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09/05/2023
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes
Current scene graph datasets suffer from strong long-tail distributions ...
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06/18/2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysi...
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04/12/2023
Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance
Pseudo depth maps are depth map predicitions which are used as ground tr...
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04/06/2023
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes
Performance analyses based on videos are commonly used by coaches of ath...
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11/17/2022
Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks
Analyses based on the body posture are crucial for top-class athletes in...
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10/19/2022
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation
Semi-supervised learning (SSL) can reduce the need for large labelled da...
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10/12/2022
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
The state-of-the-art for monocular 3D human pose estimation in videos is...
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06/30/2022
Custom Pretrainings and Adapted 3D-ConvNeXt Architecture for COVID Detection and Severity Prediction
Since COVID strongly affects the respiratory system, lung CT scans can b...
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04/13/2022
Recognition of Freely Selected Keypoints on Human Limbs
Nearly all Human Pose Estimation (HPE) datasets consist of a fixed set o...
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12/28/2021
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) – Team: MMCUniAugsburg
The Multimedia and Computer Vision Lab of the University of Augsburg par...
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12/28/2021
Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation
Video-to-Text (VTT) is the task of automatically generating descriptions...
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11/05/2021
Semantic Consistency in Image-to-Image Translation for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to adapt models trained on a s...
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10/23/2020
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
The current state-of-the-art in monocular 3D human pose estimation is he...
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04/21/2020
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
In this paper we address the problem of motion event detection in athlet...
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08/06/2019
Addressing Data Bias Problems for Chest X-ray Image Report Generation
Automatic medical report generation from chest X-ray images is one possi...
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05/06/2019
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing
Automatically generating descriptive captions for images is a well-resea...
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04/24/2018
Mining Automatically Estimated Poses from Video Recordings of Top Athletes
Human pose detection systems based on state-of-the-art DNNs are on the g...
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02/06/2018
Multimodal Image Captioning for Marketing Analysis
Automatically captioning images with natural language sentences is an im...
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02/02/2018
Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming
In this paper we consider the problem of human pose estimation in real-w...
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03/14/2016
Diversity in Object Proposals
Current top performing object recognition systems build on object propos...
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04/21/2015