4 citations · 8 across the 5 of their papers we have counts for
5 papers
Consistent Semantic Attacks on Optical Flow
Tom Koren, Lior Talker, Michael Dinerstein +1
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…
Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face Alignment
Gil Shapira, Noga Levy, Ishay Goldin +1
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…
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations
Alexandra Dana, Maor Shutman, Yotam Perlitz +3
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 ba…
Layer Folding: Neural Network Depth Reduction using Activation Linearization
Amir Ben Dror, Niv Zehngut, Avraham Raviv +3
Despite the increasing prevalence of deep neural networks, their applicability in resource-constrained devices is limited due to their computational load. While modern devices exhi…
Co-occurrence Filter
Roy J Jevnisek, Shai Avidan
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…