Christoph Mayer

Affiliations:
  • ETH Zürich, Switzerland


According to our database1, Christoph Mayer authored at least 17 papers between 2015 and 2024.

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Bibliography

2024
Beyond SOT: Tracking Multiple Generic Objects at Once.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Tracking Generic Objects in Videos.
PhD thesis, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Beyond SOT: It's Time to Track Multiple Generic Objects at Once.
CoRR, 2022

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.
CoRR, 2022

Robust Visual Tracking by Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Transforming Model Prediction for Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Towards closing the gap in weakly supervised semantic segmentation with DCNNs: Combining local and global models.
Comput. Vis. Image Underst., 2021

Adversarial feature distribution alignment for semi-supervised learning.
Comput. Vis. Image Underst., 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Learning Target Candidate Association to Keep Track of What Not to Track.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Efficient Video Semantic Segmentation with Labels Propagation and Refinement.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Adversarial Sampling for Active Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2015
Origami: A Convolutional Network Accelerator.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015


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