Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Y. Tian, F. Liu, G. Pang, Y. Chen, Y. Liu, J. Verjans, R. Singh, and G. Carneiro. CoRR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Vincent Pang

Cuiping Pang

Jian Pang

Xiaobin Pang

Shixuan Pang

Other publications of authors with the same name

Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.Y. Tian, G. Pang, F. Liu, Y. Liu, C. Wang, Y. Chen, J. Verjans, and G. Carneiro. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 88-98. Springer, (2022)Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities.G. Pang, L. Cao, and C. Aggarwal. WSDM, page 1127-1130. ACM, (2021)Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification.J. Zhao, Y. Yang, G. Pang, L. Lv, H. Shang, Z. Sun, and W. Yang. PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 798-810. Springer, (2020)Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.Y. Tian, F. Liu, G. Pang, Y. Chen, Y. Liu, J. Verjans, R. Singh, and G. Carneiro. CoRR, (2021)BV-Person: A Large-scale Dataset for Bird-view Person Re-identification.C. Yan, G. Pang, L. Wang, J. Jiao, X. Feng, C. Shen, and J. Li. ICCV, page 10923-10932. IEEE, (2021)Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.Y. Tian, G. Pang, Y. Chen, R. Singh, J. Verjans, and G. Carneiro. ICCV, page 4955-4966. IEEE, (2021)Non-IID outlier detection with coupled outlier factorsG. Pang. University of Technology Sydney, Australia, (2019)Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning.W. Miao, G. Pang, X. Bai, T. Li, and J. Zheng. AAAI, page 4216-4224. AAAI Press, (2024)Deep Hashing by Discriminating Hard Examples.C. Yan, G. Pang, X. Bai, C. Shen, J. Zhou, and E. Hancock. ACM Multimedia, page 1535-1542. ACM, (2019)Unraveling the Änomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.Y. Sun, G. Pang, G. Ye, T. Chen, X. Hu, and H. Yin. CoRR, (2023)

BibSonomy

Disambiguation of "Pang, Guansong"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Please choose a person to relate this publication to

Vincent Pang

Cuiping Pang

Jian Pang

Xiaobin Pang

Shixuan Pang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pang, Guansong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.

Please choose a person to relate this publication to

Vincent Pang

Cuiping Pang

Jian Pang

Xiaobin Pang

Shixuan Pang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.