Yang Long
Yang Long
Department of Computer Science, Durham University
Verified email at ieee.org - Homepage
Cited by
Cited by
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
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
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
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
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
Adversarial unseen visual feature synthesis for zero-shot learning
H Zhang, Y Long, L Liu, L Shao
Neurocomputing 329, 12-20, 2019
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
Attribute embedding with visual-semantic ambiguity removal for zero-shot learning
Y Long, L Liu, L Shao
BMVC, 2016
Zero-shot hashing with orthogonal projection for image retrieval
H Zhang, Y Long, L Shao
Pattern Recognition Letters 117, 201-209, 2019
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
Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes.
Y Long, L Liu, Y Shen, L Shao, J Song
AAAI, 7210-7217, 2018
Dual-verification network for zero-shot learning
H Zhang, Y Long, W Yang, L Shao
Information Sciences 470, 43-57, 2019
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
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
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Y Huang, Y Long, L Wang
AAAI, 2019
Recognising occluded multi-view actions using local nearest neighbour embedding
Y Long, F Zhu, L Shao
Computer Vision and Image Understanding 144, 36-45, 2016
Adaptive RGB image recognition by visual-depth embedding
Z Cai, Y Long, L Shao
IEEE Transactions on Image Processing 27 (5), 2471-2483, 2018
Zero-shot leaning and hashing with binary visual similes
H Zhang, Y Long, L Shao
Multimedia Tools and Applications 78 (17), 24147-24165, 2019
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
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, 2019
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