most citedCF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset

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

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cs.CV2026

Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge

Kirill Trapeznikov, Gabriel Mancino-Ball, Jonathan Li +9

The proliferation of generative video technologies has intensified the need for reliable methods to detect and characterize synthetic media. To address this challenge, we organized…

cs.CV2022★ 3 cited

CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset

Qiqi Ding, Peng Li, Xuefeng Yan +6

Snow is one of the toughest adverse weather conditions for object detection (OD). Currently, not only there is a lack of snowy OD datasets to train cutting-edge detectors, but also…