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cs.CV2025

Carousel: A High-Resolution Dataset for Multi-Target Automatic Image Cropping

Rafe Loya, Andrew Hamara, Benjamin Estell +2

Automatic image cropping is a method for maximizing the human-perceived quality of cropped regions in photographs. Although several works have proposed techniques for producing sin…

cs.CV2025

Efficient Multi-Crop Saliency Partitioning for Automatic Image Cropping

Andrew Hamara, Andrew C. Freeman

Automatic image cropping aims to extract the most visually salient regions while preserving essential composition elements. Traditional saliency-aware cropping methods optimize a s…

cs.CV2025

Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study

Andrew Hamara, Greg Hamerly, Pablo Rivas +1

Modern chess engines achieve superhuman performance through deep tree search and regressive evaluation, while human players rely on intuition to select candidate moves followed by…

cs.CV2024

Low-Latency Scalable Streaming for Event-Based Vision

Andrew Hamara, Benjamin Kilpatrick, Alex Baratta +2

Recently, we have witnessed the rise of novel ``event-based'' camera sensors for high-speed, low-power video capture. Rather than recording discrete image frames, these sensors out…

cs.CV2024

From Latent to Engine Manifolds: Analyzing ImageBind's Multimodal Embedding Space

Andrew Hamara, Pablo Rivas

This study investigates ImageBind's ability to generate meaningful fused multimodal embeddings for online auto parts listings. We propose a simplistic embedding fusion workflow tha…