3 citations · 3 across the 2 of their papers we have counts for
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cs.CV2024
Image-Caption Encoding for Improving Zero-Shot Generalization
Eric Yang Yu, Christopher Liao, Sathvik Ravi +2
Recent advances in vision-language models have combined contrastive approaches with generative methods to achieve state-of-the-art (SOTA) on downstream inference tasks like zero-sh…
cs.CV2014
Power-Law Graph Cuts
Xiangyang Zhou, Jiaxin Zhang, Brian Kulis
Algorithms based on spectral graph cut objectives such as normalized cuts, ratio cuts and ratio association have become popular in recent years because they are widely applicable a…
cs.CV2014★ 3 cited
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
Ke Jiang, Qichao Que, Brian Kulis
We present a simple but powerful reinterpretation of kernelized locality-sensitive hashing (KLSH), a general and popular method developed in the vision community for performing app…