Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDMartin Danelljan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[c64]Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR 2021: 94-103- [c63]Andreas Lugmayr, Martin Danelljan, Radu Timofte:
NTIRE 2021 Learning the Super-Resolution Space Challenge. CVPR Workshops 2021: 596-612 - [c62]Goutam Bhat, Martin Danelljan, Radu Timofte:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CVPR Workshops 2021: 613-626 - [c61]Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153 - [c60]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops 2021: 2855-2864 - [c59]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When To Trust Them. CVPR 2021: 5714-5724 - [c58]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218 - [c57]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 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: 2711-2738 - [c56]Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Fast Few-Shot Classification by Few-Iteration Meta-Learning. ICRA 2021: 9522-9528 - [c55]Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. IROS 2021: 1102-1109 - [i61]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. CoRR abs/2101.01710 (2021) - [i60]Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. CoRR abs/2101.01715 (2021) - [i59]Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. CoRR abs/2101.02196 (2021) - [i58]Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. CoRR abs/2101.05796 (2021) - [i57]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CoRR abs/2101.10997 (2021) - [i56]Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan:
Deep Gaussian Processes for Few-Shot Segmentation. CoRR abs/2103.16549 (2021) - [i55]Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Learning Target Candidate Association to Keep Track of What Not to Track. CoRR abs/2103.16556 (2021) - [i54]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. CoRR abs/2104.03308 (2021) - [i53]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR abs/2104.11747 (2021) - [i52]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 abs/2106.03839 (2021) - [i51]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 abs/2106.11958 (2021) - [i50]Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. CoRR abs/2108.05301 (2021) - [i49]Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR abs/2108.08286 (2021) - [i48]Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. CoRR abs/2109.04813 (2021) - [i47]Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. CoRR abs/2109.13912 (2021) - [i46]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. CoRR abs/2110.03674 (2021) - [i45]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. CoRR abs/2110.11948 (2021) - [i44]Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. CoRR abs/2111.03649 (2021) - [i43]Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask Transfiner for High-Quality Instance Segmentation. CoRR abs/2111.13673 (2021) - [i42]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 abs/2112.02838 (2021) - [i41]Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. CoRR abs/2112.09686 (2021) - 2020
- [c54]Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. BMVC 2020 - [c53]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CVPR Workshops 2020: 1289-1298 - [c52]Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CVPR Workshops 2020: 1962-1974 - [c51]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CVPR Workshops 2020: 2058-2076 - [c50]Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection Using Interaction Points. CVPR 2020: 4115-4124 - [c49]Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. CVPR 2020: 6257-6267 - [c48]Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CVPR 2020: 7181-7190 - [c47]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CVPR 2020: 7404-7413 - [c46]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c45]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. ECCV (23) 2020: 205-221 - [c44]Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
Energy-Based Models for Deep Probabilistic Regression. ECCV (20) 2020: 325-343 - [c43]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c42]Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. ECCV (3) 2020: 661-679 - [c41]Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. ECCV (5) 2020: 715-732 - [c40]Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. ECCV (2) 2020: 777-794 - [c39]Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. NeurIPS 2020 - [c38]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. NeurIPS 2020 - [i40]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CoRR abs/2003.00908 (2020) - [i39]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. CoRR abs/2003.11014 (2020) - [i38]Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. CoRR abs/2003.11540 (2020) - [i37]Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CoRR abs/2003.12565 (2020) - [i36]Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection using Interaction Points. CoRR abs/2003.14023 (2020) - [i35]Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. CoRR abs/2005.01698 (2020) - [i34]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/2005.01996 (2020) - [i33]Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CoRR abs/2005.02291 (2020) - [i32]Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. CoRR abs/2006.14200 (2020) - [i31]Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture. CoRR abs/2006.16242 (2020) - [i30]Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. CoRR abs/2007.07020 (2020) - [i29]Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. CoRR abs/2007.11301 (2020) - [i28]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i27]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. CoRR abs/2009.07823 (2020) - [i26]Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Few-Shot Classification By Few-Iteration Meta-Learning. CoRR abs/2010.00511 (2020) - [i25]Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Learning Video Instance Segmentation with Recurrent Graph Neural Networks. CoRR abs/2012.03911 (2020) - [i24]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection using Energy-Based Models. CoRR abs/2012.04634 (2020) - [i23]Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. CoRR abs/2012.07489 (2020)
2010 – 2019
- 2019
- [j3]Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion and appearance cues for visual tracking. Pattern Recognit. Lett. 124: 74-81 (2019) - [j2]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic Data Generation for End-to-End Thermal Infrared Tracking. IEEE Trans. Image Process. 28(4): 1837-1850 (2019) - [c37]Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Tracking the Known and the Unknown by Leveraging Semantic Information. BMVC 2019: 292 - [c36]Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CVPR 2019: 4660-4669 - [c35]Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-To-End Video Object Segmentation. CVPR 2019: 8953-8962 - [c34]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. ICCV 2019: 4009-4018 - [c33]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. ICCV 2019: 6181-6190 - [c32]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c31]Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. ICCV Workshops 2019: 2252-2261 - [c30]Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. ICCV Workshops 2019: 3408-3416 - [c29]Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte:
DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops 2019: 3512-3516 - [c28]Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564 - [c27]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c26]Sohyeong Kim, Guanju Li, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Shuhang Gu, Radu Timofte:
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. ICCV Workshops 2019: 3609-3616 - [i22]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. CoRR abs/1904.07220 (2019) - [i21]Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Online Learning for Fast Video Object Segmentation. CoRR abs/1904.08630 (2019) - [i20]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CoRR abs/1906.01620 (2019) - [i19]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. CoRR abs/1908.00855 (2019) - [i18]Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. CoRR abs/1908.11714 (2019) - [i17]Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. CoRR abs/1909.09629 (2019) - [i16]Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
DCTD: Deep Conditional Target Densities for Accurate Regression. CoRR abs/1909.12297 (2019) - [i15]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/1911.07783 (2019) - [i14]Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. CoRR abs/1912.05524 (2019) - 2018
- [b1]Martin Danelljan:
Learning Convolution Operators for Visual Tracking. Linköping University, Sweden, 2018 - [c25]Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Combining Local and Global Models for Robust Re-detection. AVSS 2018: 1-6 - [c24]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CVPR 2018: 3829-3837 - [c23]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c22]Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
On the Optimization of Advanced DCF-Trackers. ECCV Workshops (1) 2018: 54-69 - [c21]Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. ECCV (2) 2018: 493-509 - [i13]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CoRR abs/1804.01495 (2018) - [i12]Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. CoRR abs/1804.06833 (2018) - [i11]Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. CoRR abs/1806.01013 (2018) - [i10]Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CoRR abs/1811.07628 (2018) - [i9]Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-to-end Video Object Segmentation. CoRR abs/1811.11611 (2018) - 2017
- [j1]Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1561-1575 (2017) - [c20]