Luc Van Gool

222

Papers

1,184

Total Citations

Papers (222)

Pose Guided Person Image Generation

NeurIPS 2017arXiv

Single-Model and Any-Modality for Video Object Tracking

Matching Anything by Segmenting Anything

Learning to Prompt with Text Only Supervision for Vision-Language Models

Deep Equilibrium Diffusion Restoration with Parallel Sampling

Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation

Rethinking Few-shot 3D Point Cloud Semantic Segmentation

HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud

A Unified and Interpretable Emotion Representation and Expression Generation

Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes

Consistency Guided Scene Flow Estimation

PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

One2Any: One-Reference 6D Pose Estimation for Any Object

MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures

Joint Vanishing Point Extraction and Tracking

Video Summarization by Learning Submodular Mixtures of Objectives

Metric Imitation by Manifold Transfer for Efficient Vision Applications

3D All The Way: Semantic Segmentation of Urban Scenes From Start to End in 3D

Scale-Aware Alignment of Hierarchical Image Segmentation

A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

Seven Ways to Improve Example-Based Single Image Super Resolution

Fast Algorithms for Linear and Kernel SVM+

Actionness Estimation Using Hybrid Fully Convolutional Networks

Progressive Prioritized Multi-View Stereo

DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns

Some Like It Hot - Visual Guidance for Preference Prediction

One-Shot Video Object Segmentation

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

Weakly Supervised Cascaded Convolutional Networks

Deep Temporal Linear Encoding Networks

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

UntrimmedNets for Weakly Supervised Action Recognition and Detection

Consensus Maximization With Linear Matrix Inequality Constraints

Deep Learning on Lie Groups for Skeleton-Based Action Recognition

Disentangled Person Image Generation

Deep Extreme Cut: From Extreme Points to Object Segmentation

Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning

Appearance-and-Relation Networks for Video Classification

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

RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials

Classification-Driven Dynamic Image Enhancement

Object Referring in Videos With Language and Human Gaze

Conditional Probability Models for Deep Image Compression

WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection

Natural and Effective Obfuscation by Head Inpainting

Dense 3D Regression for Hand Pose Estimation

Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks

Consensus Maximization for Semantic Region Correspondences

Viewpoint-Aware Video Summarization

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Unsupervised Learning of Consensus Maximization for 3D Vision Problems

Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach

DLOW: Domain Flow for Adaptation and Generalization

Sliced Wasserstein Generative Models

Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map

What Correspondences Reveal About Unknown Camera and Motion Models?

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

3D Appearance Super-Resolution With Deep Learning

Practical Full Resolution Learned Lossless Image Compression

Self-Supervised 3D Hand Pose Estimation Through Training by Fitting

Deep Unfolding Network for Image Super-Resolution

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

Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement

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

Probabilistic Regression for Visual Tracking

Learning Better Lossless Compression Using Lossy Compression

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

Flow-Based Kernel Prior With Application to Blind Super-Resolution

Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes

GANmut: Learning Interpretable Conditional Space for Gamut of Emotions

Deep Burst Super-Resolution

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation

CompositeTasking: Understanding Images by Spatial Composition of Tasks

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation

Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces

3D CNNs With Adaptive Temporal Feature Resolutions

Learning Accurate Dense Correspondences and When To Trust Them

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures

DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows

Generative Flows With Invertible Attentions

Uncertainty-Aware Deep Multi-View Photometric Stereo

Revisiting Random Channel Pruning for Neural Network Compression

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

Transforming Model Prediction for Tracking

HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction

Topology Preserving Local Road Network Estimation From Single Onboard Camera Image

Continual Test-Time Domain Adaptation

Adiabatic Quantum Computing for Multi Object Tracking

Arbitrary-Scale Image Synthesis

P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior

Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation

Sound and Visual Representation Learning With Multiple Pretraining Tasks

RePaint: Inpainting Using Denoising Diffusion Probabilistic Models

Scribble-Supervised LiDAR Semantic Segmentation

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation

Rethinking Semantic Segmentation: A Prototype View

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Coarse-To-Fine Feature Mining for Video Semantic Segmentation

LiDAR Snowfall Simulation for Robust 3D Object Detection

Graph Transformer GANs for Graph-Constrained House Generation

SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

Unbalanced Optimal Transport: A Unified Framework for Object Detection

Enhanced Stable View Synthesis

Indiscernible Object Counting in Underwater Scenes

Single Image Depth Prediction Made Better: A Multivariate Gaussian Take

Structured Sparsity Learning for Efficient Video Super-Resolution

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

Event-Based Frame Interpolation With Ad-Hoc Deblurring

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations

Boosting Object Proposals: From Pascal to COCO

DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers

A Gaussian Process Latent Variable Model for BRDF Inference

PathTrack: Fast Trajectory Annotation With Path Supervision

Learned Multi-Patch Similarity

Anchored Regression Networks Applied to Age Estimation and Super Resolution

DSLR-Quality Photos on Mobile Devices With Deep Convolutional Networks

Optimal Transformation Estimation With Semantic Cues

What Is Around the Camera?

Generative Adversarial Networks for Extreme Learned Image Compression

Semi-Supervised Learning by Augmented Distribution Alignment

Self-Guided Network for Fast Image Denoising

Fast Image Restoration With Multi-Bin Trainable Linear Units

Learning Filter Basis for Convolutional Neural Network Compression

Learning Discriminative Model Prediction for Tracking

DynamoNet: Dynamic Action and Motion Network

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

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

Vi2CLR: Video and Image for Visual Contrastive Learning of Representation

Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

Learning Target Candidate Association To Keep Track of What Not To Track

Fourier Space Losses for Efficient Perceptual Image Super-Resolution

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding

Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Exploring Relational Context for Multi-Task Dense Prediction

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution

Warp Consistency for Unsupervised Learning of Dense Correspondences

Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling

Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection

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

Task Switching Network for Multi-Task Learning

Towards Efficient Graph Convolutional Networks for Point Cloud Handling

Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation

DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation

Point-SLAM: Dense Neural Point Cloud-based SLAM

Self-Supervised Burst Super-Resolution

Source-free Depth for Object Pop-out

Surface Normal Clustering for Implicit Representation of Manhattan Scenes

DiffIR: Efficient Diffusion Model for Image Restoration

Improving Online Lane Graph Extraction by Object-Lane Clustering

Introducing Language Guidance in Prompt-based Continual Learning

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Deformable Neural Radiance Fields using RGB and Event Cameras

DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving

Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Learning What to Learn for Video Object Segmentation

Video Object Segmentation with Episodic Graph Memory Networks

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

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

Large Scale Holistic Video Understanding

Modeling the Effects of Windshield Refraction for Camera Calibration

DHP: Differentiable Meta Pruning via HyperNetworks

SCAN: Learning to Classify Images without Labels

Weakly Supervised 3D Object Detection from Lidar Point Cloud

Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

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

Know Your Surroundings: Exploiting Scene Information for Object Tracking

Fixing Localization Errors to Improve Image Classification

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

Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps

Organic Priors in Non-rigid Structure from Motion

Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

Highly Accurate Dichotomous Image Segmentation

Reference-Based Image Super-Resolution with Deformable Attention Transformer

Towards Interpretable Video Super-Resolution via Alternating Optimization

Event-Based Fusion for Motion Deblurring with Cross-Modal Attention

Robust Visual Tracking by Segmentation

Implicit Neural Representations for Image Compression

3D Compositional Zero-Shot Learning with DeCompositional Consensus

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

Learning Online Multi-sensor Depth Fusion

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

UniK3D: Universal Camera Monocular 3D Estimation

Exploration-Driven Generative Interactive Environments

Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community

UniDepth: Universal Monocular Metric Depth Estimation

Equivariant Multi-Modality Image Fusion

Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning

Continuous Pose for Monocular Cameras in Neural Implicit Representation

Real-World Mobile Image Denoising Dataset with Efficient Baselines

Loopy-SLAM: Dense Neural SLAM with Loop Closures

Stereo Risk: A Continuous Modeling Approach to Stereo Matching

Image Fusion via Vision-Language Model

Lightweight Image Super-Resolution via Flexible Meta Pruning

From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement

Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction