Search Results for author: Matthieu Paul

Found 5 papers, 3 papers with code

Robust Visual Tracking by Segmentation

1 code implementation21 Mar 2022 Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc van Gool

We infer a bounding box from the segmentation mask, validate our tracker on challenging tracking datasets and achieve the new state of the art on LaSOT with a success AUC score of 69. 7%.

Semantic Segmentation Video Object Segmentation +3

Transforming Model Prediction for Tracking

1 code implementation CVPR 2022 Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc van Gool

Optimization based tracking methods have been widely successful by integrating a target model prediction module, providing effective global reasoning by minimizing an objective function.

Inductive Bias Visual Object Tracking

Local Memory Attention for Fast Video Semantic Segmentation

1 code implementation5 Jan 2021 Matthieu Paul, Martin Danelljan, Luc van Gool, Radu Timofte

Our approach aggregates a rich representation of the semantic information in past frames into a memory module.

Semantic Segmentation Video Semantic Segmentation

Efficient Video Semantic Segmentation with Labels Propagation and Refinement

no code implementations26 Dec 2019 Matthieu Paul, Christoph Mayer, Luc van Gool, Radu Timofte

(ii) On the GPU, two Convolutional Neural Networks: A main segmentation network that is used to predict dense semantic labels from scratch, and a Refiner that is designed to improve predictions from previous frames with the help of a fast Inconsistencies Attention Module (IAM).

Image Segmentation Optical Flow Estimation +4

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