most citedDeepfake Video Detection with Spatiotemporal Dropout Transformer

4 citations · 7 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV20241 cited

3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset

Junjie Zhang, Tianci Hu, Xiaoshui Huang +2

Evaluating the performance of Multi-modal Large Language Models (MLLMs), integrating both point cloud and language, presents significant challenges. The lack of a comprehensive ass…

cs.CV20241 cited

Fact-checking based fake news detection: a review

Yuzhou Yang, Yangming Zhou, Qichao Ying +3

This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets. First, the paper sys…

cs.CV2022

DPIT: Dual-Pipeline Integrated Transformer for Human Pose Estimation

Shuaitao Zhao, Kun Liu, Yuhang Huang +3

Human pose estimation aims to figure out the keypoints of all people in different scenes. Current approaches still face some challenges despite promising results. Existing top-down…

cs.CV20224 cited

Deepfake Video Detection with Spatiotemporal Dropout Transformer

Daichi Zhang, Fanzhao Lin, Yingying Hua +3

While the abuse of deepfake technology has caused serious concerns recently, how to detect deepfake videos is still a challenge due to the high photo-realistic synthesis of each fr…

cs.CV2022

Rank-Based Filter Pruning for Real-Time UAV Tracking

Xucheng Wang, Dan Zeng, Qijun Zhao +1

Unmanned aerial vehicle (UAV) tracking has wide potential applications in such as agriculture, navigation, and public security. However, the limitations of computing resources, bat…