Martin Danelljan
Martin Danelljan
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Segment Anything in High Quality
NeurIPS 2023
Extending Segment Anything (SAM) to achieve pixel-accurate segmentations of any object.
Lei Ke
,
Mingqiao Ye
,
Martin Danelljan
,
Yifan Liu
,
Yu-Wing Tai
,
Chi-Keung Tang
Cite
Code
arXiv
BiMatting: Efficient Video Matting via Binarization
NeurIPS 2023
A binary network for highly efficient video matting.
Haotong Qin
,
Lei Ke
,
Xudong Ma
,
Martin Danelljan
,
Yu-Wing Tai
,
Chi-Keung Tang
,
Xianglong Liu
Cite
Code
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
NeurIPS 2023
Quantization method and architecture for super-resolution.
Haotong Qin
,
Yulun Zhang
,
Yifu Ding
,
Yifan Liu
,
Xianglong Liu
,
Martin Danelljan
Cite
Code
Cascade-DETR: Delving into High-Quality Universal Object Detection
ICCV 2023
Cascade attention and IoU-based scoring for object detection.
Mingqiao Ye
,
Lei Ke
,
Siyuan Li
,
Yu-Wing Tai
,
Chi-Keung Tang
,
Martin Danelljan
Cite
Code
arXiv
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
ICCV 2023
A method for 3d reconstruction of dynamic scenes with multi-camera setups.
Aron Schmied
,
Tobias Fischer
,
Martin Danelljan
,
Marc Pollefeys
Cite
Code
arXiv
MolGrapher: Graph-based Visual Recognition of Chemical Structures
ICCV 2023
A graph-based method for chemical structure recognition in documents.
Lucas Morin
,
Martin Danelljan
,
Maria Isabel Agea
,
Ahmed Nassar
,
Valery Weber
,
Ingmar Meijer
,
Peter Staar
Cite
Code
arXiv
Mask-Free Video Instance Segmentation
CVPR 2023
State-of-the-art Video Instance Segmentation without any ground-truth masks for training.
Lei Ke
,
Martin Danelljan
,
Henghui Ding
,
Yu-Wing Tai
,
Chi-Keung Tang
Cite
Code
Project
arXiv
OVTrack: Open-Vocabulary Multiple Object Tracking
CVPR 2023
First method and benchmark for open vocabulary tracking.
Siyuan Li
,
Tobias Fischer
,
Lei Ke
,
Henghui Ding
,
Martin Danelljan
Cite
Project
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations
CVPR 2023
Leveraging implicit models to estimate the output confidence for unsupervised domain adaptation.
Rui Gong
,
Qin Wang
,
Martin Danelljan
,
Dengxin Dai
,
Luc Van Gool
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Code
Project
Dense Gaussian Processes for Few-Shot Segmentation
ECCV 2022
A few-shot learner based on Gaussian Processes for few-shot semantic segmentation.
Joakim Johnander
,
Johan Edstedt
,
Michael Felsberg
,
Fahad Shahbaz Khan
,
Martin Danelljan
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Code
arXiv
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