Research Publications

Research publications

The Center for Research and Formation in Artificial Intelligence comprises interdisciplinary researchers that perform Responsible Research in diverse areas and publish their work in the most influential conferences and journals.

Our publications by year

Pixel-Wise Recognition for Holistic Surgical Scene Understanding

Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Isabela Hernández, Nicolás Aparicio, Eugénie Dessevres, Sebastian Peña, Jessica Santander, Juan Caicedo, Nicolás Fernández, Pablo Arbeláez.

Medical Image Analysis

Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse

J. PUENTES, A. CASTILLO, W. OSEJO, Y. CALDERÓN, V. QUINTERO, L. SALDARRIAGA, D. AGUDELO, P. ARBELÁEZ

Artificial Intelligence (AI) and Humanitarian Assistance and Disaster Recovery (HADR) Workshop, ICCV 2023.

JOB-VS: JOINT BRAIN-VESSEL SEGMENTATION IN TOF-MRA IMAGES

N VALDERRAMA, I PITSIORLAS, L VARGAS, P ARBELÁEZ AND M A. ZULUAGA

ISBI 2023

Towards Holistic Surgical Scene Understanding

Natalia Valderrama, Paola Ruiz Puentes, Isabela Hernández, Nicolás Ayobi, Mathilde Verlyck, Jessica Santander, Juan Caicedo, Nicolás Fernández and Pablo Arbeláez.

MICCAI 2022 (Oral)

Towards Assessing and Characterizing the Semantic Robustness of Face Recognition

JC Pérez, M Alfarra, A Thabet, P Arbeláez, B Ghanem

Arxiv

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation–Analysis of Ranking Metrics and Benchmarking Results

Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F Yu, Baowei Fei, Ananth J Madhuranthakam, Joseph A Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Illyess Zemmoura, Clovis Tauber, Minh H Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh McHugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M Iftekharuddin, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Llado, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, Craig Meyer, Nisarg A Shah, Sanjay Talbar, Marc-Andr Weber, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

arXiv

SURGICAL INSTRUMENT GROUNDING FOR ROBOT-ASSISTED INTERVENTIONS

C. GONZÁLEZ, L. BRAVO-SÁNCHEZ, P. ARBELÁEZ

Joint Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI), Computer Assisted and Robotic Endoscopy (CARE), and OR 2.0 Context Aware Operating Theaters (OR2.0)

Micro-surgical anastomose workflow recognition challenge report

Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut, Fabien Despinoy, Yonghao Long, Qi Dou, Chin-Boon Chng, Wenjun Lin, Satoshi Kondo, Laura Bravo-Sánchez, Pablo Arbeláez, Wolfgang Reiter, Manoru Mitsuishi, Kanako Harada, Pierre Jannin

Computer Methods and Programs in Biomedicine

EGO4D: AROUND THE WORLD IN 3,000 HOURS OF EGOCENTRIC VIDEO

GRAUMAN ET AL.

CVPR 2022 Oral

PANOPTIC NARRATIVE GROUNDING

C. GONZÁLEZ, N. AYOBI, I. HERNÁNDEZ, J. HERNÁNDEZ, J. PONT-TUSET AND P. ARBELÁEZ

ICCV 2021 (Oral Presentation)

A HIERARCHICAL ASSESSMENT OF ADVERSARIAL SEVERITY

G. JEANNERET, JUAN C. PEREZ, P. ARBELAEZ

(Best Paper Award) ICCV2021 Workshop on Adversarial Robustness in the Real World

ENHANCING ADVERSARIAL ROBUSTNESS VIA TEST-TIME TRANSFORMATION ENSEMBLING

Juan C. Pérez, M, Alfarra, G. Jeanneret, L. Rueda, A. Thabet, B. Ghanem, P. Arbeláez

ICCV 2021, Workshop on Adversarial Robustness in the Real World

SAMA: SPATIALLY-AWARE MULTIMODAL NETWORK WITH ATTENTION FOR EARLY LUNG CANCER DIAGNOSIS

M. ROA, L. DAZA, M. ESCOBAR, A. CASTILLO, P. ARBELÁEZ

WORKSHOP ON MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT (ML-CDS) 2021

MAIN: Multi-Attention Instance Network for Video Segmentation

Juan Leon Alcazar, Maria A. Bravo, Ali K. Thabet, Guillaume Jeanneret, Thomas Brox, Pablo Arbelaez, Bernard Ghanem

Computer Vision and Image Understanding

GENERALIZED REAL-WORLD SUPER-RESOLUTION THROUGH ADVERSARIAL ROBUSTNESS

A. CASTILLO, M. ESCOBAR, J. PÉREZ, A. ROMERO, R. TIMOFTE, L. GOOL, P. ARBELÁEZ

ICCV 2021 Workshop

TOWARDS ROBUST GENERAL MEDICAL IMAGE SEGMENTATION

L. DAZA, J. PÉREZ, P. ARBELÁEZ

MICCAI 2021

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

oganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, Lubomir Hadjiiski, Sandy Napel, Dmitry Goldgof, Gustavo Perez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, M Mehdi Farhangi, Amir A Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani

IEEE Transactions on Medical Imaging

The medical segmentation decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F Christ, Richard KG Do, Marc J Gollub, Stephan H Heckers, Henkjan Huisman, William R Jarnagin, Maureen K McHugo, Sandy Napel, Jennifer S Goli Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L Simpson, Lena Maier-Hein, M Jorge Cardoso

Arxiv

THE MEDICAL SEGMENTATION DECATHLON

ANTONELLI. M, ET AL.

arXiv

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Tobias Ross, Annika Reinke, Peter M Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtac, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H Maier-Hein, Zhen-Liang Ni, Michael A Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P Müller-Stich, Lena Maier-Hein

Medical image analysis

PHARMANET: PHARMACEUTICAL DISCOVERY WITH DEEP RECURRENT NEURAL NETWORKS

P. RUIZ, N.VALDERRAMA, C. GONZÁLEZ, L. DAZA, C. MUÑOZ-CAMARGO, J.C. CRUZ, AND P. ARBELÁEZ

PLOS ONE

CERBERUS: A MULTI-HEADED NETWORK FOR BRAIN TUMOR SEGMENTATION

L. DAZA, C. GÓMEZ, P. ARBELÁEZ

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

LUCAS: LUNG CANCER SCREENING WITH MULTIMODAL BIOMARKERS

L. DAZA, A. CASTILLO, M. ESCOBAR, S. VALENCIA, B. PINZÓN, AND P. ARBELÁEZ

WORKSHOP ON MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT (ML-CDS) 2020

ULTRAGAN: ULTRASOUND ENHANCEMENT THROUGH ADVERSARIAL GENERATION

M. ESCOBAR*, A. CASTILLO*, A. ROMERO, P. ARBELÁEZ

WORKSHOP ON SIMULATION AND SYNTHESIS IN MEDICAL IMAGING (SASHIMI) 2020

LEVEL OF TRAFFIC STRESS-BASED CLASSIFICATION: A CLUSTERING APPROACH FOR BOGOTÁ

HUERTAS, J. A., PALACIO, A., BOTERO, M., CARVAJAL, G. A., VAN LAAKE, T., HIGUERA-MENDIETA, D., CABRALES, S. A., GUZMÁN, L. A., SARMIENTO, O. L., & MEDAGLIA, A. L.

TRANSPORTATION RESEARCH PART D: TRANSPORT AND ENVIRONMENT

ADVPC: TRANSFERABLE ADVERSARIAL PERTURBATIONS ON 3D POINT CLOUDS

A. HAMDI, S. ROJAS, A. THABET AND B. GHANEM

16TH EUROPEAN CONFERENCE ON COMPUTER VISION (ECCV), 2020

SMART POOLING: AI POWERED COVID-19 TESTING

M. ESCOBAR , G. JEANNERET , L. BRAVO-SÁNCHEZ , A. CASTILLO, C. GÓMEZ , D. VALDERRAMA, M. F. ROA, J. MARTÍNEZ, J. MADRID-WOLFF , M. CEPEDA, M. GUEVARA-SUAREZ , O. L. SARMIENTO , A. L. MEDAGLIA , M. FORERO-SHELTON , M. VELASCO, J. M. PEDRAZA-LEAL, S. RESTREPO, AND P. ARBELÁEZ

MEDRXIV PREPRINT, 2020

SIMBA: Specific Identity Markers for Bone Age Assessment

C. GONZÁLEZ*, M. ESCOBAR*, L. DAZA, F. TORRES, G TRIANA AND P. ARBELÁEZ

23RD INTERNATIONAL MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2020

ISINET: AN INSTANCE-BASED APPROACH FOR SURGICAL INSTRUMENT SEGMENTATION

C. GONZÁLEZ*, L. BRAVO-SÁNCHEZ* AND P. ARBELÁEZ

23RD INTERNATIONAL MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2020

AUTOMATED DISCOVERY OF BUSINESS PROCESS SIMULATION MODELS FROM EVENT LOGS

M CAMARGO, M DUMAS, O GONZÁLEZ-ROJAS.

DECISION SUPPORT SYSTEMS. 2020

LEARNING RUN-TIME COMPOSITIONS OF INTERACTING ADAPTATIONS

N. CARDOZO, I. DUSPARIC

INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS. 2020

ROBUST OPTIMIZATION OVER NETWORKS USING DISTRIBUTED RESTARTING OF ACCELERATED DYNAMICS

D. OCHOA, J.I. POVEDA, C.A. URIBE, N. QUIJANO

IEEE CONTROL SYSTEMS LETTERS, 2020 and NEURIPS 2020 LXAI WORKSHOP

AUTOMATED LUNG CANCER DIAGNOSIS USING THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS

G.PÉREZ AND P. ARBELÁEZ

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

SOLAR IRRADIANCE FORECASTING MODELS WITHOUT ON-SITE TRAINING MEASUREMENTS

A. ZAMBRANO, L.F. GIRALDO

RENEWABLE ENERGY.

DISTRIBUTED FORMATION CONTROL OF MOBILE ROBOTS USING DISCRETE-TIME DISTRIBUTED POPULATION DYNAMICS

J. MARTINEZ-PIAZUELO, G. DIAZ-GARCIA, N. QUIJANO, LF. GIRALDO

IFAC WORLD CONGRESS 2020

ACTIVE SPEAKERS IN CONTEXT

J. LEÓN ALCÁZAR, F. CABA HEILBRON, L. MAI, F. PERAZZI, J.Y. LEE, P. ARBELÁEZ AND B. GHANEM

COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020

ROBUST MEDICAL INSTRUMENT SEGMENTATION CHALLENGE 2019

L. BRAVO-SÁNCHEZ*, C. GONZÁLEZ* AND P. ARBELÁEZ

ARXIV PREPRINT

EL IMPACTO DE HERRAMIENTAS DE INTELIGENCIA ARTIFICIAL: UN ANÁLISIS EN EL SECTOR PÚBLICO EN COLOMBIA

FLÓREZ ROJAS, M.L. Y VARGAS LEAL, J

INTELIGENCIA ARTIFICIAL EN AMÉRICA LATINA Y EL CARIBE. ÉTICA, GOBERNANZA Y POLÍTICAS.

DOES NEURON COVERAGE MATTER FOR DEEP REINFORCEMENT LEARNING? A PRELIMINARY STUDY

M.TRUJILLO, M. LINARES-VÁSQUEZ, C. ESCOBAR-VELÁSQUEZ, I. DUSPARIC, N. CARDOZO

WORKSHOP ON TESTING FOR DEEP LEARNING AND DEEP LEARNING FOR TESTING AT ICSE 2020

GABOR LAYERS ENHANCE NETWORK ROBUSTNES

JC. PÉREZ*, M. ALFARRA*, G. JEANNERET*, A. BIBI, A. THABET, B. GHANEM, P. ARBELAEZ

16TH EUROPEAN CONFERENCE ON COMPUTER VISION (ECCV), 2020

SINGLE-SLICE ALZHEIMER’S DISEASE CLASSIFICATION AND DISEASE REGIONAL ANALYSIS WITH SUPERVISED SWITCHING AUTOENCODERS

R. MENDOZA-LÉON, J. PUENTES, LF. URIZA, M. HERNANDEZ HOYOS

COMPUTERS IN BIOLOGY AND MEDICINE, 2020

AN EMPIRICAL STUDY ON GLOBAL BONE AGE ASSESSMENT

F. TORRES, C. GONZÁLEZ, M. ESCOBAR, L. DAZA, G. TRIANA, AND P. ARBELÁEZ

15TH INTERNACIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2019

EXPLORING KNOWLEDGE GRAPHS FOR THE IDENTIFICATION OF CONCEPT PREREQUISITES

R. MANRIQUE, B. PEREIRA, O. MARINO

SMART LEARNING ENVIRONMENTS, 2019

DATA DRIVEN METHODOLOGY FOR MODEL SELECTION IN FLOW PATTERN PREDICTION

J. HERNANDEZ, C. VALENCIA, N. RATKOVICH, C. TORRES, F. MUÑOZ

HELIYON, 2019

HAND POSE ESTIMATION FOR PEDIATRIC BONE AGE ASSESSMENT

M. ESCOBAR*, C. GONZÁLEZ*, F. TORRES, L. DAZA, G TRIANA AND P. ARBELÁEZ

22ND INTERNATIONAL MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2019

LEARNING TO SEGMENT BRAIN TUMORS

L. DAZA, C. GÓMEZ, AND P. ARBELÁEZ

15TH INTERNACIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2019

PRECISE HUMAN POSE ESTIMATION BASED ON TWO-DIMENSIONAL IMAGES FOR KINEMATIC ANALYSIS

S. ROJAS, D. HERRERA, P. ARBELÁEZ

INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2019

SMIT: STOCHASTIC MULTI-LABEL IMAGE-TO-IMAGE TRANSLATION

A. ROMERO, P. ARBELÁEZ, L. VANN GOOL AND R. TIMOFTE

17TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) WORKSHOPS, 2019

FINDING FOUR-LEAF CLOVERS: A BENCHMARK FOR FINE-GRAINED OBJECT LOCALIZATION

L BRAVO*, A PARDO*, G PEREZ*, P ARBELAEZ

THE SIXTH WORKSHOP ON FINE-GRAINED VISUAL CATEGORIZATION (FGVC6), CVPR 2019

LEARNING ACCURATE LSTM MODELS OF BUSINESS PROCESSES

M CAMARGO, M DUMAS, O GONZÁLEZ-ROJAS.

INTERNATIONAL CONFERENCE ON BUSINESS PROCESS MANAGEMENT, 2019

TOWARDS THE IDENTIFICATION OF CONCEPT PREREQUISITES VIA KNOWLEDGE GRAPHS

R. MANRIQUE, B. PEREIRA NUNES, O. MARINO , N. CARDOZO, S. WOLFGAND

IEEE 19TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES,2019

MULTIAGENT REINFORCEMENT LEARNING APPLIED TO TRAFFIC LIGHT SIGNAL CONTROL

HIGUERA.C, LOZANO. F, CAMACHO. EC AND HIGUERA. CH

INTERNATIONAL CONFERENCE ON PRACTICAL APPLICATIONS OF AGENTS AND MULTI-AGENT SYSTEMS

DEMONSTRATION OF MULTIAGENT REINFORCEMENT LEARNING APPLIED TO TRAFFIC LIGHT SIGNAL CONTROL

HIGUERA.C, LOZANO. F, CAMACHO. EC AND HIGUERA. CH

INTERNATIONAL CONFERENCE ON PRACTICAL APPLICATIONS OF AGENTS AND MULTI-AGENT SYSTEMS

CONSTRUCTIVIST APPROACH TO STATE SPACE ADAPTATION IN REINFORCEMENT LEARNING

M GUÉRIAU, N CARDOZO, I DUSPARIC

IEEE 13TH INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS (SASO), 2019

THE PRAGMATIC TURN IN EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI)

A. PAEZ

MINDS AND MACHINES, 2019

AN ANALYSIS OF STUDENT REPRESENTATION, REPRESENTATIVE FEATURES AND CLASSIFICATION ALGORITHMS TO PREDICT DEGREE DROPOUT

R. MANRIQUE, B. PEREIRA,O. MARIÑO, M. CASANOVA, T. NURMIKKO-FULLER

9TH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS AND KNOWLEDGE, 2019

INVESTIGATING LEARNING RESOURCES PRECEDENCE RELATIONS VIA CONCEPT PREREQUISITE LEARNING

R. MANRIQUE, J. SOSA ; O. MARINO ; B. PEREIRA NUNES ; N. CARDOZO

IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI), 2018

GENOMIC ANALYSIS OF COLOMBIAN LEISHMANIA PANAMENSIS STRAINS WITH DIFFERENT LEVEL OF VIRULENCE

D. URREA, J. DUITAMA, H. IMAMURA, J. F. ÁLZATE, J. GIL, N. MUÑOZ, J. VILLA, J. DUJARDIN, J. R. RAMIREZ-PINEDA, O. TRIANA-CHAVEZ

SCIENTIFIC REPORTS, 2018

KNOWLEDGE GRAPH-BASED CORE CONCEPT IDENTIFICATION IN LEARNING RESOURCES

R. MANRIQUE , C. GRÉVISSE, O. MARIÑO, S. ROTHKUGEL

JOINT INTERNATIONAL SEMANTIC TECHNOLOGY CONFERENCE, 2018

SOLEMIO: SEMANTIC INTEGRATION OF LEARNING MATERIAL IN OFFICE

C. GRÉVISSE, R. MANRIQUE, O. MARINO

E-LEARN: WORLD CONFERENCE ON E-LEARNING IN CORPORATE, GOVERNMENT, HEALTHCARE, AND HIGHER EDUCATION 2018

DYNAMIC MULTIMODAL INSTANCE SEGMENTATION GUIDED BY NATURAL LANGUAGE QUERIES

E MARGFFOY-TUAY, JC PÉREZ, E BOTERO, P ARBELÁEZ

ECCV 2018

STRUCTURAL SPARSITY IN NETWORKED CONTROL SYSTEMSS

A. FLORES, LF. GIRALDO

IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2018

3D OBJECT POSE ESTIMATION FOR ROBOTIC PACKING APPLICATIONS

C. RODRIGUEZ-GARAVITO, G. CAMACHO-MUNOZ, D. ÁLVAREZ-MARTÍNEZ, K. CARDENAS, D. ROJAS, A. GRIMALDOS

WORKSHOP ON ENGINEERING APPLICATIONS, 2018

KNOWLEDGE GRAPH-BASED WEIGHTING STRATEGIES FOR A SCHOLARLY PAPER RECOMMENDATION SCENARIO

R MANRIQUE, O MARIÑO

KARS@ RECSYS. 2018

COMPARING GRAPH SIMILARITY MEASURES FOR SEMANTIC REPRESENTATIONS OF DOCUMENTS

R. MANRIQUE, F. CUETO-RAMIREZ, O. MARIÑO

COLOMBIAN CONFERENCE ON COMPUTING, 2018

MULTI-VIEW DYNAMIC FACIAL ACTION UNIT DETECTION

A. ROMERO, J. LEÓN AND P. ARBELÁEZ

IMAGE AND VISION COMPUTING

KNOWLEDGE GRAPH-BASED TEACHER SUPPORT FOR LEARNING MATERIAL AUTHORING

C. GRÉVISSE, R. MANRIQUE, O. MARIÑO, S. ROTHKUGEL

COLOMBIAN CONFERENCE ON COMPUTING, 2018

LIGHT-SHEET ENHANCED RESOLUTION OF LIGHT FIELD MICROSCOPY FOR RAPID IMAGING OF LARGE VOLUMES

J MADRID-WOLFF, D CASTRO, P ARBELÁEZ, M FORERO-SHELTON

THREE-DIMENSIONAL AND MULTIDIMENSIONAL MICROSCOPY: IMAGE ACQUISITION AND PROCESSING XXV, 2018

RECOGNITION OF SKIN MELANOMA THROUGH DERMOSCOPIC IMAGE ANALYSIS

C. GÓMEZ AND D. HERRERA

13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2017

BONE AGE DETECTION VIA CARPOGRAM ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS

F. TORRES, M.A. BRAVO, E SALINAS, G TRIANA AND P. ARBELÁEZ

13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2017

VOLUMETRIC MULTIMODALITY NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION

L.S. CASTILLO, L.A. DAZA, L.C. RIVERA AND P. ARBELÁEZ

13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2017

AUTOMATED DETECTION OF LUNG NODULES WITH THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS

G. PÉREZ AND P. ARBELÁEZ

13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2017

AUTOMATIC DIABETIC RETINOPATHY CLASSIFICATION

M.A. BRAVO AND P. ARBELÁEZ

13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2017

ANALYSIS AND RE-CONFIGURATION OF DECISION LOGIC IN ADAPTIVE AND DATA-INTENSIVE PROCESSES

L. OCHOA, O. GONZÁLEZ-ROJAS

OTM CONFEDERATED INTERNATIONAL CONFERENCES” ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS” , 2017

DIVERSIFIED SEMANTIC QUERY REFORMULATION

R. MANRIQUE, O. MARIÑO

INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND THE SEMANTIC WEB, 2017

LEARNING TO SEGMENT MOUSE EMBRYO CELLS

J. LEÓN, A. PARDO AND P. ARBELÁEZ

13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (SIPAIM), 2017

HOW DOES THE SIZE OF A DOCUMENT AFFECT LINKED OPEN DATA USER MODELING STRATEGIES?

R. MANRIQUE, O. MARIÑO

INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, 2017

EXPLORING THE USE OF LINKED OPEN DATA FOR USER RESEARCH INTEREST MODELING

R MANRIQUE, O HERAZO, O MARIÑO

INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, 2017

THE 2017 DAVIS CHALLENGE ON VIDEO OBJECT SEGMENTATION

PONT-TUSET, J., PERAZZI, F., CAELLES, S., ARBELÁEZ, P., SORKINE-HORNUNG, A., AND VAN GOOL, L.

ARXIV PREPRINT

BRAIN TUMOR SEGMENTATION AND PARSING ON MRIS USING MULTIRESOLUTION NEURAL NETWORKS

LS. CASTILLO, LA. DAZA, LC. RIVERA, P. ARBELÁEZ

BRAIN LESION WORKSHOP OF THE MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTIONS CONFERENCE, 2017

PEACE CORP: LEARNING TO SOLVE CONFLICTS BETWEEN CONTEXTS

N. CARDOZO, I. DUSPARIC, JH. CASTRO

PROCEEDINGS OF THE 9TH INTERNATIONAL WORKSHOP ON CONTEXT-ORIENTED PROGRAMMING, 2017

CONVOLUTIONAL ORIENTED BOUNDARIES: FROM IMAGE SEGMENTATION TO HIGH-LEVEL TASKS

KEVIS-KOKITSI MANINIS, JORDI PONT-TUSET, PABLO ARBELÁEZ, AND LUC VAN GOOL

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017

SEARCHING FOR OPTIMAL CONFIGURATIONS WITHIN LARGE-SCALE MODELS: A CLOUD COMPUTING DOMAIN

L. OCHOA, O. GONZÁLEZ-ROJAS, M. VERANO, H. CASTRO

INTERNATIONAL CONFERENCE ON CONCEPTUAL MODELING, 2017

OBJECT INSTANCE SEGMENTATION AND FINE-GRAINED LOCALIZATION USING HYPERCOLUMNS

HARIHARAN, B., ARBELAEZ, P., GIRSHICK, R., AND MALIK, J.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 39(4), 627-639.

MULTISCALE COMBINATORIAL GROUPING FOR IMAGE SEGMENTATION AND OBJECT PROPOSAL GENERATION

J. PONT-TUSET*, P. ARBELAEZ*, J. BARRON, F. MARQUES AND J. MALIK

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017

DEEP RETINAL IMAGE UNDERSTANDING

K.K. MANINIS, J. PONT-TUSET, P. ARBELAEZ, AND L. VAN GOOL

MICCAI, 2016

ANALYSIS OF PHOW REPRESENTATIONS FOR ALZHEIMER DISEASE CLASSIFICATION ON BRAIN STRUCTURAL MRI

R. MENDOZA, F. GONZALEZ, P. ARBELAEZ, J. PUENTES AND M. HERNANDEZ

ISBI, 2016

VISUALIZATION IMPROVEMENT IN LEARNING ANALYTICS USING SEMANTIC ENRICHMENT

G. FERNÁNDEZ, O. MARIÑO

DISCOVERING INTERESTING PATTERNS IN AN E-LEARNING SYSTEM, 2016

CONVOLUTIONAL ORIENTED BOUNDARIES

K.K. MANINIS, J. PONT-TUSET, P. ARBELAEZ, AND L. VAN GOOL

ECCV, 2016

THE THREE R’S OF COMPUTER VISION: RECOGNITION, RECONSTRUCTION AND REORGANIZATION

J. MALIK, P. ARBELAEZ, J. CARREIRA, K. FRAGKIADAKI, R. GIRSHICK, G. GKIOXARI, S. GUPTA, B. HARIHARAN, A. KAR AND S. TULSIANI

PATTERN RERCOGNITION LETTERS, 2016

HYPERCOLUMNS FOR OBJECT SEGMENTATION AND FINE-GRAINED LOCALIZATION

B.HARIHARAN, P. ARBELAEZ, R. GIRSHICK AND J. MALIK

CVPR, 2015. (ORAL)

ALIGNING 3D MODELS TO RGB-D IMAGES OF CLUTTERED SCENES

S. GUPTA, P. ARBELAEZ, R. GIRSHICK AND J. MALIK

CVPR, 2015

LEARNING TO SEGMENT MOVING OBJECTS IN VIDEOS

K. FRAGKIADAKI, P. ARBELAEZ, P. FELSEN AND J. MALIK

CVPR, 2015

INDOOR SCENE UNDERSTANDING WITH RGB-D IMAGES: BOTTOM-UP SEGMENTATION, OBJECT DETECTION AND SEMANTIC SEGMENTATION

S. GUPTA, P. ARBELAEZ, R. GIRSHICK AND J. MALIK

INTERNATIONAL JOURNAL OF COMPUTER VISION (IJCV), 2015

COMPETENCY-BASED PERSONALIZATION FOR MASSIVE ONLINE LEARNING

G. PAQUETTE, O. MARIÑO, D. ROGOZAN , M. LÉONARD

SMART LEARNING ENVIRONMENTS, 2015

GROUPING-BASED LOW-RANK TRAJECTORY COMPLETION AND 3D RECONSTRUCTION

K. FRAGKIADAKI, M. SALAS, P. ARBELAEZ AND J. MALIK

NIPS, 2014

DOMAIN SPECIFIC LANGUAGE FOR HANDLING MODULAR ONTOLOGIES

C. CABRERA, O. MARIÑO

9TH COMPUTING COLOMBIAN CONFERENCE ,2014

LEARNING RICH FEATURES FROM RGB-D IMAGES FOR OBJECT DETECTION AND SEGMENTATION

S. GUPTA, R.GIRSHICK, P. ARBELAEZ AND J. MALIK

ECCV, 2014

SIMULTANEOUS DETECTION AND SEGMENTATION

B. HARIHARAN, P. ARBELAEZ, R.GIRSHICK AND J. MALIK

ECCV, 2014

AUTOMATED PARTICLE CORRESPONDENCE AND ACCURATE TILT-AXIS DETECTION IN TILTED-IMAGE PAIRS

M. SHATSKY*, P. ARBELAEZ*, B.G. HAN, D. TYPKE, S. BRENNER, J. MALIK AND R. GLAESER

JOURNAL OF STRUCTURAL BIOLOGY, 2014

MULTISCALE COMBINATORIAL GROUPING

P. ARBELAEZ*, J. PONT-TUSET*, J. BARRON, F. MARQUES AND J. MALIK

CVPR, 2014

ON THE OPTIMAL PARKING LOT SUBSCRIPTION POLICY PROBLEM: A HYBRID SIMULATION-OPTIMIZATION APPROACH

R. AKHAVAN-TABATABAEI, M. BOLÍVAR, J. HINCAPIE, A. MEDAGLIA

ANNALS OF OPERATIONS RESEARCH, 2014

A DISCRIMINANT MULTI-SCALE HISTOPATHOLOGY DESCRIPTOR USING DICTIONARY LEARNING

D. ROMO, J. GARCIA, P. ARBELAEZ AND E. ROMERO

PROGRESS IN BIOMEDICAL OPTICS AND IMAGING, SPIE, 2014

VOLUMETRIC SEMANTIC SEGMENTATION USING PYRAMID CONTEXT FEATURES

J. BARRON, P. ARBELAEZ, S. KERANEN, M. BIGGIN, D. KNOWLES AND J. MALIK

ICCV, 2013

OPTIMAL AND FAST ROTATIONAL ALIGNMENT OF VOLUMES WITH MISSING DATA IN FOURIER SPACE

M. SHATSKY, P. ARBELAEZ, R. GLAESER AND S. BRENNER

JOURNAL OF STRUCTURAL BIOLOGY, 2013

PERCEPTUAL ORGANIZATION AND RECOGNITION OF INDOOR SCENES FROM RGBD IMAGES

S. GUPTA, P. ARBELAEZ AND J. MALIK

CVPR, 2013. (ORAL)

ARTICULATED POSE ESTIMATION USING DISCRIMINATIVE ARMLET CLASSIFIERS

G. GKIOXARI, P. ARBELAEZ, L. BOURDEV AND J. MALIK

CVPR, 2013

AN EVENT-DRIVEN OPTIMIZATION FRAMEWORK FOR DYNAMIC VEHICLE ROUTING

V. PILLAC, C. GUÉRET, AL. MEDAGLIA

DECISION SUPPORT SYSTEMS, 2012

ELECTRON MICROSCOPY OF BIOTINYLATED PROTEIN COMPLEXES BOUND TO STREPTAVIDIN MONOLAYER CRYSTALS

B.G. HAN, R. WALTON, A. SONG, P. HWU, M. STUBBS, S. YANNONE, P. ARBELAEZ, M. DONG AND R. GLAESER

JOURNAL OF STRUCTURAL BIOLOGY, 2012

MULTI-COMPONENT MODELS FOR OBJECT DETECTION

C. GU, P. ARBELAEZ, Y. LIN, K. YU AND J. MALIK

ECCV, 2012

AUTOMATED TUBERCULOSIS DIAGNOSIS USING FLUORESCENCE IMAGES FROM A MOBILE MICROSCOPE

J. CHANG, P. ARBELAEZ, N. SWITZ, C. REBER, A. TAPLEY, L. DAVIS, A. CATTAMANCHI, D. FLETCHER AND J. MALIK

MICCAI, 2012

COMPETENCY COMPARISON RELATIONS FOR RECOMMENDATION IN TECHNOLOGY ENHANCED LEARNING SCENARIOS

G. PAQUETTE, D. ROGOZAN, O. MARIÑO

RECSYSTEL, 2012

SEMANTIC SEGMENTATION USING REGIONS AND PARTS

P. ARBELAEZ, B. HARIHARAN, C. GU, S. GUPTA, L. BOURDEV AND J. MALIK

CVPR, 2012. (ORAL)

SEMANTIC CONTOURS FROM INVERSE DETECTORS

B. HARIHARAN, P. ARBELAEZ, L. BOURDEV, S. MAJI AND J. MALIK

ICCV, 2011

OCCLUSION BOUNDARY DETECTION AND FIGURE/GROUND ASSIGNMENT FROM OPTICAL FLOW

P. SUNDBERG, T. BROX, M. MAIRE, P. ARBELAEZ AND J. MALIK

CVPR, 2011. (ORAL)

CONTOUR DETECTION AND HIERARCHICAL IMAGE SEGMENTATION

P. ARBELAEZ, M. MAIRE, C. FOWLKES AND J. MALIK

IEEE TPAMI, VOL. 33, NO. 5, PP. 898-916, MAY 2011

EXPERIMENTAL EVALUATION OF SUPPORT VECTOR MACHINE-BASED AND CORRELATION-BASED APPROACHES TO AUTOMATIC PARTICLE SELECTION

P. ARBELAEZ, B.G. HAN, D. TYPKE, J. LIM, R.M. GLAESER AND J. MALIK

JOURNAL OF STRUCTURAL BIOLOGY, 2011

CONSTRUCTIVE HEURISTICS FOR THE MULTI-COMPARTMENT VEHICLE ROUTING PROBLEM WITH STOCHASTIC DEMANDS

J. MENDOZA, B. CASTANIER, C. GUÉRET, A. MEDAGLIA, N. VELASCO

TRANSPORTATION SCIENCE, 2011

A MULTI-ACTOR ONTOLOGY-BASED ASSISTANCE MODEL: A CONTRIBUTION TO THE ADAPTIVE SEMANTIC WEB

G. PAQUETTE, O. MARIÑO

INTELLIGENT AND ADAPTIVE LEARNING SYSTEMS : TECHNOLOGY-ENCHANCED SUPPORT FOR LEARNERS AND TEACHERS, 2011

FINDING SEMANTIC STRUCTURES IN IMAGE HIERARCHIES USING LAPLACIAN GRAPH ENERGY

Y. SONG, P. ARBELAEZ, P.HALL, C. LI, AND A. BALIKAI

ECCV, 2010

COMPETENCY-DRIVEN SCENARIOS AND ACTOR MODELLING

G. PAQUETTE, O. MARIÑO

VISUAL KNOWLEDGE MODELING FOR SEMANTIC WEB TECHNOLOGIES: MODELS AND ONTOLOGIES¸2010

CONTEXT BY REGION ANCESTRY

J. LIM, P. ARBELAEZ, C. GU, AND J. MALIK

ICCV, 2009

ARTIFICIAL EXPLANATIONS: THE EPISTEMOLOGICAL INTERPRETATION OF EXPLANATION IN AI

A. PÁEZ

SYNTHESE, 2009

FROM CONTOURS TO REGIONS: AN EMPIRICAL EVALUATION

P. ARBELAEZ, M. MAIRE, C. FOWLKES AND J. MALIK

CVPR, 2009

RECOGNITION USING REGIONS

C. GU, J. LIM, P. ARBELAEZ AND J. MALIK

CVPR, 2009. (ORAL)

ESTRATEGIA DE SELECCIÓN DE ENTRADAS Y PARÁMETROS ÓPTIMOS PARA MÁQUINAS DE SOPORTE VECTORIAL

D. MARTÍNEZ, G. RIVERA, J. MORA

SCIENTIA ET TECHNICA, 2009.

CONSTRAINED IMAGE SEGMENTATION FROM HIERARCHICAL BOUNDARIES

P. ARBELAEZ AND L. COHEN

CVPR, 2008

USING CONTOURS TO DETECT AND LOCALIZE JUNCTIONS IN NATURAL IMAGES

M. MAIRE, P. ARBELAEZ, C. FOWLKES AND J. MALIK

CVPR, 2008. (ORAL)

BOUNDARY EXTRACTION IN NATURAL IMAGES USING ULTRAMETRIC CONTOUR MAPS

P. ARBELAEZ

PROCEEDINGS 5TH IEEE WORKSHOP ON PERCEPTUAL ORGANIZATION IN COMPUTER VISION (POCV’06). JUNE 2006. NEW YORK, USA

A METRIC APPROACH TO VECTOR-VALUED IMAGE SEGMENTATION

P. ARBELAEZ AND L. COHEN

INTERNATIONAL JOURNAL OF COMPUTER VISION. VOL. 69. NO. 1. PP.119-126. 2006

UNE APPROCHE METRIQUE POUR LA SEGMENTATION D’IMAGES

P. ARBELAEZ

PH.D. DISSERTATION. CEREMADE, UNIVERSITE PARIS-DAUPHINE. PARIS, FRANCE. DEFENDED ON 24/11/2005

SEGMENTATION D’IMAGES COULEUR PAR PARTITIONS DE VORONOI

P. ARBELAEZ AND L. COHEN

REVUE TRAITEMENT DU SIGNAL. VOL. 21. NO. 5. PP.407-421. 2004

SEGMENTATION D’IMAGES VECTORIELLES PAR PARTITIONS DE VORONOI GENERALISEES

P. ARBELAEZ AND L. COHEN

ACTES 14EME CONGRES FRANCOPHONE DE RECONNAISSANCE DES FORMES ET INTELLIGENCE ARTIFICIELLE (RFIA’04). JANVIER 2004. TOULOUSE, FRANCE

ENERGY PARTITIONS AND IMAGE SEGMENTATION

P. ARBELAEZ AND L. COHEN

JOURNAL OF MATHEMATICAL IMAGING AND VISION. VOL. 20. NO. 1-2. PP. 43-57. 2004

GENERALIZED VORONOI TESSELLATIONS FOR VECTOR-VALUED IMAGE SEGMENTATION

P. ARBELAEZ AND L. COHEN

PROCEEDINGS 2ND IEEE WORKSHOP ON VARIATIONAL, GEOMETRIC AND LEVEL SET METHODS IN COMPUTER VISION (VLSM’03). SEPTEMBRE 2003. NICE, FRANCE

THE EXTREMA EDGES

P. ARBELAEZ AND L. COHEN

PROCEEDINGS 4TH INTERNATIONAL CONFERENCE ON SCALE-SPACE THEORIES IN COMPUTER VISION (SCALE-SPACE’03). PP. 180-195. JULY 2003. ISLE OF SKYE, U.K

PATH VARIATION AND IMAGE SEGMENTATION

P. ARBELAEZ AND L. COHEN

PROCEEDINGS 4TH INTERNATIONAL WORKSHOP ON ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION (EMMCVPR’03). PP. 246-260. JUNE 2003. LISBON, PORTUGAL

PARTITIONS D’ENERGIE ET SEGMENTATION D’IMAGES

P. ARBELAEZ AND L. COHEN

ACTES DES JOURNEES FRANCOPHONES DES JEUNES CHERCHEURS EN VISION PAR ORDINATEUR (ORASIS’03). PP. 375-384. MAI 2003. GERARDMER, FRANCE