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Found 4 papers, 1 papers with code
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
The challenge aimed to evaluate the performance of VQA methods on a diverse dataset of 459 videos, encoded with 14 codecs of various compression standards (AVC/H. 264, HEVC/H. 265, AV1, and VVC/H. 266) and containing a comprehensive collection of compression artifacts.
How is Visual Attention Influenced by Text Guidance? Database and Model
Finally, considering the effect of text descriptions on visual attention, while most existing saliency models ignore this impact, we further propose a text-guided saliency (TGSal) prediction model, which extracts and integrates both image features and text features to predict the image saliency under various text-description conditions.
Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
These results highlight the potential of using unstructured and unlabeled videos as a valuable source of diverse and dynamic content for training foundation models.
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot
Developing algorithms to enable a legged robot to shoot a soccer ball to a given target is a challenging problem that combines robot motion control and planning into one task.
