2023
Top 2% of most-cited researchers in the world, according to the Stanford University, Elsevier list
Human Rights Academic Recognition Award, Human Rights Academic Recognition Award: UNICAMP-Vladimir Herzog Institute, “Leveraging Self-supervised Learning for Scene Recognition in Child Sexual Abuse Imagery” (Master thesis), M.Sc.: Pedro Valois
2022
Google Awards for Inclusion Research, Google AIR 2022: Google Awards for Inclusion Research, “Dark Skin Matters: Fair and Unbiased Skin Injury Models”
Top 2% of most-cited researchers in the world, according to the Stanford University, Elsevier list
Honorable Mention Award, ISIC Skin Image Analysis Workshop at ECCV'22, “An Evaluation of Self-supervised Pre-training for Skin-injury Analysis”, Ph.D. student: Levy Chaves
2021
Google Research Awards, Google LARA 2021: Latin America Research Awards, “The Quest for Generalization in Small Medical Datasets”, M.Sc. student: Levy Gurgel Chaves
2020
Google Research Awards, Google LARA 2020: Latin America Research Awards, “Rethinking Automated Skin Cancer Classification with Unsupervised Representation Learning - Extension”, Ph.D. student: Alceu Bissoto
BRICS Young Scientist (Artificial Intelligence), 5th BRICS Young Scientist Forum
Scientific Merit, XXVIII {Virtual} UNICAMP Scientific Initiation Congress, “#PraCegoVer: Automatic Image Audiodescription” Video, Undergraduate student: Gabriel Oliveira dos Santos
Best Master's Thesis Award, Workshop of Theses and Dissertations (WTD), Conference on Graphics, Patterns and Images (SIBGRAPI), “Improving Skin Cancer Analysis with Generative Adversarial Networks”, M.Sc .: Alceu Bissoto
Honorable Mention Award, ISIC Skin Image Analysis Workshop at CVPR'20, “Debiasing skin lesion datasets and models? Not so fast ”, Ph.D. student: Alceu Bissoto
Best Master's Thesis Award, Thesis and Dissertation Contest (CTD), Brazilian Symposium on Computing Applied to Health (SBCAS), “Analysis of Skin Lesions using Adversarial Generative Networks”, M.Sc .: Alceu Bissoto, Video
2019
Google Research Awards, Google LARA 2019: Latin America Research Awards, “Improving Skin Cancer Classification with Generative Adversarial Networks - Extension”, Ph.D. student: Alceu Bissoto
Best Paper Award, ISIC Skin Image Analysis Workshop at CVPR'19, ”(De) Constructing Bias on Skin Lesion Datasets”, M.Sc. student: Alceu Bissoto
Futuro Cientista Award, 13th Interinstitutional Scientific Initiation Congress (CIIC), “Detecting Fruits in Viticulture using Neural Networks and the Embrapa WGISD Database”, Undergraduate student: Leonardo Lima De Souza
2018
Scientific Merit, XXVI UNICAMP Scientific Initiation Congress, “Pornographic Cartoon Video Detection through Deep Neural Networks”, Undergraduate student: Akari Ishikawa
Futuro Cientista Award, 12th Interinstitutional Scientific Initiation Congress (CIIC), “Automatic Detection of Grapes and Leaves in Viticulture with a YOLOv2 Neural Network”, Undergraduate student: Andreza Aparecida dos Santos
Google Research Awards, Google LARA 2018: Latin America Research Awards, “Improving Skin Cancer Classification with Generative Adversarial Networks”, M.Sc. student: Alceu Bissoto
Best Paper Award, ISIC Skin Image Analysis Workshop at MICCAI'18, "Data Augmentation for Skin Injury Analysis"
UNICAMP Inventors Award, Licensed Technology, "Multimodal and real-time method for sensitive media content filtering"
Best Poster Award (2nd place), International Educational Symposium of The Melanoma World Society, “Generating High Quality Synthetic Skin Lesions for Boosting Automated Screening”, PhD. Student: Michel Fornaciali, M.Sc. student: Alceu Bissoto.
Most Cited Computer Vision and Image Understanding Articles (published since 2013), "Pooling in Image Representation: the Visual Codeword Point of View"
2017
honorable mention, 12th Brazilian Conference on Melanoma, “Knowledge Transfer for Melanoma Screening with Deep Learning”
ISIC 2017 Challenge (3rd place), Skin Lesion Analysis Towards Melanoma Detection Part 3: Lesion Classification, IEEE International Symposium on Biomedical Imaging, RECOD Titans Team
Most Cited Computer Vision and Image Understanding Articles (published since 2012), "Pooling in Image Representation: the Visual Codeword Point of View"
2016
Best Paper Award (2nd place), XII Computer Vision Workshop, "A Two-tier Image Representation Approach to Detecting Child Pornography", M.Sc. student: Paulo Vitorino.
Best Poster Award (1st place), Exact and Earth Sciences, VIII Initiation Meeting on Technological Development and Innovation (EIDTI), Federal University of Sergipe, “Combating Waste: Implementation of the Logistics of an Application for Food Donation”, Undergraduate students: Nívea Neyara Bomfim Melo and Davi Silva dos Santos
Most Cited Computer Vision and Image Understanding Articles (published since 2011), "Pooling in Image Representation: the Visual Codeword Point of View"
Most Cited Pattern Recognition Letters Articles (published since 2011), “VSUMM: A Mechanism Designed to Produce Static Video Summaries and a Novel Evaluation Method”
2015
Most Cited Pattern Recognition Letters Articles (published since 2010), “VSUMM: A Mechanism Designed to Produce Static Video Summaries and a Novel Evaluation Method”
2014
MediaEval 2014 Violent Scenes Detection Task (2nd place), YouTube Videos, MediaEval 2014 Workshop, “RECOD at MediaEval 2014: Violent Scenes Detection task”
Most Cited Pattern Recognition Letters Articles (published since 2009), “VSUMM: A Mechanism Designed to Produce Static Video Summaries and a Novel Evaluation Method”
2012
ImageCLEF 2012 Flickr Photo Annotation Task (2nd place), Visual Information, Conference and Labs of the Evaluation Forum (CLEF), “BossaNova at ImageCLEF 2012 Flickr photo annotation task”