Yang Long
Yang Long
Department of Computer Science, Durham University
Zweryfikowany adres z ieee.org - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Y Long, L Liu, L Shao, F Shen, G Ding, J Han
Computer Vision and Pattern Recognition, 2017
1192017
Zero-shot learning using synthesised unseen visual data with diffusion regularisation
Y Long, L Liu, F Shen, L Shao, X Li
IEEE transactions on pattern analysis and machine intelligence 40 (10), 2498 …, 2017
732017
Triple verification network for generalized zero-shot learning
H Zhang, Y Long, Y Guan, L Shao
IEEE Transactions on Image Processing 28 (1), 506-517, 2018
572018
Towards Universal Representation for Unseen Action Recognition
Y Zhu, Y Long, Y Guan, S Newsam, L Shao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
562018
Unsupervised deep hashing with pseudo labels for scalable image retrieval
H Zhang, L Liu, Y Long, L Shao
IEEE Transactions on Image Processing 27 (4), 1626-1638, 2017
532017
Adversarial unseen visual feature synthesis for zero-shot learning
H Zhang, Y Long, L Liu, L Shao
Neurocomputing 329, 12-20, 2019
352019
Face recognition with a small occluded training set using spatial and statistical pooling
Y Long, F Zhu, L Shao, J Han
Information Sciences 430, 634-644, 2018
342018
Zero-shot hashing with orthogonal projection for image retrieval
H Zhang, Y Long, L Shao
Pattern Recognition Letters 117, 201-209, 2019
242019
Attribute embedding with visual-semantic ambiguity removal for zero-shot learning
Y Long, L Liu, L Shao
BMVC, 2016
232016
Dual-verification network for zero-shot learning
H Zhang, Y Long, W Yang, L Shao
Information Sciences 470, 43-57, 2019
222019
Describing unseen classes by exemplars: Zero-shot learning using grouped simile ensemble
Y Long, L Shao
2017 IEEE winter conference on applications of computer vision (WACV), 907-915, 2017
222017
Towards affordable semantic searching: Zero-shot retrieval via dominant attributes
Y Long, L Liu, Y Shen, L Shao
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
212018
Towards reliable, automated general movement assessment for perinatal stroke screening in infants using wearable accelerometers
Y Gao, Y Long, Y Guan, A Basu, J Baggaley, T Ploetz
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
202019
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
S Bond-Taylor, A Leach, Y Long, CG Willcocks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
182021
Learning to recognise unseen classes by a few similes
Y Long, L Shao
Proceedings of the 25th ACM international conference on Multimedia, 636-644, 2017
182017
Towards fine-grained open zero-shot learning: Inferring unseen visual features from attributes
Y Long, L Liu, L Shao
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 944-952, 2017
162017
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Y Huang, Y Long, L Wang
AAAI, 2019
152019
Deep transductive network for generalized zero shot learning
H Zhang, L Liu, Y Long, Z Zhang, L Shao
Pattern Recognition 105, 107370, 2020
142020
Apparel-based deep learning system design for apparel style recommendation
C Guan, S Qin, Y Long
International Journal of Clothing Science and Technology, https://doi.org/10 …, 2019
122019
A probabilistic zero-shot learning method via latent nonnegative prototype synthesis of unseen classes
H Zhang, H Mao, Y Long, W Yang, L Shao
IEEE transactions on neural networks and learning systems 31 (7), 2361-2375, 2019
112019
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