5 citations · 6 across the 4 of their papers we have counts for
5 papers
Transforming Model Prediction for Tracking
Christoph Mayer, Martin Danelljan, Goutam Bhat +4
Optimization based tracking methods have been widely successful by integrating a target model prediction module, providing effective global reasoning by minimizing an objective fun…
Robust Visual Tracking by Segmentation
Matthieu Paul, Martin Danelljan, Christoph Mayer +1
Estimating the target extent poses a fundamental challenge in visual object tracking. Typically, trackers are box-centric and fully rely on a bounding box to define the target in t…
Local Memory Attention for Fast Video Semantic Segmentation
Matthieu Paul, Martin Danelljan, Luc Van Gool +1
We propose a novel neural network module that transforms an existing single-frame semantic segmentation model into a video semantic segmentation pipeline. In contrast to prior work…
Efficient Video Semantic Segmentation with Labels Propagation and Refinement
Matthieu Paul, Christoph Mayer, Luc Van Gool +1
This paper tackles the problem of real-time semantic segmentation of high definition videos using a hybrid GPU / CPU approach. We propose an Efficient Video Segmentation(EVS) pipel…
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Christoph Mayer, Matthieu Paul, Radu Timofte
Training deep neural networks with only a few labeled samples can lead to overfitting. This is problematic in semi-supervised learning where only a few labeled samples are availabl…