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ORCIDYang Hua 0001
Person information
- affiliation (since 2017): Queen's University Belfast, UK
- affiliation (2016 - 2017): AnyVision, Belfast, UK
- affiliation (PhD 2016): Grenoble Alpes University, France
- affiliation (2008 - 2012): Panasonic Singapore Laboratories, Singapore
Other persons with the same name
- Yang Hua — disambiguation page
- Yang Hua 0002
![[0000-0003-1485-4632]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1485-4632")
— Jiangnan University, School of Artificial Intelligence and Computer Science, Wuxi, China - Yang Hua 0003 — Chinese Academy of Science, Institute of Remote Sensing Applications, Beijing, China
- Yang Hua 0004 — Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
- Yang Hua 0005 — Beijing SWORD Electric Industrial Company Ltd., China (and 1 more)
- Yang Hua 0006 — Capital Medical University, XuanWu Hospital, Department of Vascular Ultrasonography, Beijing, China
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2020 – today
- 2025
[j22]Zhiliang Hu, Si Chen, Yang Hua, Da-Han Wang, Shunzhi Zhu, Yan Yan:
DHLA: Dynamic Hybrid Label Assignment for End-to-End Object Detection. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1055-1069 (2025)- [i39]Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan:
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. CoRR abs/2501.00216 (2025) - [i38]Jiaru Zhang, Zesong Wang, Hao Wang, Tao Song, Huai-an Su, Rui Chen, Yang Hua, Xiangwei Zhou, Ruhui Ma, Miao Pan, Haibing Guan:
THOR: A Generic Energy Estimation Approach for On-Device Training. CoRR abs/2501.16397 (2025) - [i37]Jiaru Zhang, Rui Ding, Qiang Fu, Bojun Huang, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang:
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning. CoRR abs/2502.10883 (2025) - 2024
- [j21]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. Proc. VLDB Endow. 17(12): 4461-4464 (2024) - [j20]Yang Xu, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang:
Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition. IEEE Trans. Circuits Syst. Video Technol. 34(7): 5693-5703 (2024) - [j19]Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan:
Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. IEEE Trans. Dependable Secur. Comput. 21(5): 4843-4860 (2024) - [j18]Hongjian Shi, Hao Wang, Ruhui Ma, Yang Hua, Tao Song, Honghao Gao, Haibing Guan:
Robust Searching-Based Gradient Collaborative Management in Intelligent Transportation System. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 34:1-34:23 (2024) - [c55]Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang:
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. AAAI 2024: 16539-16547 - [c54]Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao:
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. AAAI 2024: 16768-16776 - [c53]Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan:
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CVPR 2024: 10812-10821 - [c52]Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao:
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. CVPR 2024: 12109-12119 - [c51]Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan:
SKYMASK: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks. ECCV (19) 2024: 291-308 - [c50]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR 2024 - [c49]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:
MVRMLM 2024: Multimodal Video Retrieval and Multimodal Language Modelling. ICMR 2024: 1345-1346 - [c48]Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone:
Improving the Training of the GANs with Limited Data via Dual Adaptive Noise Injection. ACM Multimedia 2024: 6725-6734 - [c47]Zhaoyu Zhang, Yang Hua, Hui Wang, Seán F. McLoone:
Improving the Fairness of the Min-Max Game in GANs Training. WACV 2024: 2898-2907 - [c46]Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán F. McLoone:
Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation. WACV 2024: 5400-5409 - [i36]Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao:
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. CoRR abs/2401.03230 (2024) - [i35]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. CoRR abs/2401.09923 (2024) - [i34]Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua:
Spatio-temporal Prompting Network for Robust Video Feature Extraction. CoRR abs/2402.02574 (2024) - [i33]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
Efficient One-stage Video Object Detection by Exploiting Temporal Consistency. CoRR abs/2402.09241 (2024) - [i32]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. CoRR abs/2402.09257 (2024) - [i31]Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan:
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion. CoRR abs/2403.11162 (2024) - [i30]Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao:
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. CoRR abs/2403.15760 (2024) - [i29]Xiaoyu Wu, Jiaru Zhang, Yang Hua, Bohan Lyu, Hao Wang, Tao Song, Haibing Guan:
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks. CoRR abs/2405.19931 (2024) - [i28]Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang:
Poisoning with A Pill: Circumventing Detection in Federated Learning. CoRR abs/2407.15389 (2024) - [i27]Linshan Jiang, Moming Duan, Bingsheng He, Yulin Sun, Peishen Yan, Yang Hua, Tao Song:
OFL-W3: A One-shot Federated Learning System on Web 3.0. CoRR abs/2408.07096 (2024) - [i26]Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang:
FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning. CoRR abs/2410.06490 (2024) - 2023
- [j17]JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck:
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. ACM Comput. Surv. 55(13s): 276:1-276:36 (2023) - [j16]Kun Liang, Ruhui Ma, Yang Hua, Hao Wang, Ningxin Hu, Tao Song, Honghao Gao, Haibing Guan:
WH2D2N2: Distributed AI-enabled OK-ASN Service for Web of Things. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 145:1-145:16 (2023) - [j15]Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan:
Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2494-2505 (2023) - [j14]Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson:
Discrepancy-Guided Domain-Adaptive Data Augmentation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5064-5075 (2023) - [c45]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI 2023: 11237-11244 - [c44]Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Information Bound and Its Applications in Bayesian Neural Networks. ECAI 2023: 3010-3017 - [c43]Chi Wang, Jian Gao, Yang Hua, Hui Wang:
Cross-Domain Learning with Normalizing Flow. ICASSP 2023: 1-5 - [c42]Chi Wang, Jian Gao, Yang Hua, Hui Wang:
Flowreg: Latent Space Regularization Using Normalizing Flow For Limited Samples Learning. ICASSP 2023: 1-5 - [c41]Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. ICASSP 2023: 1-5 - [c40]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan:
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. ICCV 2023: 5018-5028 - [c39]Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua:
Spatio-temporal Prompting Network for Robust Video Feature Extraction. ICCV 2023: 13541-13551 - [c38]Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML 2023: 20763-20786 - [c37]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD 2023: 3249-3261 - [c36]Yuanhang Yin, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Self-supervised Multi-object Tracking with Cycle-Consistency. MMM (2) 2023: 483-495 - [c35]Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Eliminating Domain Bias for Federated Learning in Representation Space. NeurIPS 2023 - [i25]Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. CoRR abs/2302.04578 (2023) - [i24]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. CoRR abs/2307.01217 (2023) - [i23]Zinuo Cai, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Haibing Guan:
Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs. CoRR abs/2307.11339 (2023) - [i22]Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan:
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR abs/2308.04466 (2023) - [i21]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan:
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. CoRR abs/2308.10279 (2023) - [i20]Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Eliminating Domain Bias for Federated Learning in Representation Space. CoRR abs/2311.14975 (2023) - [i19]Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao:
PFLlib: Personalized Federated Learning Algorithm Library. CoRR abs/2312.04992 (2023) - [i18]Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad R. Haghighat, Haibing Guan:
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks. CoRR abs/2312.12484 (2023) - 2022
- [j13]Andrew R. Colligan, Trevor T. Robinson, Declan C. Nolan, Yang Hua, Weijuan Cao:
Hierarchical CADNet: Learning from B-Reps for Machining Feature Recognition. Comput. Aided Des. 147: 103226 (2022) - [j12]Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson:
Ranked List Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5414-5429 (2022) - [j11]Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan:
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. IEEE Trans. Big Data 8(3): 644-657 (2022) - [c34]Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Improving Bayesian Neural Networks by Adversarial Sampling. AAAI 2022: 10110-10117 - [c33]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency. ECCV (35) 2022: 1-16 - [c32]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks. ECCV (35) 2022: 285-301 - [i17]Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. CoRR abs/2207.00118 (2022) - [i16]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. CoRR abs/2212.01197 (2022) - 2021
- [j10]Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
SpaceDML: Enabling Distributed Machine Learning in Space Information Networks. IEEE Netw. 35(4): 82-87 (2021) - [j9]Xiaokang Zhang, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang:
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2764-2778 (2021) - [j8]Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan:
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. Trans. Data Sci. 2(4): 32:1-32:15 (2021) - [c31]Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. AAAI 2021: 2620-2627 - [c30]Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Positional Mask Attention for Video Sequence Modeling. CISP-BMEI 2021: 1-5 - [c29]Chi Wang, Yang Hua, Zheng Lu, Jian Gao, Neil Robertson:
Temporal Meta-Adaptor for Video Object Detection. BMVC 2021: 221 - [c28]Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan:
Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC 2021: 47-60 - [c27]Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. CVPR 2021: 752-761 - [c26]Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan:
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. CVPR 2021: 3815-3824 - [c25]Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. ICASSP 2021: 2205-2209 - [c24]Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan:
Self-Supervised Vessel Segmentation via Adversarial Learning. ICCV 2021: 7516-7525 - [c23]Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Fast and Accurate Scene Parsing via Bi-Direction Alignment Networks. ICIP 2021: 2508-2512 - [c22]Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan:
Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI 2021: 599-605 - [i15]Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan:
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks. CoRR abs/2105.11651 (2021) - [i14]JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck:
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. CoRR abs/2112.15131 (2021) - 2020
- [j7]Lei Zhang, Yang Hua, Simon L. Cotton, Seong Ki Yoo, Claudio R. C. M. da Silva, William G. Scanlon:
An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning. IEEE Access 8: 14928-14943 (2020) - [j6]Yi Tang, Wenbin Zou, Yang Hua, Zhi Jin, Xia Li:
Video salient object detection via spatiotemporal attention neural networks. Neurocomputing 377: 27-37 (2020) - [j5]Yihan Du, Yan Yan, Si Chen, Yang Hua:
Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation. Neurocomputing 384: 67-83 (2020) - [c21]Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Reinforcing Neural Network Stability with Attractor Dynamics. AAAI 2020: 3765-3772 - [c20]Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv:
Learning Deep Relations to Promote Saliency Detection. AAAI 2020: 10510-10517 - [c19]Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil Martin Robertson:
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning. ECCV (23) 2020: 587-605 - [c18]Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil M. Robertson:
Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN. ICIP 2020: 2146-2150 - [c17]Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
VTT: Long-term Visual Tracking with Transformers. ICPR 2020: 9585-9592 - [i13]Yihan Du, Yan Yan, Si Chen, Yang Hua:
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation. CoRR abs/2002.02598 (2020) - [i12]Shiyang Yan, Yang Hua, Neil Robertson:
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs. CoRR abs/2004.10258 (2020) - [i11]Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise. CoRR abs/2005.03788 (2020) - [i10]Shiyang Yan, Yang Hua, Neil Martin Robertson:
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation. CoRR abs/2006.11714 (2020)
2010 – 2019
- 2019
- [j4]Yi Tang, Wenbin Zou, Zhi Jin, Yuhuan Chen, Yang Hua, Xia Li:
Weakly Supervised Salient Object Detection With Spatiotemporal Cascade Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1973-1984 (2019) - [c16]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. AAAI 2019: 5361-5368 - [c15]Shiyang Yan, Yang Hua, Neil Robertson:
SC-RANK: Improving Convolutional Image Captioning with Self-Critical Learning and Ranking Metric-based Reward. BMVC 2019: 85 - [c14]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson:
Ranked List Loss for Deep Metric Learning. CVPR 2019: 5207-5216 - [c13]Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Object Guided External Memory Network for Video Object Detection. ICCV 2019: 6677-6686 - [c12]Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. ACM Multimedia 2019: 2296-2304 - [c11]Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. WACV 2019: 11-20 - [c10]Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. WACV 2019: 1175-1184 - [i9]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson:
Ranked List Loss for Deep Metric Learning. CoRR abs/1903.03238 (2019) - [i8]Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-based Pose-aware Regulation for Video-based Person Re-identification. CoRR abs/1903.11552 (2019) - [i7]Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
Improving MAE against CCE under Label Noise. CoRR abs/1903.12141 (2019) - [i6]Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels. CoRR abs/1905.11233 (2019) - [i5]Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
ID-aware Quality for Set-based Person Re-identification. CoRR abs/1911.09143 (2019) - [i4]Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
Instance Cross Entropy for Deep Metric Learning. CoRR abs/1911.09976 (2019) - 2018
- [j3]Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
Cross-View Discriminative Feature Learning for Person Re-Identification. IEEE Trans. Image Process. 27(11): 5338-5349 (2018) - [c9]Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, Haibing Guan:
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. BIBM 2018: 532-539 - [c8]Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) 2018: 106-123 - [c7]Yihan Du, Yan Yan, Si Chen, Yang Hua, Hanzi Wang:
Object-Adaptive LSTM Network for Visual Tracking. ICPR 2018: 1719-1724 - [c6]Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan:
Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. ACM Multimedia 2018: 941-949 - [i3]Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil Martin Robertson:
Deep Metric Learning by Online Soft Mining and Class-Aware Attention. CoRR abs/1811.01459 (2018) - [i2]Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Martin Robertson:
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network. CoRR abs/1811.09134 (2018) - 2017
- [c5]Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. ICCV 2017: 3764-3773 - 2016
- [b1]Yang Hua:
Towards robust visual object tracking : proposal selection and occlusion reasoning. (Vers un suivi robuste d'objets visuels : sélection de propositions et traitement des occlusions). Grenoble Alpes University, France, 2016 - 2015
- [j2]Qiang Chen, Zheng Song, Jian Dong, ZhongYang Huang, Yang Hua, Shuicheng Yan:
Contextualizing Object Detection and Classification. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 13-27 (2015) - [c4]Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. ICCV 2015: 3092-3100 - [i1]Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. CoRR abs/1509.09114 (2015) - 2014
- [c3]Yang Hua, Karteek Alahari, Cordelia Schmid:
Occlusion and Motion Reasoning for Long-Term Tracking. ECCV (6) 2014: 172-187 - 2013
- [j1]Qiang Chen, Meng Wang, ZhongYang Huang, Yang Hua, Zheng Song, Shuicheng Yan:
VideoPuzzle: Descriptive One-Shot Video Composition. IEEE Trans. Multim. 15(3): 521-534 (2013) - 2012
- [c2]Qiang Chen, Zheng Song, Yang Hua, ZhongYang Huang, Shuicheng Yan:
Hierarchical matching with side information for image classification. CVPR 2012: 3426-3433 - 2011
- [c1]Zheng Song, Qiang Chen, ZhongYang Huang, Yang Hua, Shuicheng Yan:
Contextualizing object detection and classification. CVPR 2011: 1585-1592
Coauthor Index
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-02 23:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
