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Local Memory Attention for Fast Video Semantic Segmentation
IROS 2021
A local memory cross-attention module for fast video semantic segmentation.
Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte
Cite Code arXiv
Local Memory Attention for Fast Video Semantic Segmentation
Learning Accurate Dense Correspondences and When to Trust Them
CVPR 2021 Oral
A method that gives you accurate dense optical flow and correspondences with robust uncertainty.
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte
Cite Code Project Video arXiv
Learning Accurate Dense Correspondences and When to Trust Them
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
CVPR 2021 Oral
A novel unpaired learning formulation for conditional normalizing flows with applications to learning image degradations.
Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
Cite Code Video arXiv
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
Deep Burst Super-Resolution
CVPR 2021
An attention based architecture and real-world dataset for burst super-resolution.
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
Cite Video arXiv
Deep Burst Super-Resolution
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
CVPR 2021
We tackle the problem of convolutional neural network design by adjusting the channel configurations of predefined networks.
Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte
Cite arXiv
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
Few-Shot Classification By Few-Iteration Meta-Learning
ICRA 2021
An optimization-based meta-learning approach for few-shot classification.
Ardhendu Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte
Cite Code Video arXiv
Few-Shot Classification By Few-Iteration Meta-Learning
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
NeurIPS 2020
Dataset and method for generating vector graphics.
Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte
Cite Code Project Video arXiv
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
NeurIPS 2020
A fully differentiable dense matching module for your correspondence or optical flow network.
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte
Cite Code Project Video arXiv
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
How to Train Your Energy-Based Model for Regression
BMVC 2020
Investigating how to train a deep energy-based model for accurate regression.
Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas Schön
Cite Code Video arXiv Code Tracking Slides
How to Train Your Energy-Based Model for Regression
Learning What to Learn for Video Object Segmentation
ECCV 2020 Oral
An optimization-based few-shot learner for VOS.
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte
Cite Code arXiv Video (10 min) Video (2 min)
Learning What to Learn for Video Object Segmentation