Luc V Gool
16 papers · 2011–2023 · 1 venue · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (45) 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🧬 Topic Evolution
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Keyword Pioneer
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Trend Setter
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Keyword Collector
(86)
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Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Computer Vision
(11)
Core Methods
(9)
Deep Learning
(8)
Analysis
(8)
Architectures
(6)
Artificial Intelligence
(4)
Core AI · Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Processing
(4)
Learning Types · Machine Learning
(3)
Models
(3)
Optimization & Theory
(3)
Application Areas
(2)
Core AI · Computer Vision
(2)
Keywords
transformer architecture
(3)
representation learning
(3)
semantic segmentation
(2)
contrastive learning
(2)
image classification
(2)
image compression
(2)
stochastic gradient descent
(1)
online learning
(1)
neural network compression
(1)
multi-task learning
(1)
video prediction
(1)
vision-language navigation
(1)
feature extraction
(1)
compressive sensing
(1)
metric learning
(1)
feature quantization
(1)
similarity learning
(1)
image retrieval
(1)
object recognition
(1)
zero-shot learning
(1)
Papers
Autodecoding Latent 3D Diffusion Models
NeurIPS 2023
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
NeurIPS 2023
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
NeurIPS 2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
NeurIPS 2023
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
NeurIPS 2022
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
NeurIPS 2022
Recurrent Video Restoration Transformer with Guided Deformable Attention
NeurIPS 2022
Towards Versatile Embodied Navigation
NeurIPS 2022
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
NeurIPS 2021
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
NeurIPS 2020
Soft Contrastive Learning for Visual Localization
NeurIPS 2020
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
NeurIPS 2017
Dynamic Filter Networks
NeurIPS 2016
Quantized Kernel Learning for Feature Matching
NeurIPS 2014
Self-Adaptable Templates for Feature Coding
NeurIPS 2014
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities
NeurIPS 2011