Yang Hua

According to our database, Yang Hua authored at least 99 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hierarchical Attention-Enhanced Correlation Refinement for Robust Visual Tracking.

Si Chen, Rui Xu, Yan Yan, Yang Hua, Da-Han Wang, Shunzhi Zhu

IEEE Trans. Intell. Transp. Syst., July, 2025

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs.

Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang

CoRR, June, 2025

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.

Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang

CoRR, June, 2025

DHLA: Dynamic Hybrid Label Assignment for End-to-End Object Detection.

Zhiliang Hu, Si Chen, Yang Hua, Da-Han Wang, Shunzhi Zhu, Yan Yan

IEEE Trans. Circuits Syst. Video Technol., February, 2025

THOR: A Generic Energy Estimation Approach for On-Device Training.

Jiaru Zhang, Zesong Wang, Hao Wang, Tao Song, Huai-an Su, Rui Chen, Yang Hua, Xiangwei Zhou, Ruhui Ma, Miao Pan, Haibing Guan

CoRR, January, 2025

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding.

Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan

CoRR, January, 2025

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling.

Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning.

Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

OFL-W3: A One-shot Federated Learning System on Web 3.0.

Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song

Proc. VLDB Endow., August, 2024

Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System.

Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy.

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan

IEEE Trans. Dependable Secur. Comput., 2024

Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition.

Yang Xu, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang

IEEE Trans. Circuits Syst. Video Technol., 2024

FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning.

Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang

CoRR, 2024

Poisoning with A Pill: Circumventing Detection in Federated Learning.

Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang

CoRR, 2024

Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks.

Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan

CoRR, 2024

Improving the Fairness of the Min-Max Game in GANs Training.

Zhaoyu Zhang, Yang Hua, Hui Wang, Seán F. McLoone

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation.

Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection.

Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling.

Hui Wang, Josef Kittler, Mark J. F. Gales, Rob Cooper, Maurice D. Mulvenna, Wing W. Y. Ng, Yang Hua, Richard Gault, Abbas Haider, Guanfeng Wu

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers.

Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks.

Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan

Proceedings of the Computer Vision - ECCV 2024, 2024

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning.

Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion.

Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning.

Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing.

Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Discrepancy-Guided Domain-Adaptive Data Augmentation.

Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson

IEEE Trans. Neural Networks Learn. Syst., August, 2023

<i>WH</i>²<i>D</i>²<i>N</i>²: Distributed AI-enabled OK-ASN Service for Web of Things.

Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation.

Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.

JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck

ACM Comput. Surv., 2023

PFLlib: Personalized Federated Learning Algorithm Library.

Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao

CoRR, 2023

Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs.

Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan

CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.

Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-supervised Multi-object Tracking with Cycle-Consistency.

Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.

Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the International Conference on Machine Learning, 2023

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spatio-temporal Prompting Network for Robust Video Feature Extraction.

Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion.

Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the IEEE International Conference on Acoustics, 2023

Flowreg: Latent Space Regularization Using Normalizing Flow For Limited Samples Learning.

Chi Wang, Jian Gao, Yang Hua, Hui Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-Domain Learning with Normalizing Flow.

Chi Wang, Jian Gao, Yang Hua, Hui Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Information Bound and Its Applications in Bayesian Neural Networks.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks.

Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan

IEEE Trans. Big Data, 2022

Ranked List Loss for Deep Metric Learning.

Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State.

Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson

CoRR, 2022

Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition.

Andrew R. Colligan, Trevor T. Robinson, Declan C. Nolan, Yang Hua, Weijuan Cao

Comput. Aided Des., 2022

TDViT: Temporal Dilated Video Transformer for Dense Video Tasks.

Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson

Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency.

Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Bayesian Neural Networks by Adversarial Sampling.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data.

Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan

Trans. Data Sci., 2021

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification.

Xiaokang Zhang, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang

IEEE Trans. Circuits Syst. Video Technol., 2021

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks.

Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

IEEE Netw., 2021

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.

JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck

CoRR, 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.

Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks.

Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Self-Supervised Vessel Segmentation via Adversarial Learning.

Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking.

Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization.

Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks.

Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Siren: Byzantine-robust Federated Learning via Proactive Alarming.

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Temporal Meta-Adaptor for Video Object Detection.

Chi Wang, Yang Hua, Zheng Lu, Jian Gao, Neil Robertson

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Positional Mask Attention for Video Sequence Modeling.

Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection.

Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Video salient object detection via spatiotemporal attention neural networks.

Yi Tang, Wenbin Zou, Yang Hua, Zhi Jin, Xia Li

Neurocomputing, 2020

Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation.

Yihan Du, Yan Yan, Si Chen, Yang Hua

Neurocomputing, 2020

Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation.

Shiyang Yan, Yang Hua, Neil Martin Robertson

CoRR, 2020

ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise.

Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson

CoRR, 2020

ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs.

Shiyang Yan, Yang Hua, Neil Robertson

CoRR, 2020

An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning.

Lei Zhang, Yang Hua, Simon L. Cotton, Seong Ki Yoo, Claudio R. C. M. da Silva, William G. Scanlon

IEEE Access, 2020

VTT: Long-term Visual Tracking with Transformers.

Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN.

Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil M. Robertson

Proceedings of the IEEE International Conference on Image Processing, 2020

Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning.

Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil Martin Robertson

Proceedings of the Computer Vision - ECCV 2020, 2020

Reinforcing Neural Network Stability with Attractor Dynamics.

Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Deep Relations to Promote Saliency Detection.

Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks.

Yi Tang, Wenbin Zou, Zhi Jin, Yuhuan Chen, Yang Hua, Xia Li

IEEE Trans. Circuits Syst. Video Technol., 2019

Instance Cross Entropy for Deep Metric Learning.

Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson

CoRR, 2019

ID-aware Quality for Set-based Person Re-identification.

Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson

CoRR, 2019

Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels.

Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson

CoRR, 2019

Improving MAE against CCE under Label Noise.

Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson

CoRR, 2019

IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network.

Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification.

Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks.

Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Object Guided External Memory Network for Video Object Detection.

Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Ranked List Loss for Deep Metric Learning.

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward.

Shiyang Yan, Yang Hua, Neil Robertson

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Deep Metric Learning by Online Soft Mining and Class-Aware Attention.

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Cross-View Discriminative Feature Learning for Person Re-Identification.

Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson

IEEE Trans. Image Process., 2018

Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos.

Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Object-Adaptive LSTM Network for Visual Tracking.

Yihan Du, Yan Yan, Si Chen, Yang Hua, Hanzi Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.

Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images.

Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, Haibing Guan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks.

Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Towards robust visual object tracking : proposal selection and occlusion reasoning. (Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions).

Yang Hua

PhD thesis, 2016

2015

Contextualizing Object Detection and Classification.

Qiang Chen, Zheng Song, Jian Dong, ZhongYang Huang, Yang Hua, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Online Object Tracking with Proposal Selection.

Yang Hua, Karteek Alahari, Cordelia Schmid

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Occlusion and Motion Reasoning for Long-Term Tracking.

Yang Hua, Karteek Alahari, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

VideoPuzzle: Descriptive One-Shot Video Composition.

Qiang Chen, Meng Wang, ZhongYang Huang, Yang Hua, Zheng Song, Shuicheng Yan

IEEE Trans. Multim., 2013

2012

Hierarchical matching with side information for image classification.

Qiang Chen, Zheng Song, Yang Hua, ZhongYang Huang, Shuicheng Yan

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Contextualizing object detection and classification.

Zheng Song, Qiang Chen, ZhongYang Huang, Yang Hua, Shuicheng Yan

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011