Search Results for author: Ayellet Tal

Found 28 papers, 11 papers with code

MedCycle: Unpaired Medical Report Generation via Cycle-Consistency

no code implementations20 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.

Medical Report Generation

A Game of Bundle Adjustment -- Learning Efficient Convergence

no code implementations25 Aug 2023 Amir Belder, Refael Vivanti, Ayellet Tal

Bundle adjustment is the common way to solve localization and mapping.

k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection

no code implementations28 May 2023 Ori Nizan, Ayellet Tal

Anomaly detection aims at identifying images that deviate significantly from the norm.

Anomaly Detection

LIMITR: Leveraging Local Information for Medical Image-Text Representation

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.

Image Retrieval Phrase Grounding +1

CLID: Controlled-Length Image Descriptions with Limited Data

1 code implementation27 Nov 2022 Elad Hirsch, Ayellet Tal

Controllable image captioning models generate human-like image descriptions, enabling some kind of control over the generated captions.

controllable image captioning

GraVoS: Voxel Selection for 3D Point-Cloud Detection

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.

3D Object Detection Cloud Detection +1

Random Walks for Adversarial Meshes

1 code implementation15 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.

Adversarial Attack Classification

CloudWalker: Random walks for 3D point cloud shape analysis

1 code implementation2 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.

Retrieval

AttWalk: Attentive Cross-Walks for Deep Mesh Analysis

no code implementations23 Apr 2021 Ran Ben Izhak, Alon Lahav, Ayellet Tal

We utilize this mutual information to extract a single descriptor of the mesh.

Retrieval

Visual Navigation with Spatial Attention

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.

Navigate Object +3

MeshWalker: Deep Mesh Understanding by Random Walks

1 code implementation9 Jun 2020 Alon Lahav, Ayellet Tal

Each walk is organized as a list of vertices, which in some manner imposes regularity on the mesh.

3D Classification 3D Object Recognition +1

Color Visual Illusions: A Statistics-based Computational Model

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.

Breaking the cycle -- Colleagues are all you need

1 code implementation24 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

Is Image Memorability Prediction Solved?

no code implementations31 Jan 2019 Shay Perera, Ayellet Tal, Lihi Zelnik-Manor

This paper deals with the prediction of the memorability of a given image.

Solving Archaeological Puzzles

no code implementations26 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.

valid

Viewpoint Estimation-Insights & Model

no code implementations3 Jul 2018 Gilad Divon, Ayellet Tal

This paper addresses the problem of viewpoint estimation of an object in a given image.

General Classification Viewpoint Estimation

Document Enhancement Using Visibility Detection

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.

Binarization Document Enhancement +1

On the Visibility of Point Clouds

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.

Face Reconstruction Keypoint Detection +1

Solving Multiple Square Jigsaw Puzzles With Missing Pieces

no code implementations CVPR 2015 Genady Paikin, Ayellet Tal

Jigsaw-puzzle solving is necessary in many applications, including biology, archaeology, and every-day life.

How to Evaluate Foreground Maps?

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.

object-detection RGB Salient Object Detection +3

Pattern-Driven Colorization of 3D Surfaces

no code implementations CVPR 2013 George Leifman, Ayellet Tal

Colorization refers to the process of adding color to black & white images or videos.

Colorization

What Makes a Patch Distinct?

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.

Improving the Visual Comprehension of Point Sets

no code implementations CVPR 2013 Sagi Katz, Ayellet Tal

Point sets are the standard output of many 3D scanning systems and depth cameras.

Multi-scale Curve Detection on Surfaces

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.

Edge Detection

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