Juan C. Caicedo

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 21

Top Topics

Gradient Information

Handwritten Digits

Weakly Supervised

Top Venues

Int. J. Comput. Vis.

Publications

Zitong Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. CoRR (2023)
Wolfgang M. Pernice, Michael Doron, Alex Quach, Aditya Pratapa, Sultan Kenjeyev, Nicholas De Veaux, Michio Hirano, Juan C. Caicedo
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy. CVPR Workshops (2023)
Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. NeurIPS (2023)
Rubén D. Fonnegra, Liliana M. Hernández, Juan C. Caicedo, Gloria M. Díaz
Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks. ISBI (2023)
Wolfgang M. Pernice, Michael Doron, Alex Quach, Aditya Pratapa, Sultan Kenjeyev, Nicholas De Veaux, Michio Hirano, Juan C. Caicedo
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy. CoRR (2023)
Viviana Beltrán, Juan C. Caicedo, Nicholas Journet, Mickaël Coustaty, François Lecellier, Antoine Doucet
Deep multimodal learning for cross-modal retrieval: One model for all tasks. Pattern Recognit. Lett. 146 (2021)
Siqi Wang, Manyuan Lu, Nikita Moshkov, Juan C. Caicedo, Bryan A. Plummer
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings. CoRR (2021)
Viviana Beltrán, Mickaël Coustaty, Nicholas Journet, Juan C. Caicedo, Antoine Doucet
An Extended Evaluation of the Impact of Different Modules in ST-VQA Systems. ICPRAI (2020)
Viviana Beltrán, Mickaël Coustaty, Nicholas Journet, Juan C. Caicedo, Antoine Doucet
Multi-Attribute Learning With Highly Imbalanced Data. ICPR (2020)
Fabio A. González, Juan C. Caicedo
Quantum Latent Semantic Analysis. CoRR (2019)
Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. MIDL (2019)
Tim Becker, Juan C. Caicedo, Shantanu Singh, Markus Weckmann, Anne E. Carpenter
Combining morphological and migration profiles of in vitro time-lapse data. ISBI (2018)
Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter
Weakly Supervised Learning of Single-Cell Feature Embeddings. CVPR (2018)
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. Int. J. Comput. Vis. 123 (1) (2017)
Andrés Pérez, Angélica Quevedo, Juan C. Caicedo
Computing Arithmetic Operations on Sequences of Handwritten Digits. CIARP (2016)
Angie K. Reyes, Juan C. Caicedo, Jorge E. Camargo
Identifying Colombian Bird Species from Audio Recordings. CIARP (2016)
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. CoRR (2015)
Juan C. Caicedo, Svetlana Lazebnik
Active Object Localization with Deep Reinforcement Learning. CoRR (2015)
Juan C. Caicedo, Svetlana Lazebnik
Active Object Localization with Deep Reinforcement Learning. ICCV (2015)
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. ICCV (2015)
Angie K. Reyes, Juan C. Caicedo, Jorge E. Camargo
Fine-tuning Deep Convolutional Networks for Plant Recognition. CLEF (Working Notes) (2015)
Juan C. Caicedo, Jorge A. Vanegas, Fabian Páez, Fabio A. González
Histology image search using multimodal fusion. J. Biomed. Informatics 51 (2014)
Ashish Kapoor, Juan C. Caicedo, Dani Lischinski, Sing Bing Kang
Collaborative Personalization of Image Enhancement. Int. J. Comput. Vis. 108 (1-2) (2014)
Jorge E. Camargo, Juan C. Caicedo, Fabio A. González
A kernel-based framework for image collection exploration. J. Vis. Lang. Comput. 24 (1) (2013)
Juan C. Caicedo, Jaafar Ben-Abdallah, Fabio A. González, Olfa Nasraoui
Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization. Neurocomputing 76 (1) (2012)
Juan C. Caicedo, Fabio A. González
Multimodal fusion for image retrieval using matrix factorization. ICMR (2012)
Raúl Ramos-Pollán, Fabio A. González, Juan C. Caicedo, Angel Cruz-Roa, Jorge E. Camargo, Jorge A. Vanegas, Santiago A. Perez, José David Bermeo, Juan Sebastian Otálora Montenegro, Paola K. Rozo, John Edison Arevalo Ovalle
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. eScience (2012)
Juan C. Caicedo, Fabio A. González
Online Matrix Factorization for Multimodal Image Retrieval. CIARP (2012)
Jorge A. Vanegas, Juan C. Caicedo, Jorge E. Camargo, Raúl Ramos-Pollán, Fabio A. González
Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images. CLEF (Online Working Notes/Labs/Workshop) (2012)
Jorge A. Vanegas, Juan C. Caicedo, Fabio A. González, Eduardo Romero
Histology Image Indexing Using a Non-negative Semantic Embedding. MCBR-CDS (2011)
Juan C. Caicedo, Fabio A. González, Eduardo Romero
Content-based histopathology image retrieval using a kernel-based semantic annotation framework. J. Biomed. Informatics 44 (4) (2011)
Fabio A. González, Juan C. Caicedo
Quantum Latent Semantic Analysis. ICTIR (2011)
Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González
Visual pattern mining in histology image collections using bag of features. Artif. Intell. Medicine 52 (2) (2011)
Juan C. Caicedo, Ashish Kapoor, Sing Bing Kang
Collaborative personalization of image enhancement. CVPR (2011)
Jaafar Ben-Abdallah, Juan C. Caicedo, Fabio A. González, Olfa Nasraoui
Multimodal Image Annotation Using Non-negative Matrix Factorization. Web Intelligence (2010)
Juan C. Caicedo, Ebroul Izquierdo
Combining Low-level Features for Improved Classification and Retrieval of Histology Images. Trans. Mass Data Anal. Images Signals 2 (1) (2010)
Jose G. Moreno, Juan C. Caicedo, Fabio A. González
Bioingenium at ImageClefmed 2010: A Latent Semantic Approach. CLEF (Notebook Papers/LABs/Workshops) (2010)
Jorge E. Camargo, Juan C. Caicedo, Anyela M. Chavarro, Fabio A. González
A kernel-based strategy for exploratory image collection search. CBMI (2010)
Jorge E. Camargo, Juan C. Caicedo, Fabio A. González
Multimodal Image Collection Visualization Using Non-negative Matrix Factorization. ECDL (2010)
Fabio A. González, Juan C. Caicedo, Olfa Nasraoui, Jaafar Ben-Abdallah
NMF-based multimodal image indexing for querying by visual example. CIVR (2010)
Juan C. Caicedo, Jose G. Moreno, Edwin A. Niño, Fabio A. González
Combining visual features and text data for medical image retrieval using latent semantic kernels. Multimedia Information Retrieval (2010)
Juan C. Caicedo, Angel Cruz-Roa, Fabio A. González
Histopathology Image Classification Using Bag of Features and Kernel Functions. AIME (2009)
Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González
Visual Pattern Analysis in Histopathology Images Using Bag of Features. CIARP (2009)
Juan C. Caicedo, Fabio A. González, Eduardo Romero
A Semantic Content-Based Retrieval Method for Histopathology Images. AIRS (2008)
Edwin A. Niño, Juan C. Caicedo, Fabio A. González
Recuperación de Imágenes Médicas por Contenido usando Indexamiento Métrico. Rev. Avances en Sistemas Informática 5 (1) (2008)
Juan C. Caicedo, Fabio A. González, Eduardo Romero
Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification. CLEF (2007)
Juan C. Caicedo, Fabio A. González, Edwin Triana, Eduardo Romero
Design of a Medical Image Database with Content-Based Retrieval Capabilities. PSIVT (2007)