伟德国际_伟德国际1946$娱乐app游戏

图片
Loading ...
June 26, 2025

Best Paper Award at the CVsports Workshop at CVPR 2025

Our paper "Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer" won the Best Paper Award at the 11th International Workshop on Computer Vision in Sports (CVsports)? This workshop took place as part of this year's CVPR 2025 in Nashville, Tennessee.

You can find the project page here

伟德国际_伟德国际1946$娱乐app游戏
cvsports2025bestpaperaward
June 24, 2025

Thesis Defense of Katja Ludwig

Congratulations to Katja Ludwig on the successful defense of her dissertation: Human Pose Estimation in Images and Videos for Sports Analytics: 2D Keypoint and 3D Mesh Estimation for Challenging Scenarios and Extreme Poses.
伟德国际_伟德国际1946$娱乐app游戏
April 14, 2025

Two Papers Accepted at the CVSports@CVPR'25 Workshop

Two papers are accepted at CVsports@CVPR 2025: "Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes" by Katja Ludwig, Julian Lorenz, Daniel Kienzle, Tuan Bui & Rainer Lienhart as well as "
Efficient 2D to Full 3D Human Pose Uplifting including Joint Rotations" by Katja Ludwig, Yuliia Oksymets, et al.
伟德国际_伟德国际1946$娱乐app游戏
Visualisierung von zwei Sportposen mit gesch?tzten Meshes
April 11, 2025

Paper accepted on CVSports at CVPR 2025

The paper "Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer" by Daniel Kienzle, Robin Sch?n, Rainer Lienhart, and Shin’Ichi Satoh has been accepted to the CVSports Workshop, held in conjunction with the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
伟德国际_伟德国际1946$娱乐app游戏
CVSPORTS 2025 2
March 7, 2025

Best Paper Award at CV4WS@WACV

?

For the paper ?SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts” the authors Robin Sch?n, Julian Lorenz, Daniel Kienzle and Rainer Lienhart received the best paper award at the workshop on Computer Vision for Winter Sports. The workshop took place at the WACV 2025 in Tucson, Arizona.

伟德国际_伟德国际1946$娱乐app游戏
Der Best Paper Award des Workshops für Computer Vision for Winter Sports auf der WACV 2025.
Jan. 13, 2025

Paper accepted at the CV4ws@WACV 2025 workshop

A paper with the title ?SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts” ?by Robin Sch?n, Julian Lorenz, Daniel Kienzle and Rainer Lienhart has been accepted to the Workshop for “Computer Vision for Winter Sports (CV4WS)”. This workshop will take place in context of the WACV 2025 in Tucson, AZ.

伟德国际_伟德国际1946$娱乐app游戏
July 9, 2024

Paper accepted (Oral) at the European Conference on Computer Vision (ECCV) 2024

The paper "A Fair Ranking and New Model for Panoptic Scene Graph Generation" by Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig, and Rainer Lienhart has been accepted for ECCV 2024 as an Oral Paper.

The authors discuss significant flaws in commonly used evaluation protocols for Panoptic Scene Graph Generation. They present a solution to this problem and evaluate existing publications based on the new findings.
Finally, a new state-of-the-art architecture for Panoptic Scene Graph Generation is presented.

More information can be found here: https://lorjul.github.io/fair-psgg/

伟德国际_伟德国际1946$娱乐app游戏
May 24, 2024

Paper accepted at International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024

The paper titled "Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation" by Daniel Kienzle, Marco Kantonis, Robin Sch?n, and Rainer Lienhart has been accepted at the IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024. The paper describes a new method to enhance the efficiency of transformer models. This enables the application of computationally intensive transformer models to high-resolution images.

Further information about this paper can be found at https://kiedani.github.io/MIPR2024/.

伟德国际_伟德国际1946$娱乐app游戏
MIPR24
April 18, 2024

Paper accepted at the eLVM@CVPR 2024 workshop

A paper with the titleAdapting the Segment Anything Model During Usage in Novel Situations” by Robin Sch?n, Julian Lorenz, Katja Ludwig and Rainer Lienhart has been accepted at the workshop for “Efficient Large Vision Models (eLVM)“. The workshop will be held jointly with the CVPR 2024 in Seattle. The paper presents a method for adapting the Segment Anything Model (SAM) during test time without the aid of additional training data. Instead, the method uses information with is generated during usage in order to generate pseudo labels.

伟德国际_伟德国际1946$娱乐app游戏
April 17, 2024

Paper for SG2RL@CVPR 2024 accepted

The paper "A Review and Efficient Implementation of Scene Graph Generation Metrics" by Julian Lorenz, Robin Sch?n, Katja Ludwig, and Rainer Lienhart is accepted at the Workshop on Scene Graphs and Graph Representation Learning at CVPR 2024.

?

The authors review existing scene graph generation metrics and provide precise definitions that were lacking in this field. Additionally, they introduce an efficient and easy to use python package that implements all discussed metrics. To improve comparability of new scene graph generation methods, the authors provide a benchmarking service that enables an easy evaluation of scene graph generation models.

?

More information can be found here: https://lorjul.github.io/sgbench/

伟德国际_伟德国际1946$娱乐app游戏
Feb. 22, 2024

Open Positions for PhD students

We are always looking for excellent researchers who are passionate about research and a PhD. The research focus of our chair is machine learning and perception (vision/audio/other sensor modalities). A current research topic is, for instance, "Lifelong and continuous learning in single and multi-agent systems with sporadic human feedback“. Apply (f/m/d) with CV and previous study grades.
伟德国际_伟德国际1946$娱乐app游戏
Teamphoto of our group
Jan. 11, 2024

Paper accepted at International Conference on 3D Vision (3DV) 2024

The paper titled "Towards Learning Monocular 3D Object Localization Using the Physical Laws of Motion" by Daniel Kienzle, Julian Lorenz, Katja Ludwig and Rainer Lienhart was accepted to the International Conference on 3D Vision (3DV) 2024. The paper describes a new method for localizing objects in 3D without the need for 3D ground truth. Instead, the method uses knowledge of physical laws to learn the task.

?

See https://kiedani.github.io/3DV2024/ for additional information on the paper.

伟德国际_伟德国际1946$娱乐app游戏
Ergebnisse 3DV 2024

Search