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Christoph Mayer 0007
Person information
- affiliation: ETH Zürich, Switzerland
Other persons with the same name
- Christoph Mayer 0001 — TU Munich, Department of Computer Science, Germany
- Christoph Mayer 0002 — OFFIS Institute for Information Technology, Oldenburg, Germany
- Christoph Mayer 0003 — University of Freiburg, Department of Computer Science, Germany
- Christoph Mayer 0004 — Ruhr University of Bochum, Department of Animal Ecology, Evolution and Biodiversity, Germany
- Christoph Mayer 0005
— Bavarian Academy of Sciences and Humanities, Geodesy and Glaciology, Munich, Germany
- Christoph Mayer 0006 — Deutsches Zentrum für Luft- und Raumfahrt, Institut für Kommunikation und Navigation, Neustrelitz, Germany
- Christoph Mayer 0008
- Christoph Mayer 0009 — Heidelberg University, Institute of Computer Science, Germany
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2020 – today
- 2024
- [c12]Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV 2024: 6812-6822 - 2023
- [b1]Christoph Mayer:
Tracking Generic Objects in Videos. ETH Zurich, Zürich, Switzerland, 2023 - [c11]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
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - 2022
- [c10]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: 817 - [c9]Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel
Transforming Model Prediction for Tracking. CVPR 2022: 8721-8730 - [c8]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
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c7]Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. ECCV (22) 2022: 571-588 - [i11]Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. CoRR abs/2203.11191 (2022) - [i10]Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel
Transforming Model Prediction for Tracking. CoRR abs/2203.11192 (2022) - [i9]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 abs/2208.06888 (2022) - [i8]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 abs/2212.11920 (2022) - 2021
- [j2]Christoph Mayer, Matthieu Paul, Radu Timofte
Adversarial feature distribution alignment for semi-supervised learning. Comput. Vis. Image Underst. 202: 103109 (2021) - [j1]Christoph Mayer, Radu Timofte
Towards closing the gap in weakly supervised semantic segmentation with DCNNs: Combining local and global models. Comput. Vis. Image Underst. 208-209: 103209 (2021) - [c6]Christoph Mayer, Martin Danelljan, Danda Pani Paudel
Learning Target Candidate Association to Keep Track of What Not to Track. ICCV 2021: 13424-13434 - [c5]Matej Kristan, Jirí Matas
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [i7]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) - 2020
- [c4]Yawei Li
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR 2020: 8015-8024 - [c3]Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. WACV 2020: 2862-2871 - [c2]Christoph Mayer, Radu Timofte
Adversarial Sampling for Active Learning. WACV 2020: 3060-3068 - [i6]Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CoRR abs/2003.08935 (2020)
2010 – 2019
- 2019
- [i5]Christoph Mayer, Matthieu Paul, Radu Timofte:
Adversarial Feature Distribution Alignment for Semi-Supervised Learning. CoRR abs/1912.10428 (2019) - [i4]Matthieu Paul, Christoph Mayer, Luc Van Gool, Radu Timofte:
Efficient Video Semantic Segmentation with Labels Propagation and Refinement. CoRR abs/1912.11844 (2019) - 2018
- [i3]Christoph Mayer, Radu Timofte, Grégory Paul:
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models. CoRR abs/1808.01625 (2018) - [i2]Christoph Mayer, Radu Timofte:
Adversarial Sampling for Active Learning. CoRR abs/1808.06671 (2018) - 2015
- [c1]Lukas Cavigelli
Origami: A Convolutional Network Accelerator. ACM Great Lakes Symposium on VLSI 2015: 199-204 - [i1]Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini:
Origami: A Convolutional Network Accelerator. CoRR abs/1512.04295 (2015)
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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