no code implementations • 20 Mar 2024 • Elad Hirsch, Gefen Dawidowicz, Ayellet Tal
This approach is based on cycle-consistent mapping functions that transform image embeddings into report embeddings, coupled with report auto-encoding for medical report generation.
no code implementations • 25 Aug 2023 • Amir Belder, Refael Vivanti, Ayellet Tal
Bundle adjustment is the common way to solve localization and mapping.
no code implementations • 14 Aug 2023 • Oren Shrout, Ori Nitzan, Yizhak Ben-Shabat, Ayellet Tal
Accurately detecting objects in the environment is a key challenge for autonomous vehicles.
no code implementations • 28 May 2023 • Ori Nizan, Ayellet Tal
Anomaly detection aims at identifying images that deviate significantly from the norm.
no code implementations • ICCV 2023 • Gefen Dawidowicz, Elad Hirsch, Ayellet Tal
Furthermore, the model integrates domain-specific information of two types -- lateral images and the consistent visual structure of chest images.
1 code implementation • ICCV 2023 • Amir Belder, Refael Vivanti, Ayellet Tal
Bundle adjustment is the common way to solve localization and mapping.
1 code implementation • 27 Nov 2022 • Elad Hirsch, Ayellet Tal
Controllable image captioning models generate human-like image descriptions, enabling some kind of control over the generated captions.
1 code implementation • 17 Nov 2022 • Offry Hayon, Stefan Münger, Ilan Shimshoni, Ayellet Tal
Archaeology is an intriguing domain for computer vision.
1 code implementation • CVPR 2023 • Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal
3D object detection within large 3D scenes is challenging not only due to the sparsity and irregularity of 3D point clouds, but also due to both the extreme foreground-background scene imbalance and class imbalance.
1 code implementation • 15 Feb 2022 • Amir Belder, Gal Yefet, Ran Ben Izhak, Ayellet Tal
The key idea is to train a network to imitate a given classification network.
1 code implementation • 2 Dec 2021 • Adi Mesika, Yizhak Ben-Shabat, Ayellet Tal
This work presents a different approach for representing and learning the shape from a given point set.
no code implementations • 23 Apr 2021 • Ran Ben Izhak, Alon Lahav, Ayellet Tal
We utilize this mutual information to extract a single descriptor of the mesh.
1 code implementation • CVPR 2021 • Bar Mayo, Tamir Hazan, Ayellet Tal
This combination of the "what" and the "where" allows the agent to navigate toward the sought-after object effectively.
1 code implementation • 9 Jun 2020 • Alon Lahav, Ayellet Tal
Each walk is organized as a list of vertices, which in some manner imposes regularity on the mesh.
Ranked #1 on 3D Object Recognition on SHREC11, Split10-10
1 code implementation • NeurIPS 2020 • Elad Hirsch, Ayellet Tal
Visual illusions may be explained by the likelihood of patches in real-world images, as argued by input-driven paradigms in Neuro-Science.
1 code implementation • 24 Nov 2019 • Ori Nizan, Ayellet Tal
(2) Since it does not need to support the cycle constraint, no irrelevant traces of the input are left on the generated image.
Multimodal Unsupervised Image-To-Image Translation Translation +1
no code implementations • 31 Jan 2019 • Shay Perera, Ayellet Tal, Lihi Zelnik-Manor
This paper deals with the prediction of the memorability of a given image.
no code implementations • 26 Dec 2018 • Niv Derech, Ayellet Tal, Ilan Shimshoni
The key contribution of this paper is a fully-automatic and general algorithm that addresses puzzle solving in this intriguing domain.
no code implementations • ECCV 2018 • Gilad Divon, Ayellet Tal
This paper addresses the problem of viewpoint estimation of an object in a given image.
no code implementations • 3 Jul 2018 • Gilad Divon, Ayellet Tal
This paper addresses the problem of viewpoint estimation of an object in a given image.
1 code implementation • CVPR 2018 • Netanel Kligler, Sagi Katz, Ayellet Tal
Interestingly, this information is based on a solution to a seemingly unrelated problem of visibility detection in R3.
no code implementations • ICCV 2015 • Sagi Katz, Ayellet Tal
This score can be utilized in various applications; we illustrate its use in view-dependent curvature estimation.
no code implementations • CVPR 2015 • Genady Paikin, Ayellet Tal
Jigsaw-puzzle solving is necessary in many applications, including biology, archaeology, and every-day life.
no code implementations • CVPR 2014 • Ran Margolin, Lihi Zelnik-Manor, Ayellet Tal
In this paper, we show that the most commonly-used measures for evaluating both non-binary maps and binary maps do not always provide a reliable evaluation.
no code implementations • CVPR 2013 • George Leifman, Ayellet Tal
Colorization refers to the process of adding color to black & white images or videos.
no code implementations • CVPR 2013 • Ran Margolin, Ayellet Tal, Lihi Zelnik-Manor
Our key contribution is a novel and fast approach to compute pattern distinctness.
no code implementations • CVPR 2013 • Sagi Katz, Ayellet Tal
Point sets are the standard output of many 3D scanning systems and depth cameras.
no code implementations • CVPR 2013 • Michael Kolomenkin, Ilan Shimshoni, Ayellet Tal
In this paper, we propose a general framework for automatically detecting the optimal scale for each point on the surface.