2020 ∙ by Rui Gong, et al. ∙ 19 ∙ share

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Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

This paper studies the problem of learning semantic segmentation from im...
07/03/2020 ∙ by Guolei Sun, et al. ∙ 1 ∙ share

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The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture

In this paper, we tackle the problem of convolutional neural network des...
06/29/2020 ∙ by Yawei Li, et al. ∙ 8 ∙ share

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OpenDVC: An Open Source Implementation of the DVC Video Compression Method

We introduce an open source Tensorflow implementation of the Deep Video ...
06/29/2020 ∙ by Ren Yang, et al. ∙ 0 ∙ share

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Analogical Image Translation for Fog Generation

Image-to-image translation is to map images from a given style to anothe...
06/28/2020 ∙ by Rui Gong, et al. ∙ 0 ∙ share

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SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Super-resolution is an ill-posed problem, since it allows for multiple p...
06/25/2020 ∙ by Andreas Lugmayr, et al. ∙ 20 ∙ share

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Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

The past few years have witnessed increasing interests in applying deep ...
06/24/2020 ∙ by Ren Yang, et al. ∙ 21 ∙ share

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Consistency Guided Scene Flow Estimation

We present Consistency Guided Scene Flow Estimation (CGSF), a framework ...
06/19/2020 ∙ by Yuhua Chen, et al. ∙ 10 ∙ share

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Dense Non-Rigid Structure from Motion: A Manifold Viewpoint

Non-Rigid Structure-from-Motion (NRSfM) problem aims to recover 3D geome...
06/15/2020 ∙ by Suryansh Kumar, et al. ∙ 15 ∙ share

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Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

We address the problem of semantic nighttime image segmentation and impr...
05/28/2020 ∙ by Christos Sakaridis, et al. ∙ 3 ∙ share

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Learning To Classify Images Without Labels

Is it possible to automatically classify images without the use of groun...
05/25/2020 ∙ by Wouter Van Gansbeke, et al. ∙ 36 ∙ share

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Safe Motion Planning for Autonomous Driving using an Adversarial Road Model

This paper presents a game-theoretic path-following formulation where th...
05/15/2020 ∙ by Alexander Liniger, et al. ∙ 0 ∙ share

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Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network

We propose the first practical multitask image enhancement network, that...
05/13/2020 ∙ by Dario Kneubuehler, et al. ∙ 4 ∙ share

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Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

This work studies the problem of predicting the sequence of future actio...
04/29/2020 ∙ by Jan-Nico Zaech, et al. ∙ 5 ∙ share

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Revisiting Multi-Task Learning in the Deep Learning Era

Despite the recent progress in deep learning, most approaches still go f...
04/28/2020 ∙ by Simon Vandenhende, et al. ∙ 1 ∙ share

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SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects

Recent advances in image generation gave rise to powerful tools for sema...
04/10/2020 ∙ by Evangelos Ntavelis, et al. ∙ 10 ∙ share

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Quantifying Data Augmentation for LiDAR based 3D Object Detection

In this work, we shed light on different data augmentation techniques co...
04/03/2020 ∙ by Martin Hahner, et al. ∙ 12 ∙ share

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Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image

Humans perceive the 3D world as a set of distinct objects that are chara...
04/02/2020 ∙ by Despoina Paschalidou, et al. ∙ 9 ∙ share

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DHP: Differentiable Meta Pruning via HyperNetworks

Network pruning has been the driving force for the efficient inference o...
03/30/2020 ∙ by Yawei Li, et al. ∙ 7 ∙ share

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Probabilistic Regression for Visual Tracking

Visual tracking is fundamentally the problem of regressing the state of ...
03/27/2020 ∙ by Martin Danelljan, et al. ∙ 10 ∙ share

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Learning What to Learn for Video Object Segmentation

Video object segmentation (VOS) is a highly challenging problem, since t...
03/25/2020 ∙ by Goutam Bhat, et al. ∙ 3 ∙ share

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Know Your Surroundings: Exploiting Scene Information for Object Tracking

Current state-of-the-art trackers only rely on a target appearance model...
03/24/2020 ∙ by Goutam Bhat, et al. ∙ 2 ∙ share

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Deep Unfolding Network for Image Super-Resolution

Learning-based single image super-resolution (SISR) methods are continuo...
03/23/2020 ∙ by Kai Zhang, et al. ∙ 10 ∙ share

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Learning Better Lossless Compression Using Lossy Compression

We leverage the powerful lossy image compression algorithm BPG to build ...
03/23/2020 ∙ by Fabian Mentzer, et al. ∙ 9 ∙ share

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Geometrically Mappable Image Features

Vision-based localization of an agent in a map is an important problem i...
03/21/2020 ∙ by Janine Thoma, et al. ∙ 2 ∙ share

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Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

In this paper, we analyze two popular network compression techniques, i....
03/19/2020 ∙ by Yawei Li, et al. ∙ 18 ∙ share

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Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets

Automatic discovery of category-specific 3D keypoints from a collection ...
03/17/2020 ∙ by Clara Fernandez-Labrador, et al. ∙ 5 ∙ share

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Luc Van Gool

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