Juan C. Caicedo

53 papers A* 5B 3C 6Misc 1Journal 22Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images.
CoRR
Vidit Agrawal, John Peters, Tyler N. Thompson, Mohammad V. Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil L. Farhi, Ernest Fraenkel, Ron Stewart, Lassi Paavolainen, Bryan A. Plummer, Juan C. Caicedo
2025 J jnl
Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy.
PLoS Comput. Biol.
Théo Moutakanni, Camille Couprie, Seung Eun Yi, Michael Doron, Zitong Sam Chen, Nikita Moshkov, Elouan Gardes, Mathilde Caron, Hugo Touvron, Armand Joulin, Piotr Bojanowski, Wolfgang M. Pernice, Juan C. Caicedo
2025 J jnl
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning.
CoRR
Chau Pham, Juan C. Caicedo, Bryan A. Plummer
2025 J jnl
Scaling Channel-Adaptive Self-Supervised Learning.
Trans. Mach. Learn. Res.
Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice
2025 J jnl
Synthesizing late-stage contrast enhancement in breast MRI: A comprehensive pipeline leveraging temporal contrast enhancement dynamics.
Comput. Biol. Medicine
Rubén D. Fonnegra, Maria Liliana Hernández, Juan C. Caicedo, Gloria M. Díaz
2024 J jnl
A Time-Intensity Aware Pipeline for Generating Late-Stage Breast DCE-MRI using Generative Adversarial Models.
CoRR
Rubén D. Fonnegra, Liliana M. Hernández, Juan C. Caicedo, Gloria M. Díaz
2023 A* conf
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging.
NeurIPS
Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
2023 J jnl
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging.
CoRR
Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
2023 — conf
Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks.
ISBI
Rubén D. Fonnegra, Liliana M. Hernández, Juan C. Caicedo, Gloria M. Díaz
2023 — conf
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy.
CVPR Workshops
Wolfgang M. Pernice, Michael Doron, Alex Quach, Aditya Pratapa, Sultan Kenjeyev, Nicholas De Veaux, Michio Hirano, Juan C. Caicedo
2023 J jnl
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy.
CoRR
Wolfgang M. Pernice, Michael Doron, Alex Quach, Aditya Pratapa, Sultan Kenjeyev, Nicholas De Veaux, Michio Hirano, Juan C. Caicedo
2021 J jnl
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings.
CoRR
Siqi Wang, Manyuan Lu, Nikita Moshkov, Juan C. Caicedo, Bryan A. Plummer
2021 J jnl
Deep multimodal learning for cross-modal retrieval: One model for all tasks.
Pattern Recognit. Lett.
Viviana Beltrán, Juan C. Caicedo, Nicholas Journet, Mickaël Coustaty, François Lecellier, Antoine Doucet
2020 — conf
An Extended Evaluation of the Impact of Different Modules in ST-VQA Systems.
ICPRAI
Viviana Beltrán, Mickaël Coustaty, Nicholas Journet, Juan C. Caicedo, Antoine Doucet
2020 B conf
Multi-Attribute Learning With Highly Imbalanced Data.
ICPR
Viviana Beltrán, Mickaël Coustaty, Nicholas Journet, Juan C. Caicedo, Antoine Doucet
2019 — conf
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning.
MIDL
Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta
2019 J jnl
Quantum Latent Semantic Analysis.
CoRR
Fabio A. González, Juan C. Caicedo
2018 — conf
Combining morphological and migration profiles of in vitro time-lapse data.
ISBI
Tim Becker, Juan C. Caicedo, Shantanu Singh, Markus Weckmann, Anne E. Carpenter
2018 A* conf
Weakly Supervised Learning of Single-Cell Feature Embeddings.
CVPR
Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter
2017 J jnl
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models.
Int. J. Comput. Vis.
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2016 C conf
Computing Arithmetic Operations on Sequences of Handwritten Digits.
CIARP
Andrés Pérez, Angélica Quevedo, Juan C. Caicedo
2016 C conf
Identifying Colombian Bird Species from Audio Recordings.
CIARP
Angie K. Reyes, Juan C. Caicedo, Jorge E. Camargo
2015 A* conf
Active Object Localization with Deep Reinforcement Learning.
ICCV
Juan C. Caicedo, Svetlana Lazebnik
2015 J jnl
Active Object Localization with Deep Reinforcement Learning.
CoRR
Juan C. Caicedo, Svetlana Lazebnik
2015 — conf
Fine-tuning Deep Convolutional Networks for Plant Recognition.
CLEF (Working Notes)
Angie K. Reyes, Juan C. Caicedo, Jorge E. Camargo
2015 A* conf
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models.
ICCV
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2015 J jnl
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models.
CoRR
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2014 J jnl
Collaborative Personalization of Image Enhancement.
Int. J. Comput. Vis.
Ashish Kapoor, Juan C. Caicedo, Dani Lischinski, Sing Bing Kang
2014 J jnl
Histology image search using multimodal fusion.
J. Biomed. Informatics
Juan C. Caicedo, Jorge A. Vanegas, Fabian Páez, Fabio A. González
2013 J jnl
A kernel-based framework for image collection exploration.
J. Vis. Lang. Comput.
Jorge E. Camargo, Juan C. Caicedo, Fabio A. González
2012 — conf
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources.
eScience
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
2012 — conf
Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images.
CLEF (Online Working Notes/Labs/Workshop)
Jorge A. Vanegas, Juan C. Caicedo, Jorge E. Camargo, Raúl Ramos-Pollán, Fabio A. González
2012 B conf
Multimodal fusion for image retrieval using matrix factorization.
ICMR
Juan C. Caicedo, Fabio A. González
2012 J jnl
Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization.
Neurocomputing
Juan C. Caicedo, Jaafar Ben-Abdallah, Fabio A. González, Olfa Nasraoui
2012 C conf
Online Matrix Factorization for Multimodal Image Retrieval.
CIARP
Juan C. Caicedo, Fabio A. González
2011 A* conf
Collaborative personalization of image enhancement.
CVPR
Juan C. Caicedo, Ashish Kapoor, Sing Bing Kang
2011 J jnl
Content-based histopathology image retrieval using a kernel-based semantic annotation framework.
J. Biomed. Informatics
Juan C. Caicedo, Fabio A. González, Eduardo Romero
2011 — conf
Histology Image Indexing Using a Non-negative Semantic Embedding.
MCBR-CDS
Jorge A. Vanegas, Juan C. Caicedo, Fabio A. González, Eduardo Romero
2011 Misc conf
Quantum Latent Semantic Analysis.
ICTIR
Fabio A. González, Juan C. Caicedo
2011 J jnl
Visual pattern mining in histology image collections using bag of features.
Artif. Intell. Medicine
Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González
2010 C conf
A kernel-based strategy for exploratory image collection search.
CBMI
Jorge E. Camargo, Juan C. Caicedo, Anyela M. Chavarro, Fabio A. González
2010 — conf
Bioingenium at ImageClefmed 2010: A Latent Semantic Approach.
CLEF (Notebook Papers/LABs/Workshops)
José G. Moreno, Juan C. Caicedo, Fabio A. González
2010 J jnl
Combining Low-level Features for Improved Classification and Retrieval of Histology Images.
Trans. Mass Data Anal. Images Signals
Juan C. Caicedo, Ebroul Izquierdo
2010 — conf
Combining visual features and text data for medical image retrieval using latent semantic kernels.
Multimedia Information Retrieval
Juan C. Caicedo, José G. Moreno, Edwin A. Niño, Fabio A. González
2010 — conf
Multimodal Image Annotation Using Non-negative Matrix Factorization.
Web Intelligence
Jaafar Ben-Abdallah, Juan C. Caicedo, Fabio A. González, Olfa Nasraoui
2010 — conf
Multimodal Image Collection Visualization Using Non-negative Matrix Factorization.
ECDL
Jorge E. Camargo, Juan C. Caicedo, Fabio A. González
2010 — conf
NMF-based multimodal image indexing for querying by visual example.
CIVR
Fabio A. González, Juan C. Caicedo, Olfa Nasraoui, Jaafar Ben-Abdallah
2009 B conf
Histopathology Image Classification Using Bag of Features and Kernel Functions.
AIME
Juan C. Caicedo, Angel Cruz-Roa, Fabio A. González
2009 C conf
Visual Pattern Analysis in Histopathology Images Using Bag of Features.
CIARP
Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González
2008 — conf
A Semantic Content-Based Retrieval Method for Histopathology Images.
AIRS
Juan C. Caicedo, Fabio A. González, Eduardo Romero
2008 J jnl
Recuperación de Imágenes Médicas por Contenido usando Indexamiento Métrico.
Rev. Avances en Sistemas Informática
Edwin A. Niño, Juan C. Caicedo, Fabio A. González
2007 — conf
Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification.
CLEF
Juan C. Caicedo, Fabio A. González, Eduardo Romero
2007 C conf
Design of a Medical Image Database with Content-Based Retrieval Capabilities.
PSIVT
Juan C. Caicedo, Fabio A. González, Edwin Triana, Eduardo Romero