Martin Danelljan

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 208

Top Venues

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Sohyeong Kim, Martin Danelljan, Radu Timofte, Luc Van Gool, Jean-Philippe Thiran
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis. CoRR (2024)
Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan, Vahan Huroyan, Hrant Khachatrian, Martin Danelljan
Analyzing Local Representations of Self-supervised Vision Transformers. CoRR (2024)
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu
Matching Anything by Segmenting Anything. CoRR (2024)
Abdelrahman M. Shaker, Syed Talal Wasim, Martin Danelljan, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan
Efficient Video Object Segmentation via Modulated Cross-Attention Memory. CoRR (2024)
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. ICLR (2024)
Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV (2024)
Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Martin Danelljan, Luc Van Gool
StyleGenes: Discrete and Efficient Latent Distributions for GANs. WACV (2024)
Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg
Recurrent Graph Neural Networks for Video Instance Segmentation. Int. J. Comput. Vis. 131 (2) (2023)
Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) (2023)
Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS (2023)
Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool
StyleGenes: Discrete and Efficient Latent Distributions for GANs. CoRR (2023)
Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. CoRR (2023)
Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Mask-Free Video Instance Segmentation. CVPR (2023)
Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. ICCV (2023)
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
OVTrack: Open-Vocabulary Multiple Object Tracking. CVPR (2023)
Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
Cascade-DETR: Delving into High-Quality Universal Object Detection. ICCV (2023)
Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
BiMatting: Efficient Video Matting via Binarization. NeurIPS (2023)
Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Segment Anything in High Quality. NeurIPS (2023)
Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc Van Gool
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. CoRR (2023)
Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool
Efficient Visual Tracking with Exemplar Transformers. WACV (2023)
Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Segment Anything in High Quality. CoRR (2023)
Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu
MolGrapher: Graph-based Visual Recognition of Chemical Structures. ICCV (2023)
Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. CoRR (2023)
Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
Segment Anything Meets Point Tracking. CoRR (2023)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Trans. Mach. Learn. Res. 2023 (2023)
Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. CoRR (2023)
Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. ICCV (Workshops) (2023)
Jan-Nico Zaech, Martin Danelljan, Luc Van Gool
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CoRR (2023)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? CoRR (2023)
Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu
MolGrapher: Graph-based Visual Recognition of Chemical Structures. CoRR (2023)
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu
OVTrack: Open-Vocabulary Multiple Object Tracking. CoRR (2023)
Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
Cascade-DETR: Delving into High-Quality Universal Object Detection. CoRR (2023)
Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke
Gaussian Grouping: Segment and Edit Anything in 3D Scenes. CoRR (2023)
Asen Nachkov, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
Diffusion-Based Particle-DETR for BEV Perception. CoRR (2023)
Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Mask-Free Video Instance Segmentation. CoRR (2023)
Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool
Fast Online Video Super-Resolution with Deformable Attention Pyramid. WACV (2023)
Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. CVPR (2023)
Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild. CoRR (2022)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Learning Proposals for Practical Energy-Based Regression. AISTATS (2022)
Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. 3DV (2022)
Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. CoRR (2022)
Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu
Fast Hierarchical Learning for Few-Shot Object Detection. CoRR (2022)
Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool
Robust Visual Tracking by Segmentation. ECCV (22) (2022)
Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool
Robust Visual Tracking by Segmentation. CoRR (2022)
Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops (2022)
Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV (2022)
Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Video Mask Transfiner for High-Quality Video Instance Segmentation. ECCV (28) (2022)
Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool
Arbitrary-Scale Image Synthesis. CVPR (2022)
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops (2022)
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
Adiabatic Quantum Computing for Multi Object Tracking. CoRR (2022)
Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR (2022)
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu
Tracking Every Thing in the Wild. CoRR (2022)
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CVPR (2022)
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CoRR (2022)
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (24) (2022)
Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Video Mask Transfiner for High-Quality Video Instance Segmentation. CoRR (2022)
Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool
Fast Online Video Super-Resolution with Deformable Attention Pyramid. CoRR (2022)
Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool
Transforming Model Prediction for Tracking. CoRR (2022)
Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) (2022)
Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. ICLR (2022)
Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7 (2) (2022)
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu
Tracking Every Thing in the Wild. ECCV (22) (2022)
Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. CoRR (2022)
Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. CoRR (2022)
Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild. ECCV (6) (2022)
Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool
Transforming Model Prediction for Tracking. CVPR (2022)
Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Mask Transfiner for High-Quality Instance Segmentation. CVPR (2022)
Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR (2022)
Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC (2022)
Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. CoRR (2022)
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
Adiabatic Quantum Computing for Multi Object Tracking. CVPR (2022)
Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu
Fast Hierarchical Learning for Few-Shot Object Detection. IROS (2022)
Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool
Arbitrary-Scale Image Synthesis. CoRR (2022)
Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) (2022)
Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte
Local Memory Attention for Fast Video Semantic Segmentation. CoRR (2021)
Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan
Deep Gaussian Processes for Few-Shot Segmentation. CoRR (2021)
Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. CoRR (2021)
Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. ICCV (2021)
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
Dense Gaussian Processes for Few-Shot Segmentation. CoRR (2021)
Andreas Lugmayr, Martin Danelljan, Radu Timofte
NTIRE 2021 Learning the Super-Resolution Space Challenge. CVPR Workshops (2021)
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg
Video Instance Segmentation with Recurrent Graph Neural Networks. GCPR (2021)
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
Deep Burst Super-Resolution. CVPR (2021)
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops (2021)
Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
Learning Target Candidate Association to Keep Track of What Not to Track. CoRR (2021)
Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Gunsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW (2021)
Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. CoRR (2021)
Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR (2021)
Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR (2021)
Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. CoRR (2021)
Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR (2021)
Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook. CoRR (2021)
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte
Learning Accurate Dense Correspondences and When to Trust Them. CoRR (2021)
Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Mask Transfiner for High-Quality Instance Segmentation. CoRR (2021)
Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. ICCV (2021)
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
Deep Burst Super-Resolution. CoRR (2021)
Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
Learning Target Candidate Association to Keep Track of What Not to Track. ICCV (2021)
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool
Warp Consistency for Unsupervised Learning of Dense Correspondences. ICCV (2021)
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte
Learning Accurate Dense Correspondences and When To Trust Them. CVPR (2021)

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Publication Activity (10 Years)

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Martin Danelljan