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ORCIDDomain Adaptation for Visual Understanding, 2020
- Richa Singh
, Mayank Vatsa, Vishal M. Patel, Nalini K. Ratha:
Domain Adaptation for Visual Understanding. Springer 2020, ISBN 978-3-030-30670-0 - Soumyadeep Ghosh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Vishal M. Patel:
Domain Adaptation for Visual Understanding. 1-15 - Issam H. Laradji, Reza Babanezhad:
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning. 17-31 - Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy:
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings. 33-49 - Parijat Dube, Bishwaranjan Bhattacharjee, Elisabeth Petit-Bois, Matthew Hill:
Improving Transferability of Deep Neural Networks. 51-64 - Xinyan Yu, Ya Zhang, Rui Zhang:
Cross-Modality Video Segment Retrieval with Ensemble Learning. 65-79 - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. 81-94 - Nagashri N. Lakshminarayana, Deen Dayal Mohan, Nishant Sankaran, Srirangaraj Setlur, Venu Govindaraju:
Multi-modal Conditional Feature Enhancement for Facial Action Unit Recognition. 95-109 - Anush Sankaran, Mayank Vatsa, Richa Singh:
Intuition Learning. 111-127 - Xiyu Kong, Qiping Zhou, Yunyu Lai, Muming Zhao, Chongyang Zhang:
Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating. 129-142
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