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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

Depth-Guided Video Object Counting in Crowded Scenes

Yuanjing Xu, Xinyan Liu, Weidong Chen +5

Our primary objective is to advance video object counting in crowded scenes, aiming to robustly count all instances of a target category based on given text or visual prompts. Exis…

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.CV2026

Prompt Tuning for CLIP on the Pretrained Manifold

Xi Yang, Yuanrong Xu, Weigang Zhang +3

Prompt tuning introduces learnable prompt vectors that adapt pretrained vision-language models to downstream tasks in a parameter-efficient manner. However, under limited supervisi…

cs.CV2025

Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos

Yufan Zhou, Zhaobo Qi, Lingshuai Lin +5

In this paper, we address the challenge of procedure planning in instructional videos, aiming to generate coherent and task-aligned action sequences from start and end visual obser…