Research Publications Archive - Biomedical Computer Vision

BoDiffusion: Diffusing Sparse Observations for Full-Body Human MotionSynthesis

Angela Castillo, Maria Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbelaez, Ali Thabet, Artsiom Sanakoyeu

ICCV 2023

Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse

Juanita Puentes, Angela Castillo, Wilmar Osejo, Yuly Calderón, Viviana Quintero, Lina Saldarriaga, Diana Agudelo, Pablo Arbeláez

ICCV 2023

SEPAL: Spatial Gene Expression Prediction from Local Graphs

Gabriel Mejia, Paula Cárdenas, Daniela Ruiz, Angela Castillo, Pablo Arbeláez

ICCV 2023

Matis: Masked-attention transformers for surgical instrument segmentation

Nicolás Ayobi, Alejandra Pérez-Rondón, Santiago Rodríguez, Pablo Arbeláez

ISBI 2023

FeST: Learning Spatio-Temporal Priors for Fetal Brain MRI Segmentation

María F Peñuela, Luisa Vargas, Santiago Usma, María Escobar, Angela Castillo, Pablo Arbeláez

ISBI 2023

Piglet: Pixel-level grounding of language expressions with transformers

Cristina González, Nicolás Ayobi, Isabela Hernández, Jordi Pont-Tuset, Pablo Arbeláez

TPAMI

STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction

Cristina González, Nicolás Ayobi, Felipe Escallón, Laura Baldovino-Chiquillo, Maria Wilches-Mogollón, Donny Pasos, Nicole Ramírez, Jose Pinzón, Olga Sarmiento, D Alex Quistberg, Pablo Arbeláez

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

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. C. PÉREZ, P. ARBELÁEZ

MICCAI 2021

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

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

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

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

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

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

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 LUNG CANCER DIAGNOSIS USING THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS

G.PÉREZ AND P. ARBELÁEZ

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

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

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

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

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

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

DYNAMIC MULTIMODAL INSTANCE SEGMENTATION GUIDED BY NATURAL LANGUAGE QUERIES

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

ECCV 2018

MULTI-VIEW DYNAMIC FACIAL ACTION UNIT DETECTION

A. ROMERO, J. LEÓN AND P. ARBELÁEZ

IMAGE AND VISION COMPUTING

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

LEARNING TO SEGMENT MOUSE EMBRYO CELLS

J. LEÓN, A. PARDO AND P. ARBELÁEZ

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

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

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

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

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

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

NIPS, 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

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

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

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

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

FINDING SEMANTIC STRUCTURES IN IMAGE HIERARCHIES USING LAPLACIAN GRAPH ENERGY

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

ECCV, 2010

CONTEXT BY REGION ANCESTRY

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

ICCV, 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)

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

Our publications by year

Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

BoDiffusion: Diffusing Sparse Observations for Full-Body Human MotionSynthesis

Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse

SEPAL: Spatial Gene Expression Prediction from Local Graphs

Matis: Masked-attention transformers for surgical instrument segmentation

FeST: Learning Spatio-Temporal Priors for Fetal Brain MRI Segmentation

Piglet: Pixel-level grounding of language expressions with transformers

STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction

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

Towards Holistic Surgical Scene Understanding

Towards Assessing and Characterizing the Semantic Robustness of Face Recognition

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

SURGICAL INSTRUMENT GROUNDING FOR ROBOT-ASSISTED INTERVENTIONS

MIcro-surgical anastomose workflow recognition challenge report

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

PANOPTIC NARRATIVE GROUNDING

A HIERARCHICAL ASSESSMENT OF ADVERSARIAL SEVERITY

ENHANCING ADVERSARIAL ROBUSTNESS VIA TEST-TIME TRANSFORMATION ENSEMBLING

GENERALIZED REAL-WORLD SUPER-RESOLUTION THROUGH ADVERSARIAL ROBUSTNESS

TOWARDS ROBUST GENERAL MEDICAL IMAGE SEGMENTATION

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

MAIN: Multi-Attention Instance Network for Video Segmentation

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

The medical segmentation decathlon

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

PHARMANET: PHARMACEUTICAL DISCOVERY WITH DEEP RECURRENT NEURAL NETWORKS

LUCAS: LUNG CANCER SCREENING WITH MULTIMODAL BIOMARKERS

ULTRAGAN: ULTRASOUND ENHANCEMENT THROUGH ADVERSARIAL GENERATION

ADVPC: TRANSFERABLE ADVERSARIAL PERTURBATIONS ON 3D POINT CLOUDS

SMART POOLING: AI POWERED COVID-19 TESTING

SIMBA: Specific Identity Markers for Bone Age Assessment

ISINET: AN INSTANCE-BASED APPROACH FOR SURGICAL INSTRUMENT SEGMENTATION

AUTOMATED LUNG CANCER DIAGNOSIS USING THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS

ACTIVE SPEAKERS IN CONTEXT

ROBUST MEDICAL INSTRUMENT SEGMENTATION CHALLENGE 2019

GABOR LAYERS ENHANCE NETWORK ROBUSTNES

AN EMPIRICAL STUDY ON GLOBAL BONE AGE ASSESSMENT

HAND POSE ESTIMATION FOR PEDIATRIC BONE AGE ASSESSMENT

LEARNING TO SEGMENT BRAIN TUMORS

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

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

DYNAMIC MULTIMODAL INSTANCE SEGMENTATION GUIDED BY NATURAL LANGUAGE QUERIES

MULTI-VIEW DYNAMIC FACIAL ACTION UNIT DETECTION

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

RECOGNITION OF SKIN MELANOMA THROUGH DERMOSCOPIC IMAGE ANALYSIS

BONE AGE DETECTION VIA CARPOGRAM ANALYSIS USING CONVOLUTIONAL NEURAL NETWORKS

VOLUMETRIC MULTIMODALITY NEURAL NETWORK FOR BRAIN TUMOR SEGMENTATION

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

AUTOMATIC DIABETIC RETINOPATHY CLASSIFICATION

LEARNING TO SEGMENT MOUSE EMBRYO CELLS

THE 2017 DAVIS CHALLENGE ON VIDEO OBJECT SEGMENTATION

BRAIN TUMOR SEGMENTATION AND PARSING ON MRIS USING MULTIRESOLUTION NEURAL NETWORKS

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

OBJECT INSTANCE SEGMENTATION AND FINE-GRAINED LOCALIZATION USING HYPERCOLUMNS

MULTISCALE COMBINATORIAL GROUPING FOR IMAGE SEGMENTATION AND OBJECT PROPOSAL GENERATION

DEEP RETINAL IMAGE UNDERSTANDING

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

CONVOLUTIONAL ORIENTED BOUNDARIES

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

HYPERCOLUMNS FOR OBJECT SEGMENTATION AND FINE-GRAINED LOCALIZATION

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

LEARNING TO SEGMENT MOVING OBJECTS IN VIDEOS

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

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

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

SIMULTANEOUS DETECTION AND SEGMENTATION

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

MULTISCALE COMBINATORIAL GROUPING

A DISCRIMINANT MULTI-SCALE HISTOPATHOLOGY DESCRIPTOR USING DICTIONARY LEARNING

VOLUMETRIC SEMANTIC SEGMENTATION USING PYRAMID CONTEXT FEATURES

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

PERCEPTUAL ORGANIZATION AND RECOGNITION OF INDOOR SCENES FROM RGBD IMAGES

ARTICULATED POSE ESTIMATION USING DISCRIMINATIVE ARMLET CLASSIFIERS

ELECTRON MICROSCOPY OF BIOTINYLATED PROTEIN COMPLEXES BOUND TO STREPTAVIDIN MONOLAYER CRYSTALS

AUTOMATED TUBERCULOSIS DIAGNOSIS USING FLUORESCENCE IMAGES FROM A MOBILE MICROSCOPE

SEMANTIC SEGMENTATION USING REGIONS AND PARTS

SEMANTIC CONTOURS FROM INVERSE DETECTORS

OCCLUSION BOUNDARY DETECTION AND FIGURE/GROUND ASSIGNMENT FROM OPTICAL FLOW

CONTOUR DETECTION AND HIERARCHICAL IMAGE SEGMENTATION