Gool, Luc V.

16 publications

NeurIPS 2023 Autodecoding Latent 3D Diffusion Models Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc V Gool, Sergey Tulyakov

NeurIPS 2023 LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer Haoyu Chen, Hao Tang, Radu Timofte, Luc V Gool, Guoying Zhao

NeurIPS 2023 Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc V Gool

NeurIPS 2023 Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-Grained Intersection over Union Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc V Gool, Jiaqian Yu, Matthew Blaschko

NeurIPS 2022 Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc V Gool

NeurIPS 2022 I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification Muhammad Ferjad Naeem, Yongqin Xian, Luc V Gool, Federico Tombari

NeurIPS 2022 Recurrent Video Restoration Transformer with Guided Deformable Attention Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc V Gool

NeurIPS 2022 Towards Versatile Embodied Navigation Hanqing Wang, Wei Liang, Luc V Gool, Wenguan Wang

NeurIPS 2021 Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc V Gool

NeurIPS 2020 GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong, Martin Danelljan, Luc V. Gool, Radu Timofte

NeurIPS 2020 Soft Contrastive Learning for Visual Localization Janine Thoma, Danda Pani Paudel, Luc V. Gool

NeurIPS 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc V. Gool

NeurIPS 2016 Dynamic Filter Networks Xu Jia, Bert De Brabandere, Tinne Tuytelaars, Luc V. Gool

NeurIPS 2014 Quantized Kernel Learning for Feature Matching Danfeng Qin, Xuanli Chen, Matthieu Guillaumin, Luc V. Gool

NeurIPS 2014 Self-Adaptable Templates for Feature Coding Xavier Boix, Gemma Roig, Salomon Diether, Luc V. Gool

NeurIPS 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities Angela Yao, Juergen Gall, Luc V. Gool, Raquel Urtasun