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20102024
most citedDelta-encoder: an effective sample synthesis method for few-shot object recognition

289 citations · 1.7k across the 90 of their papers we have counts for

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Showing 2020 · cs.CVShow all

7 papers · 2 filters

cs.CV2020

SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera

Nir Diamant, Tal Mund, Ohad Menashe +2

Energy-saving LIDAR camera for short distances estimates an object's distance using temporally intensity-coded laser light pulses and calculates the maximum correlation with the ba…

cs.CV2020

Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times

Omer Dahary, Matan Jacoby, Alex M. Bronstein

Mechanical image stabilization using actuated gimbals enables capturing long-exposure shots without suffering from blur due to camera motion. These devices, however, are often phys…

cs.CV2020★ 58 cited

Non-Rigid Puzzles

Or Litany, Emanuele Rodolà, Alex Bronstein +2

Shape correspondence is a fundamental problem in computer graphics and vision, with applications in various problems including animation, texture mapping, robotic vision, medical i…

cs.CV2020

Self-Supervised Learning for Large-Scale Unsupervised Image Clustering

Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein +1

Unsupervised learning has always been appealing to machine learning researchers and practitioners, allowing them to avoid an expensive and complicated process of labeling the data.…

cs.CV2020

Shape retrieval of non-rigid 3d human models

David Pickup, Xianfang Sun, Paul L Rosin +28

3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend…

cs.CV2020

StarNet: towards Weakly Supervised Few-Shot Object Detection

Leonid Karlinsky, Joseph Shtok, Amit Alfassy +8

Few-shot detection and classification have advanced significantly in recent years. Yet, detection approaches require strong annotation (bounding boxes) both for pre-training and fo…