Martin Danelljan
Martin Danelljan
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Arbitrary-Scale Image Synthesis
CVPR 2022
A GAN that generates consistent images at arbitrary scales and resolutions.
Evangelos Ntavelis
,
Mohamad Shahbazi
,
Iason Kastanis
,
Radu Timofte
,
Martin Danelljan
,
Luc Van Gool
Cite
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
ICLR 2022
Analyzing and addressing mode collapse in conditional GANs caused by the conditioning itself.
Mohamad Shahbazi
,
Martin Danelljan
,
Danda Pani Paudel
,
Luc Van Gool
Cite
Code
arXiv
Learnable Online Graph Representations for 3D Multi-Object Tracking
ICRA 2022
An online 3D Multi-Object Tracking method based on graph neural networks.
Jan-Nico Zäch
,
Dengxin Dai
,
Alexander Liniger
,
Martin Danelljan
,
Luc Van Gool
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arXiv
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
NeurIPS 2021
Spotlight
Efficient cross-attention for video instance segmentation.
Lei Ke
,
Xia Li
,
Martin Danelljan
,
Yu-Wing Tai
,
Chi-Keung Tang
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Video
arXiv
Warp Consistency for Unsupervised Learning of Dense Correspondences
ICCV 2021
Oral
Unsupervised method for learning dense correspondences and optical flow on real image pairs.
Prune Truong
,
Martin Danelljan
,
Luc Van Gool
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Code
Project
arXiv
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
ICCV 2021
Oral
Deep optimization-based formulation for multi-frame super-resolution and denoising.
Goutam Bhat
,
Martin Danelljan
,
Luc Van Gool
,
Radu Timofte
Cite
arXiv
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos
ICCV 2021
An optimization-based architecture for converting video bounding box annotations to segmentation masks.
Bin Zhao
,
Goutam Bhat
,
Martin Danelljan
,
Luc Van Gool
,
Radu Timofte
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Code
arXiv
Learning Target Candidate Association to Keep Track of What Not to Track
ICCV 2021
Associating the target and distractor objects for robust visual tracking.
Christoph Mayer
,
Martin Danelljan
,
Danda Pani Paudel
,
Luc Van Gool
Cite
Code
arXiv
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
ICCV 2021
A unified hierarchical normalizing flow architecture for super-resolution and image rescaling.
Jingyun Liang
,
Andreas Lugmayr
,
Kai Zhang
,
Martin Danelljan
,
Luc Van Gool
,
Radu Timofte
Cite
arXiv
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
ICCV 2021
Reducing memory complexity for training semantic segmentation models with large number of classes.
Shipra Jain
,
Danda Pani Paudel
,
Martin Danelljan
,
Luc Van Gool
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Code
arXiv
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