J
Jose Costa Pereira
Researcher at Huawei
Publications - 17
Citations - 2105
Jose Costa Pereira is an academic researcher from Huawei. The author has contributed to research in topics: Image retrieval & Computer science. The author has an hindex of 8, co-authored 15 publications receiving 1643 citations. Previous affiliations of Jose Costa Pereira include University of California, San Diego & University of Porto.
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Proceedings ArticleDOI
A new approach to cross-modal multimedia retrieval
Nikhil Rasiwasia,Jose Costa Pereira,Emanuele Coviello,Gabriel Doyle,Gert R. G. Lanckriet,Roger Levy,Nuno Vasconcelos +6 more
TL;DR: It is shown that accounting for cross-modal correlations and semantic abstraction both improve retrieval accuracy and are shown to outperform state-of-the-art image retrieval systems on a unimodal retrieval task.
Journal ArticleDOI
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval
Jose Costa Pereira,Emanuele Coviello,Gabriel Doyle,Nikhil Rasiwasia,Gert R. G. Lanckriet,Roger Levy,Nuno Vasconcelos +6 more
TL;DR: A mathematical formulation equating the design of cross-modal retrieval systems to that of isomorphic feature spaces for different content modalities is proposed, finding that both hypotheses hold, in a complementary form, although evidence in favor of the abstraction hypothesis is stronger than that for correlation.
Journal ArticleDOI
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter,Diana S. M. Buist,Christoph I. Lee,Yaroslav Nikulin,Dezső Ribli,Yuanfang Guan,William Lotter,Zequn Jie,Hao Du,Sijia Wang,Jiashi Feng,Mengling Feng,Hyo-Eun Kim,F. Albiol,Alberto Albiol,Stephen Morrell,Zbigniew Wojna,Mehmet Eren Ahsen,Umar Asif,Antonio Jimeno Yepes,Shivanthan A.C. Yohanandan,Simona Rabinovici-Cohen,Darvin Yi,Bruce Hoff,Thomas Yu,Elias Chaibub Neto,Daniel L. Rubin,Peter Lindholm,Laurie R. Margolies,Russell B. McBride,Joseph H. Rothstein,Weiva Sieh,Rami Ben-Ari,Stefan Harrer,Andrew D. Trister,Stephen H. Friend,Thea Norman,Berkman Sahiner,Fredrik Strand,Fredrik Strand,Justin Guinney,Gustavo Stolovitzky,Lester Mackey,Joyce Cahoon,Li Shen,Jae Ho Sohn,Hari Trivedi,Yiqiu Shen,Ljubomir Buturovic,Jose Costa Pereira,Jaime S. Cardoso,Eduardo Castro,Karl Trygve Kalleberg,Obioma Pelka,Imane Nedjar,Krzysztof J. Geras,Felix Nensa,Ethan Goan,Sven Koitka,Sven Koitka,Luis Caballero,David D. Cox,Pavitra Krishnaswamy,Gaurav Pandey,Christoph M. Friedrich,Dimitri Perrin,Clinton Fookes,Bibo Shi,Gerard Cardoso Negrie,Michael Kawczynski,Kyunghyun Cho,Can Son Khoo,Joseph Y. Lo,A. Gregory Sorensen,Hwejin Jung +74 more
TL;DR: This diagnostic accuracy study evaluates whether artificial intelligence can overcome human mammography interpretation limits with a rigorous, unbiased evaluation of machine learning algorithms.
Proceedings ArticleDOI
Elastic deformations for data augmentation in breast cancer mass detection
TL;DR: This work proposes a method for data augmentation, based on the introduction of random elastic deformations on images of mammograms, that can be used in the more interesting problem of mass detection in full mammograms by transforming the CNN into a Fully Convolutional Network (FCN).
Proceedings ArticleDOI
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu,Haoming Cai,Chao Dong,Jimmy Ren,Yu Qiao,Shuhang Gu,Radu Timofte,Manri Cheon,Sung-Jun Yoon,Byungyeon Kang,Junwoo Lee,Qing Zhang,Haiyang Guo,Bin Yi,Yuqing Hou,Hengliang Luo,Jingyu Guo,Zirui Wang,Hai Wang,Wenming Yang,Qingyan Bai,Shuwei Shi,Weihao Xia,Mingdeng Cao,Jiahao Wang,Yifan Chen,Yujiu Yang,Yang Li,Tao Zhang,Longtao Feng,Yiting Liao,Junlin Li,William Thong,Jose Costa Pereira,Ales Leonardis,Steven McDonagh,Kele Xu,Lehan Yang,Hengxing Cai,Pengfei Sun,Seyed Mehdi Ayyoubzadeh,Ali Royat,Sid Ahmed Fezza,Dounia Hammou,Wassim Hamidouche,Sewoong Ahn,Gwangjin Yoon,Koki Tsubota,Hiroaki Akutsu,Kiyoharu Aizawa +49 more
TL;DR: The NTIRE 2021 challenge on perceptual image quality assessment (IQA) as discussed by the authors was held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.