activity
20142026
most citedHigh-Resolution Depth Maps Based on TOF-Stereo Fusion

65 citations · 116 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection

Andrii Yermakov, Jan Cech, Mario Fritz +1

Recent deepfake detection methods demonstrate improved cross-dataset generalization, yet the underlying mechanisms remain underexplored. We introduce the Alpha Blending Hypothesis,…

cs.CV2025★ 8 cited

Deepfake Detection that Generalizes Across Benchmarks

Andrii Yermakov, Jan Cech, Jiri Matas +1

The generalization of deepfake detectors to unseen manipulation techniques remains a challenge for practical deployment. Although many approaches adapt foundation models by introdu…

cs.CV2025

Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection

Andrii Yermakov, Jan Cech, Jiri Matas

This paper tackles the challenge of detecting partially manipulated facial deepfakes, which involve subtle alterations to specific facial features while retaining the overall conte…

cs.CV2021★ 65 cited

High-Resolution Depth Maps Based on TOF-Stereo Fusion

Vineet Gandhi, Jan Cech, Radu Horaud

The combination of range sensors with color cameras can be very useful for robot navigation, semantic perception, manipulation, and telepresence. Several methods of combining range…

cs.CV2014★ 43 cited

Continuous Action Recognition Based on Sequence Alignment

Kaustubh Kulkarni, Georgios Evangelidis, Jan Cech +1

Continuous action recognition is more challenging than isolated recognition because classification and segmentation must be simultaneously carried out. We build on the well known d…