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papers

Publications (134)

cs.CV2017

Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

Ali Diba, Mohsen Fayyaz, Vivek Sharma +4

cs.AI2018

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Andrey Ignatov, Radu Timofte, William Chou +4

cs.CV2016

Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images

Limin Wang, Zhe Wang, Yu Qiao +1

cs.CV2016

Failure Detection for Facial Landmark Detectors

Andreas Steger, Radu Timofte, Luc Van Gool

cs.CV2018

Viewpoint-aware Video Summarization

Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku +1

cs.CV2018

Object Referring in Videos with Language and Human Gaze

Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

cs.CV2017

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks

Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2

cs.CV2019

DynamoNet: Dynamic Action and Motion Network

Ali Diba, Vivek Sharma, Luc Van Gool +1

cs.CV2018

WESPE: Weakly Supervised Photo Enhancer for Digital Cameras

Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2

cs.CV2017

Object Referring in Visual Scene with Spoken Language

Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

cs.CV2019

DLOW: Domain Flow for Adaptation and Generalization

Rui Gong, Wen Li, Yuhua Chen +1

cs.CV2017

Query-adaptive Video Summarization via Quality-aware Relevance Estimation

Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin +1

cs.CV2019

Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency

Liqian Ma, Xu Jia, Stamatios Georgoulis +2

cs.CV2017

Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation

Chengde Wan, Thomas Probst, Luc Van Gool +1

cs.CV2018

Video Object Segmentation Without Temporal Information

Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen +4

cs.CV2018

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Yuhua Chen, Wen Li, Luc Van Gool

cs.CV2017

WebVision Challenge: Visual Learning and Understanding With Web Data

Wen Li, Limin Wang, Wei Li +5

cs.CV2019

Real-time 3D Traffic Cone Detection for Autonomous Driving

Ankit Dhall, Dengxin Dai, Luc Van Gool

cs.CV2017

One-Shot Video Object Segmentation

Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset +3

cs.SD2016

Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection

Naoya Takahashi, Michael Gygli, Beat Pfister +1

cs.CV2016

Direction matters: hand pose estimation from local surface normals

Chengde Wan, Angela Yao, Luc Van Gool

cs.CV2018

Disentangled Person Image Generation

Liqian Ma, Qianru Sun, Stamatios Georgoulis +3

cs.LG2016

Dynamic Filter Networks

Bert De Brabandere, Xu Jia, Tinne Tuytelaars +1

cs.CV2019

Learning Accurate, Comfortable and Human-like Driving

Simon Hecker, Dengxin Dai, Luc Van Gool

cs.CV2016

Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance

Vivek Sharma, Sule Yildirim-Yayilgan, Luc Van Gool

cs.LG2016

k2-means for fast and accurate large scale clustering

Eirikur Agustsson, Radu Timofte, Luc Van Gool

cs.CV2018

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

Christos Sakaridis, Dengxin Dai, Simon Hecker +1

cs.CV2018

Iterative Deep Learning for Road Topology Extraction

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles +2

cs.CV2019

A Three-Player GAN: Generating Hard Samples To Improve Classification Networks

Simon Vandenhende, Bert De Brabandere, Davy Neven +1

cs.CV2016

Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition

Vivek Sharma, Luc Van Gool

cs.CV2019

Sliced Wasserstein Generative Models

Jiqing Wu, Zhiwu Huang, Dinesh Acharya +4

cs.CV2018

Appearance-and-Relation Networks for Video Classification

Limin Wang, Wei Li, Wen Li +1

cs.CV2015

DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers

Amir Ghodrati, Ali Diba, Marco Pedersoli +2

cs.CV2017

Deep Domain Adaptation by Geodesic Distance Minimization

Yifei Wang, Wen Li, Dengxin Dai +1

cs.CV2016

Generic 3D Convolutional Fusion for image restoration

Jiqing Wu, Radu Timofte, Luc Van Gool

cs.CV2019

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi +3

cs.CV2017

Face Translation between Images and Videos using Identity-aware CycleGAN

Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel +2

cs.CV2018

Natural and Effective Obfuscation by Head Inpainting

Qianru Sun, Liqian Ma, Seong Joon Oh +3

cs.CV2018

Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length

Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli +1

cs.CV2015

Seven ways to improve example-based single image super resolution

Radu Timofte, Rasmus Rothe, Luc Van Gool

cs.CV2017

Detection-aided liver lesion segmentation using deep learning

Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset +3

cs.LG2017

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Eirikur Agustsson, Fabian Mentzer, Michael Tschannen +4

cs.CV2016

A Riemannian Network for SPD Matrix Learning

Zhiwu Huang, Luc Van Gool

cs.CV2017

Temporal Segment Networks for Action Recognition in Videos

Limin Wang, Yuanjun Xiong, Zhe Wang +4

cs.CV2017

Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos

Jie Song, Limin Wang, Luc Van Gool +1

cs.CV2019

Sliced Wasserstein Generative Models

Jiqing Wu, Zhiwu Huang, Dinesh Acharya +4

cs.CV2018

Building Deep Networks on Grassmann Manifolds

Zhiwu Huang, Jiqing Wu, Luc Van Gool

cs.CV2019

Conditional Probability Models for Deep Image Compression

Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2

cs.CV2019

Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map

Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +2

cs.CV2016

Convolutional Oriented Boundaries

Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez +1

cs.CV2017

Fast Scene Understanding for Autonomous Driving

Davy Neven, Bert De Brabandere, Stamatios Georgoulis +2

cs.CV2017

The WILDTRACK Multi-Camera Person Dataset

Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet +6

cs.CV2016

Is Image Super-resolution Helpful for Other Vision Tasks?

Dengxin Dai, Yujian Wang, Yuhua Chen +1

cs.LG2018

Optimal transport maps for distribution preserving operations on latent spaces of Generative Models

Eirikur Agustsson, Alexander Sage, Radu Timofte +1

cs.CV2016

Some like it hot - visual guidance for preference prediction

Rasmus Rothe, Radu Timofte, Luc Van Gool

cs.CV2017

Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery

Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli +3

cs.CV2018

Semantically-Guided Video Object Segmentation

Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset +1

cs.CV2016

Energy-Efficient ConvNets Through Approximate Computing

Bert Moons, Bert De Brabandere, Luc Van Gool +1

cs.CV2016

DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns

Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash +1

cs.CV2017

Semantic Instance Segmentation with a Discriminative Loss Function

Bert De Brabandere, Davy Neven, Luc Van Gool

cs.CV2016

Actionness Estimation Using Hybrid Fully Convolutional Networks

Limin Wang, Yu Qiao, Xiaoou Tang +1

cs.CV2018

The 2018 DAVIS Challenge on Video Object Segmentation

Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis +4

cs.CV2017

On the Relation between Color Image Denoising and Classification

Jiqing Wu, Radu Timofte, Zhiwu Huang +1

cs.CV2018

Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning

Dengxin Dai, Wen Li, Till Kroeger +1

cs.CV2019

A Novel BiLevel Paradigm for Image-to-Image Translation

Liqian Ma, Qianru Sun, Bernt Schiele +1

cs.CV2018

Failure Prediction for Autonomous Driving

Simon Hecker, Dengxin Dai, Luc Van Gool

cs.CV2018

Deep Extreme Cut: From Extreme Points to Object Segmentation

Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset +1

cs.CV2017

What Is Around The Camera?

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel +3

cs.MM2017

AENet: Learning Deep Audio Features for Video Analysis

Naoya Takahashi, Michael Gygli, Luc Van Gool

cs.CV2019

Semantic Foggy Scene Understanding with Synthetic Data

Christos Sakaridis, Dengxin Dai, Luc Van Gool

cs.CV2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach

Davy Neven, Bert De Brabandere, Stamatios Georgoulis +2

cs.CV2019

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

Chengde Wan, Thomas Probst, Luc Van Gool +1

cs.CV2016

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Limin Wang, Yuanjun Xiong, Zhe Wang +4

cs.CV2018

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Yuhua Chen, Wen Li, Christos Sakaridis +2

cs.CV2014

Random Binary Mappings for Kernel Learning and Efficient SVM

Gemma Roig, Xavier Boix, Luc Van Gool

cs.CL2017

Speech-Based Visual Question Answering

Ted Zhang, Dengxin Dai, Tinne Tuytelaars +2

cs.CV2017

Error Correction for Dense Semantic Image Labeling

Yu-Hui Huang, Xu Jia, Stamatios Georgoulis +2

cs.CV2017

WebVision Database: Visual Learning and Understanding from Web Data

Wen Li, Limin Wang, Wei Li +2

cs.CV2019

Spatio-Temporal Channel Correlation Networks for Action Classification

Ali Diba, Mohsen Fayyaz, Vivek Sharma +4

cs.CV2018

Adversarial Binary Coding for Efficient Person Re-identification

Zheng Liu, Jie Qin, Annan Li +2

cs.CV2017

Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video

Zhiwu Huang, Ruiping Wang, Shiguang Shan +2

cs.CV2017

Iterative Deep Learning for Network Topology Extraction

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles +2

cs.CV2016

Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition

Zhiwu Huang, Ruiping Wang, Xianqiu Li +4

cs.CV2015

Oracle MCG: A first peek into COCO Detection Challenges

Jordi Pont-Tuset, Pablo Arbeláez, Luc Van Gool

cs.CV2018

Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

Dengxin Dai, Luc Van Gool

cs.CV2016

Deep Temporal Linear Encoding Networks

Ali Diba, Vivek Sharma, Luc Van Gool

cs.CV2018

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

Simon Hecker, Dengxin Dai, Luc Van Gool

cs.CV2019

Fast video object segmentation with Spatio-Temporal GANs

Sergi Caelles, Albert Pumarola, Francesc Moreno-Noguer +2

cs.CV2016

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel +3

cs.CV2019

Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding

Dengxin Dai, Christos Sakaridis, Simon Hecker +1

cs.CV2018

Progressive Structure from Motion

Alex Locher, Michal Havlena, Luc Van Gool

cs.CV2018

DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition

Louis Lettry, Kenneth Vanhoey, Luc Van Gool

cs.CV2018

Improving Video Generation for Multi-functional Applications

Bernhard Kratzwald, Zhiwu Huang, Danda Pani Paudel +2

cs.CV2018

An Analysis of Human-centered Geolocation

Kaili Wang, Yu-Hui Huang, Jose Oramas +2

cs.CV2016

Fast Optical Flow using Dense Inverse Search

Till Kroeger, Radu Timofte, Dengxin Dai +1

cs.CV2018

Wasserstein Divergence for GANs

Jiqing Wu, Zhiwu Huang, Janine Thoma +2

cs.CV2019

Night-to-Day Image Translation for Retrieval-based Localization

Asha Anoosheh, Torsten Sattler, Radu Timofte +2

cs.CV2017

Dense 3D Regression for Hand Pose Estimation

Chengde Wan, Thomas Probst, Luc Van Gool +1

cs.CV2017

PathTrack: Fast Trajectory Annotation with Path Supervision

Santiago Manen, Michael Gygli, Dengxin Dai +1

cs.CV2014

Comment on "Ensemble Projection for Semi-supervised Image Classification"

Xavier Boix, Gemma Roig, Luc Van Gool