Yang Long

According to our database1, Yang Long authored at least 37 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes.
IEEE Trans. Neural Networks Learn. Syst., 2020

2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling.
IEEE Trans. Multim., 2020

A Joint Label Space for Generalized Zero-Shot Classification.
IEEE Trans. Image Process., 2020

Pseudo distribution on unseen classes for generalized zero shot learning.
Pattern Recognit. Lett., 2020

Deep transductive network for generalized zero shot learning.
Pattern Recognit., 2020

Learning discriminative domain-invariant prototypes for generalized zero shot learning.
Knowl. Based Syst., 2020

Semantic combined network for zero-shot scene parsing.
IET Image Process., 2020

Query Twice: Dual Mixture Attention Meta Learning for Video Summarization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Depth Embedded Recurrent Predictive Parsing Network for Video Scenes.
IEEE Trans. Intell. Transp. Syst., 2019

Triple Verification Network for Generalized Zero-Shot Learning.
IEEE Trans. Image Process., 2019

Zero-shot Hashing with orthogonal projection for image retrieval.
Pattern Recognit. Lett., 2019

Generic compact representation through visual-semantic ambiguity removal.
Pattern Recognit. Lett., 2019

Classification complexity assessment for hyper-parameter optimization.
Pattern Recognit. Lett., 2019

Zero-shot leaning and hashing with binary visual similes.
Multim. Tools Appl., 2019

Dual-verification network for zero-shot learning.
Inf. Sci., 2019

Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Adversarial unseen visual feature synthesis for Zero-shot Learning.
Neurocomputing, 2019

An improved reinforcement learning control strategy for batch processes.
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019

Optimization control of a fed-batch process using an improved reinforcement learning algorithm.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Order Matters: Shuffling Sequence Generation for Video Prediction.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

A General Transductive Regularizer for Zero-Shot Learning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval.
IEEE Trans. Image Process., 2018

Adaptive RGB Image Recognition by Visual-Depth Embedding.
IEEE Trans. Image Process., 2018

Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Face recognition with a small occluded training set using spatial and statistical pooling.
Inf. Sci., 2018

Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People.
CoRR, 2018

ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition.
CoRR, 2018

Towards Universal Representation for Unseen Action Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton.
Proceedings of the British Machine Vision Conference 2018, 2018

Adaptive Visual-Depth Fusion Transfer.
Proceedings of the Computer Vision - ACCV 2018, 2018

Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Towards Fine-Grained Open Zero-Shot Learning: Inferring Unseen Visual Features from Attributes.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Learning to Recognise Unseen Classes by A Few Similes.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Recognising occluded multi-view actions using local nearest neighbour embedding.
Comput. Vis. Image Underst., 2016

Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning.
Proceedings of the British Machine Vision Conference 2016, 2016


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