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20222026
most citedWavelet Convolutions for Large Receptive Fields

12 citations · 17 across the 17 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Fast and Memory-Efficient Wavelet Convolutions via I/O-Aware Reformulation

Amit Aflalo, Shahaf E. Finder, Roy Amoyal +2

Wavelet convolution (WTConv) has emerged as an increasingly popular drop-in replacement for standard convolutions, expanding a network's receptive field exponentially with the numb…

cs.CV2026

Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment

Roy Amoyal, Oren Freifeld, Chaim Baskin

We present Gaussian Splatting Alignment (GSA), a novel method for aligning two independent 3D Gaussian Splatting (3DGS) models via a similarity transformation (rotation, translatio…

cs.CV2025

FastJAM: a Fast Joint Alignment Model for Images

Omri Hirsch, Ron Shapira Weber, Shira Ifergane +1

Joint Alignment (JA) of images aims to align a collection of images into a unified coordinate frame, such that semantically-similar features appear at corresponding spatial locatio…

cs.CV2025

Synchronization of Multiple Videos

Avihai Naaman, Ron Shapira Weber, Oren Freifeld

Synchronizing videos captured simultaneously from multiple cameras in the same scene is often easy and typically requires only simple time shifts. However, synchronizing videos fro…

cs.CV2025

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning

Ron Shapira Weber, Shahar Ben Ishay, Andrey Lavrinenko +2

Fast and scalable alignment of time series is a fundamental challenge in many domains. The standard solution, Dynamic Time Warping (DTW), struggles with poor scalability and sensit…

cs.CV2024

Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining

Danny Barash, Emilie Manning, Aidan Van Vleck +10

Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to an…