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pro vyhledávání: '"Jevnisek, Roy J"'
We present a novel approach for semantically targeted adversarial attacks on Optical Flow. In such attacks the goal is to corrupt the flow predictions of a specific object category or instance. Usually, an attacker seeks to hide the adversarial pertu
Externí odkaz:
http://arxiv.org/abs/2111.08485
Facial landmarks (FLM) estimation is a critical component in many face-related applications. In this work, we aim to optimize for both accuracy and speed and explore the trade-off between them. Our key observation is that not all faces are created eq
Externí odkaz:
http://arxiv.org/abs/2108.00377
General object detectors use powerful backbones that uniformly extract features from images for enabling detection of a vast amount of object types. However, utilization of such backbones in object detection applications developed for specific object
Externí odkaz:
http://arxiv.org/abs/2107.10050
Autor:
Jevnisek, Roy J, Avidan, Shai
Co-occurrence Filter (CoF) is a boundary preserving filter. It is based on the Bilateral Filter (BF) but instead of using a Gaussian on the range values to preserve edges it relies on a co-occurrence matrix. Pixel values that co-occur frequently in t
Externí odkaz:
http://arxiv.org/abs/1703.04111