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20232026
most citedPanBench: Towards High-Resolution and High-Performance Pansharpening

2 citations · 2 across the 3 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Realtime-Venus: A full-duplex interaction system with asynchronous delegation

Ruixiang Zhao, Hualei Wang, Renhe Sun +24

Natural interaction in digital and physical environments requires continuous perception and timely responses. Spoken dialogue relies on acoustic and linguistic cues, while video in…

cs.CV2026

Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection

Xuechao Zou, Yi Zhou, Kai Li +4

The growing realism and accessibility of manipulated and generated faces threaten the trustworthiness of digital media. To detect such forgeries, deepfake detectors based on vision…

cs.CV2026

Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection

Xuechao Zou, Shun Zhang, Kai Li +6

The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. Ho…

cs.CV2025

Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation

Yushe Cao, Dianxi Shi, Xing Fu +5

While significant progress has been achieved in multimodal facial generation using semantic masks and textual descriptions, conventional feature fusion approaches often fail to ena…

cs.CV2025

Hierarchical Fusion of Local and Global Visual Features with Mixture-of-Experts for Remote Sensing Image Scene Classification

Yuanhao Tang, Xuechao Zou, Zhengpei Hu +3

Remote sensing image scene classification remains a challenging task, primarily due to the complex spatial structures and multi-scale characteristics of ground objects. Although CN…

cs.CV2025

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

Xuechao Zou, Shun Zhang, Xing Fu +6

Controllable face generation poses critical challenges in generative modeling due to the intricate balance required between semantic controllability and photorealism. While existin…