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20142025
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

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22 papers · 1 filter

cs.SD2025

Knowledge-Decoupled Functionally Invariant Path with Synthetic Personal Data for Personalized ASR

Yue Gu, Zhihao Du, Ying Shi +2

Fine-tuning generic ASR models with large-scale synthetic personal data can enhance the personalization of ASR models, but it introduces challenges in adapting to synthetic persona…

cs.AI2025

Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business

Huatao Xu, Yan Zhang, Wei Gao +2

This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the…

cs.CV20252 cited

GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes

Guo Chen, Jiarun Liu, Sicong Du +5

This paper presents GS-RoadPatching, an inpainting method for driving scene completion by referring to completely reconstructed regions, which are represented by 3D Gaussian Splatt…

cs.IR20252 cited

ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction

Rui Dong, Wentao Ouyang, Xiangzheng Liu

Click-through rate (CTR) prediction plays an important role in online advertising systems. On the one hand, traditional CTR prediction models capture the collaborative signals in t…

cs.IR2025

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework

Moyu Zhang, Yujun Jin, Jinxin Hu +1

With the emergence of e-commerce, the recommendations provided by commercial platforms must adapt to diverse scenarios to accommodate users' varying shopping preferences. Current m…

cs.IR20251 cited

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion

Moyu Zhang, Yongxiang Tang, Yujun Jin +2

Traditional recommendation methods rely on correlating the embedding vectors of item IDs to capture implicit collaborative filtering signals to model the user's interest in the tar…