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Yong Xu

4 papers indexed

arxivcs.CVcs.AI2026-07-15

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs

Taorui Wang, Wei Xia, Hui Ma, Zijia Song, Jiayu Zhang, Zeheng Wang, et al.

Micro-gesture recognition demands the detection of fleeting, spatially localized movements that are frequently overwhelmed by dominant static appearances and background noise. While Multimodal Large Language Models (MLLMs) excel at general video understanding, they inherently str…

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crossrefnpj Computational Materials2026-07-09

DeepH-pack: a general-purpose neural network package for deep-learning electronic structure calculations

Yang Li, Yanzhen Wang, Boheng Zhao, Xiaoxun Gong, Yuxiang Wang, Zechen Tang, et al.

Abstract In computational physics and materials science, first-principles methods, particularly density functional theory, have become central tools for electronic structure prediction and materials design. Recently, rapid advances in artificial intelligence (AI) have begun to re…

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arxivcs.CV2026-06-26

RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning

Yelin Wang, Zijia Song, Shuo Ye, Chuanguang Yang, Miaoyu Wang, Yong Xu, et al.

Remote Sensing Image Change Captioning (RSICC) aims to describe changes between bi-temporal remote sensing images and holds significant research and application value. However, most existing methods rely on conventional deep learning architectures, and the limited model capacity…

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arxivcs.CV2026-06-26

ModaFlow: Modality-Aware Flow Matching for High-Fidelity Virtual Try-On

Xiangyu Sai, Meysam Madadi, Sergio Escalera, Yong Xu

Image-based virtual try-on has emerged as a compelling task in e-commerce and augmented reality, yet existing methods struggle to simultaneously preserve fine garment semantics and adapt to diverse person body geometries under large clothing-body deformations. We present ModaFlow…

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