02.01.2022

Teaser image to

One paper at WACV 2022

EEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022). Waikoloa, Hawai, 04.01.2022–08.01.2022

We are happy to announce that MCML researchers are represented with one paper at WACV 2022:

F. Ott, D. Rügamer, L. Heublein, B. Bischl and C. Mutschler.
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach.
WACV 2022 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2022. DOI
Abstract

Multivariate Time Series (MTS) classification is important in various applications such as signature verification, person identification, and motion recognition. In deep learning these classification tasks are usually learned using the cross-entropy loss. A related yet different task is predicting trajectories observed as MTS. Important use cases include handwriting reconstruction, shape analysis, and human pose estimation. The goal is to align an arbitrary dimensional time series with its ground truth as accurately as possible while reducing the error in the prediction with a distance loss and the variance with a similarity loss. Although learning both losses with Multi-Task Learning (MTL) helps to improve trajectory alignment, learning often remains difficult as both tasks are contradictory. We propose a novel neural network architecture for MTL that notably improves the MTS classification and trajectory regression performance in online handwriting (OnHW) recognition. We achieve this by jointly learning the cross-entropy loss in combination with distance and similarity losses. On an OnHW task of handwritten characters with multivariate inertial and visual data inputs we are able to achieve crucial improvements (lower error with less variance) of trajectory prediction while still improving the character classification accuracy in comparison to models trained on the individual tasks.

MCML Authors
Link to Profile David Rügamer

David Rügamer

Prof. Dr.

Data Science Group

Link to Profile Bernd Bischl

Bernd Bischl

Prof. Dr.

Statistical Learning & Data Science


02.01.2022


Subscribe to RSS News feed

Related

Link to

05.12.2024

26 papers at NeurIPS 2024

38th Conference on Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada, 10.12.2024 - 15.12.2024


Link to

06.11.2024

20 papers at EMNLP 2024

Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Miami, FL, USA, 12.11.2024 - 16.11.2024


Link to

18.10.2024

Three papers at ECAI 2024

27th European Conference on Artificial Intelligence (ECAI 2024). Santiago de Compostela, Spain, 19.10.2024 - 24.10.2024


Link to

01.10.2024

16 papers at MICCAI 2024

27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). Marrakesh, Morocco, 06.10.2024 - 10.10.2024


Link to

26.09.2024

20 papers at ECCV 2024

18th European Conference on Computer Vision (ECCV 2024). Milano, Italy, 29.09.2024 - 04.10.2024