Luc Van Gool

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ETH Zurich

Professor at ETH Zurich

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. ∙ 18 ∙ 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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Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds

Humans can robustly recognize and localize objects by integrating visual...
03/09/2020 ∙ by Arun Balajee Vasudevan, et al. ∙ 8 ∙ share

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Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

The recent years have witnessed the great potential of deep learning for...
03/04/2020 ∙ by Ren Yang, et al. ∙ 23 ∙ share

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Replacing Mobile Camera ISP with a Single Deep Learning Model

As the popularity of mobile photography is growing constantly, lots of e...
02/13/2020 ∙ by Andrey Ignatov, et al. ∙ 15 ∙ share

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MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

In this paper, we highlight the importance of considering task interacti...
01/19/2020 ∙ by Simon Vandenhende, et al. ∙ 9 ∙ share

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Don't Forget The Past: Recurrent Depth Estimation from Monocular Video

Autonomous cars need continuously updated depth information. Thus far, t...
01/08/2020 ∙ by Vaishakh Patil, et al. ∙ 29 ∙ share

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Efficient Video Semantic Segmentation with Labels Propagation and Refinement

This paper tackles the problem of real-time semantic segmentation of hig...
12/26/2019 ∙ by Matthieu Paul, et al. ∙ 20 ∙ share

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Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing

Nowadays, the increasingly growing number of mobile and computing device...
12/15/2019 ∙ by Suman Saha, et al. ∙ 10 ∙ share

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Towards Partial Supervision for Generic Object Counting in Natural Scenes

Generic object counting in natural scenes is a challenging computer visi...
12/13/2019 ∙ by Hisham Cholakkal, et al. ∙ 9 ∙ share

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Self-supervised Object Motion and Depth Estimation from Video

We present a self-supervised learning framework to estimate the individu...
12/09/2019 ∙ by Qi Dai, et al. ∙ 14 ∙ share

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Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement

This paper introduces a divide-and-conquer inspired adversarial learning...
10/23/2019 ∙ by Zhiwu Huang, et al. ∙ 15 ∙ share

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AI Benchmark: All About Deep Learning on Smartphones in 2019

The performance of mobile AI accelerators has been evolving rapidly in t...
10/15/2019 ∙ by Andrey Ignatov, et al. ∙ 0 ∙ share

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Semantic Understanding of Foggy Scenes with Purely Synthetic Data

This work addresses the problem of semantic scene understanding under fo...
10/09/2019 ∙ by Martin Hahner, et al. ∙ 7 ∙ share

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Talk2Nav: Long-Range Vision-and-Language Navigation in Cities

Autonomous driving models often consider the goal as fixed at the start ...
10/04/2019 ∙ by Arun Balajee Vasudevan, et al. ∙ 21 ∙ share

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Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision

In this paper, we formulate a generic non-minimal solver using the exist...
09/26/2019 ∙ by Thomas Probst, et al. ∙ 23 ∙ share

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Talk2Car: Taking Control of Your Self-Driving Car

A long-term goal of artificial intelligence is to have an agent execute ...
09/24/2019 ∙ by Thierry Deruyttere, et al. ∙ 20 ∙ share

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Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation

Recent advances in generative models and adversarial training have led t...
09/18/2019 ∙ by Samarth Shukla, et al. ∙ 13 ∙ share

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Texture Underfitting for Domain Adaptation

Comprehensive semantic segmentation is one of the key components for rob...
08/29/2019 ∙ by Jan-Nico Zaech, et al. ∙ 8 ∙ share

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Learning Filter Basis for Convolutional Neural Network Compression

Convolutional neural networks (CNNs) based solutions have achieved state...
08/23/2019 ∙ by Yawei Li, et al. ∙ 12 ∙ share

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Dual Grid Net: hand mesh vertex regression from single depth maps

We present a method for recovering the dense 3D surface of the hand by r...
07/24/2019 ∙ by Chengde Wan, et al. ∙ 1 ∙ share

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Learning a Curve Guardian for Motorcycles

Up to 17 through a curve and the main cause of curve accidents can be at...
07/12/2019 ∙ by Simon Hecker, et al. ∙ 3 ∙ share

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Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Current state-of-the-art instance segmentation methods are not suited fo...
06/26/2019 ∙ by Davy Neven, et al. ∙ 2 ∙ share

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Gated CRF Loss for Weakly Supervised Semantic Image Segmentation

State-of-the-art approaches for semantic segmentation rely on deep convo...
06/11/2019 ∙ by Anton Obukhov, et al. ∙ 1 ∙ share

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Luc Van Gool

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