13 papers
AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning
Junxiao Xue, Quan Deng, Tingqi Hu +4
Despite recent progress in multimodal large language models (MLLMs), reliable visual question answering in aerial scenes remains challenging. In such scenes, task-critical evidence…
MooD: Perception-Enhanced Efficient Affective Image Editing via Continuous Valence-Arousal Modeling
Xinyi Yin, Yiduo Wang, Tingqi Hu +6
Affective Image Editing (AIE) aims to modify visual content to evoke targeted emotions. Although current approaches achieve impressive editing quality, they often overlook inferenc…
AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control
Shi Chen, Xuecheng Wu, Heli Sun +8
Affective Image Manipulation (AIM) aims to evoke specific emotions through targeted editing. Current image editing benchmarks primarily focus on object-level modifications in gener…
RePose: A Real-Time 3D Human Pose Estimation and Biomechanical Analysis Framework for Rehabilitation
Junxiao Xue, Pavel Smirnov, Ziao Li +13
We propose a real-time 3D human pose estimation and motion analysis method termed RePose for rehabilitation training. It is capable of real-time monitoring and evaluation of patien…
Disentangling Hardness from Noise: An Uncertainty-Driven Model-Agnostic Framework for Long-Tailed Remote Sensing Classification
Chi Ding, Junxiao Xue, Xinyi Yin +5
Long-Tailed distributions are pervasive in remote sensing due to the inherently imbalanced occurrence of grounded objects. However, a critical challenge remains largely overlooked,…
Towards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLM
Junxiao Xue, Quan Deng, Xuecheng Wu +7
Remote sensing change understanding (RSCU) is essential for analyzing remote sensing images and understanding how human activities affect the environment. However, existing dataset…