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Improving gloss-free sign language translation by reducing representation density
Gloss-free sign language translation (SLT) aims to develop well-performing SLT systems
with no requirement for the costly gloss annotations, but currently still lags behind gloss …
with no requirement for the costly gloss annotations, but currently still lags behind gloss …
Foundation models for recommender systems: A survey and new perspectives
Recently, Foundation Models (FMs), with their extensive knowledge bases and complex
architectures, have offered unique opportunities within the realm of recommender systems …
architectures, have offered unique opportunities within the realm of recommender systems …
Cross-modality data augmentation for end-to-end sign language translation
End-to-end sign language translation (SLT) aims to convert sign language videos into
spoken language texts directly without intermediate representations. It has been a …
spoken language texts directly without intermediate representations. It has been a …
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning
Continuously learning new skills is essential for talents to gain a competitive advantage in
the labor market. Despite extensive efforts on relevance-or preference-based skill …
the labor market. Despite extensive efforts on relevance-or preference-based skill …
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models
Cross-Domain Sequential Recommendation (CDSR) aims to predict users' preferences
based on historical sequential interactions across multiple domains. Existing works focus on …
based on historical sequential interactions across multiple domains. Existing works focus on …
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
Surface electromyography (sEMG) based gesture recognition offers a natural and intuitive
interaction modality for wearable devices. Despite significant advancements in sEMG-based …
interaction modality for wearable devices. Despite significant advancements in sEMG-based …
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
Optimization over permutations is typically an NP-hard problem that arises extensively in
ranking, matching, tracking, etc. Birkhoff polytope-based relaxation methods have made …
ranking, matching, tracking, etc. Birkhoff polytope-based relaxation methods have made …
Exploring the use of generative AI for material texturing in 3D interior design spaces
RW Gallega, Y Sumi - Frontiers in Computer Science, 2024 - frontiersin.org
Material selection is important yet difficult in interior design, as designers need to consider
technical factors beyond aesthetics, such as maintenance, sustainability, and costs that are …
technical factors beyond aesthetics, such as maintenance, sustainability, and costs that are …
The Impact of Virtual Reality (VR) Applications in Ming-style Furniture Designs
G Saixiong, KNM Halabi, M Anwar - Journal of Computing & Biomedical …, 2024 - jcbi.org
The research investigates how VR applications can radically change Ming-style furniture
design. It explores the complex factors that control how satisfied a person is with furniture …
design. It explores the complex factors that control how satisfied a person is with furniture …
VR-empowered interior design: Enhancing efficiency and quality through immersive experiences
P Wu, Y Liu, H Chen, X Li, H Wang - Displays, 2025 - Elsevier
Traditional interior design methods often struggle to meet the increasingly diverse needs of
modern users. As a result, virtual reality (VR) technology has emerged as an innovative …
modern users. As a result, virtual reality (VR) technology has emerged as an innovative …