Luc Van Gool

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ETH Zurich

Professor at ETH Zurich

Efficient Conditional GAN Transfer with Knowledge Propagation across Classes

Generative adversarial networks (GANs) have shown impressive results in ...
02/12/2021 ∙ by Mohamad Shahbazi, et al. ∙ 16 ∙ share

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Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Being able to learn dense semantic representations of images without sup...
02/11/2021 ∙ by Wouter Van Gansbeke, et al. ∙ 9 ∙ share

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Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Current semantic segmentation methods focus only on mining "local" conte...
01/28/2021 ∙ by Wenguan Wang, et al. ∙ 0 ∙ share

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Deep Burst Super-Resolution

While single-image super-resolution (SISR) has attracted substantial int...
01/26/2021 ∙ by Goutam Bhat, et al. ∙ 27 ∙ share

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Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets

This work studies Hyperspectral image (HSI) super-resolution (SR). HSI S...
01/19/2021 ∙ by Ke Li, et al. ∙ 17 ∙ share

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Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution

This paper proposes a trilevel neural architecture search (NAS) method f...
01/17/2021 ∙ by Yan Wu, et al. ∙ 0 ∙ share

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DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows

The difficulty of obtaining paired data remains a major bottleneck for l...
01/14/2021 ∙ by Valentin Wolf, et al. ∙ 6 ∙ share

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Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos

Segmenting objects in videos is a fundamental computer vision task. The ...
01/06/2021 ∙ by Bin Zhao, et al. ∙ 6 ∙ share

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Local Memory Attention for Fast Video Semantic Segmentation

We propose a novel neural network module that transforms an existing sin...
01/05/2021 ∙ by Matthieu Paul, et al. ∙ 4 ∙ share

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Learning Accurate Dense Correspondences and When to Trust Them

Establishing dense correspondences between a pair of images is an import...
01/05/2021 ∙ by Prune Truong, et al. ∙ 14 ∙ share

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Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes

Monocular depth reconstruction of complex and dynamic scenes is a highly...
12/31/2020 ∙ by Ayça Takmaz, et al. ∙ 7 ∙ share

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An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

Video enhancement is a challenging problem, more than that of stills, ma...
12/24/2020 ∙ by Dario Fuoli, et al. ∙ 16 ∙ share

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Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation

Training deep networks for semantic segmentation requires large amounts ...
12/19/2020 ∙ by Lukas Hoyer, et al. ∙ 9 ∙ share

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CompositeTasking: Understanding Images by Spatial Composition of Tasks

We define the concept of CompositeTasking as the fusion of multiple, spa...
12/16/2020 ∙ by Nikola Popovic, et al. ∙ 0 ∙ share

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mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets

Object recognition advances very rapidly these days. One challenge is to...
12/15/2020 ∙ by Rui Gong, et al. ∙ 0 ∙ share

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Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation

Open compound domain adaptation (OCDA) is a domain adaptation setting, w...
12/15/2020 ∙ by Rui Gong, et al. ∙ 0 ∙ share

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Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU

The state-of-the-art object detection and image classification methods c...
12/14/2020 ∙ by Shipra Jain, et al. ∙ 0 ∙ share

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Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces

This paper presents an uncalibrated deep neural network framework for th...
12/12/2020 ∙ by Berk Kaya, et al. ∙ 5 ∙ share

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Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space

The distribution of a neural network's latent representations has been s...
12/05/2020 ∙ by Janis Postels, et al. ∙ 0 ∙ share

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Understanding Bird's-Eye View Semantic HD-Maps Using an Onboard Monocular Camera

Autonomous navigation requires scene understanding of the action-space t...
12/05/2020 ∙ by Yigit Baran Can, et al. ∙ 0 ∙ share

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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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Luc Van Gool

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