1 citations · 1 across the 4 of their papers we have counts for
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iDocV2: Leveraging Self-Supervision and Open-Set Detection for Improving Pattern Spotting in Historical Documents
Jose M. Saavedra, Crhistopher Stears, Marcelo Pizarro +2
Considering the imminent massification of digital books, it has become critical to facilitate searching collections through graphical patterns. Current strategies for document retr…
A Benchmarking Methodology to Assess Open-Source Video Large Language Models in Automatic Captioning of News Videos
David Miranda Paredes, Jose M. Saavedra, Marcelo Pizarro
News videos are among the most prevalent content types produced by television stations and online streaming platforms, yet generating textual descriptions to facilitate indexing an…
Leveraging Unlabeled Data for Sketch-based Understanding
Javier Morales, Nils Murrugarra-Llerena, Jose M. Saavedra
Sketch-based understanding is a critical component of human cognitive learning and is a primitive communication means between humans. This topic has recently attracted the interest…
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval
Anibal Fuentes, Jose M. Saavedra
Architectures based on siamese networks with triplet loss have shown outstanding performance on the image-based similarity search problem. This approach attempts to discriminate be…
Compact and Effective Representations for Sketch-based Image Retrieval
Pablo Torres, Jose M. Saavedra
Sketch-based image retrieval (SBIR) has undergone an increasing interest in the community of computer vision bringing high impact in real applications. For instance, SBIR brings an…
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
Andres Baloian, Nils Murrugarra-Llerena, Jose M. Saavedra
Visual attributes play an essential role in real applications based on image retrieval. For instance, the extraction of attributes from images allows an eCommerce search engine to…