2 citations · 3 across the 5 of their papers we have counts for
6 papers
Latent Planning via Embedding Arithmetic: A Contrastive Approach to Strategic Reasoning
Andrew Hamara, Greg Hamerly, Pablo Rivas +1
Planning in high-dimensional decision spaces is increasingly being studied through the lens of learned representations. Rather than training policies or value heads, we investigate…
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…
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…
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…
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…
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…