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cs.CV2026

DyGT: Modeling Object Dynamics with 3D Gaussian Temporal-Spatial Particle Graph Transformer

Yansong Wang, Zhaobo Qi, Xinyan Liu +4

Modeling object dynamics from limited visual observations is a fundamental problem for enabling accurate motion trajectory prediction in embodied interaction scenarios. Existing dy…

cs.CV2026

ActiveScope: Actively Seeking and Correcting Perception for MLLMs

Yajing Wang, Chao Bi, Junshu Sun +4

Multimodal Large Language Models (MLLMs) have demonstrated impressive vision-language understanding, yet still struggle with fine-grained perception in high-resolution images. Whil…

cs.CV2026

AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection

Hao Wang, Beichen Zhang, Yanpei Gong +5

As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a crucial paradigm. However, existing methods typically rely on data replay o…

cs.CV2026

TowerDataset: A Heterogeneous Benchmark for Transmission Corridor Segmentation with a Global-Local Fusion Framework

Xu Cui, Xinyan Liu, Chen Yang +4

Fine-grained semantic segmentation of transmission-corridor point clouds is fundamental for intelligent power-line inspection. However, current progress is limited by realistic dat…

cs.CV2026

STAND: Semantic Anchoring Constraint with Dual-Granularity Disambiguation for Remote Sensing Image Change Captioning

Yanpei Gong, Beichen Zhang, Hao Wang +5

Remote sensing image change captioning (RSICC) aims to describe the difference between two remote sensing images. While recent methods have explored video modeling, they largely ov…

cs.CV2025

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Shufan Shen, Zhaobo Qi, Junshu Sun +3

The visual representation of a pre-trained model prioritizes the classifiability on downstream tasks, while the widespread applications for pre-trained visual models have posed new…