← Authors

Luc V Gool

16 papers · 2011–2023 · 1 conference · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (43) πŸ’Ž Century Club (16) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (82)

Conferences

NIPS (16)

Top co-authors

Luc V. Gool (7) Radu Timofte (5) Tinne Tuytelaars (2) Zhejun Zhang (1) Matthieu Guillaumin (1) Jingyun Liang (1) Federico Tombari (1) Christos Sakaridis (1) Gemma Roig (1) Yongqin Xian (1)

Keywords

representation learning (3) transformer architecture (3) semantic segmentation (2) contrastive learning (2) image compression (2) stochastic gradient descent (1) vision-language navigation (1) neural network compression (1) online learning (1) multimodal learning (1) metric learning (1) feature extraction (1) compressive sensing (1) object recognition (1) video prediction (1) similarity learning (1) image retrieval (1) self-supervised learning (1) zero-shot learning (1) image classification (1)

Papers

LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer NIPS 2023
Autodecoding Latent 3D Diffusion Models NIPS 2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union NIPS 2023
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding NIPS 2023
Recurrent Video Restoration Transformer with Guided Deformable Attention NIPS 2022
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification NIPS 2022
Towards Versatile Embodied Navigation NIPS 2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging NIPS 2022
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations NIPS 2021
Soft Contrastive Learning for Visual Localization NIPS 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network NIPS 2020
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NIPS 2017
Dynamic Filter Networks NIPS 2016
Quantized Kernel Learning for Feature Matching NIPS 2014
Self-Adaptable Templates for Feature Coding NIPS 2014
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011