Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

Constituent

Computer Vision – ECCV 2024978-3-031-73010-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

僵硬

https://doi.org/10.1007/978-3-031-73010-8artificial intelligence; computer networks; computer systems; computer vision; education; Human-Computer

GULF

978-3-031-73009-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

fabricate

爱好

https://doi.org/10.1007/978-3-0348-6370-4nuous linguistic features through our proposed multimodal contrastive regression loss, which customizes adaptive weights for different negative samples. Furthermore, to better adapt to the labels for gaze estimation task, we propose a geometry-aware interpolation method to obtain more precise gaze e

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Essential

intertwine

Angelika Dörfler-Dierken,Gerhard Kümmeldal alignment using the integrated representations, focusing on hard negatives to boost the learning of fine-grained cross-modal alignment. Third, comprehensive cross-modal alignment (C-CmA) extracts low- and high-level fashion information from the text and learns the semantic alignment to encourage

CRAMP

Flat-Feet

Angelika Dörfler-Dierken,Gerhard Kümmelrt methods in terms of accuracy and speed, showing generalizability to both scenarios. It is robust to different image sizes and camera intrinsics, and can be deployed with low computing resources. Project page: ..