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Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images


Apr 18, 2022
Yanchao Yuan, Cancheng Li, Lu Xu, Ke Zhang, Yang Hua, Jicong Zhang

* 16 pages,6 figures 

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


Dec 30, 2021
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Minhas, Yang Hua, Jesus Martinez del Rincon, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck

* Submitted to ACM Computing Surveys 

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Fast and Accurate Scene Parsing via Bi-direction Alignment Networks


May 25, 2021
Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

* accepted by ICIP-2021 

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


Jun 21, 2020
Shiyang Yan, Yang Hua, Neil M. Robertson


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


Jun 08, 2020
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson

* Open discussion: we show it's fine for a learner (student) to be confident towards a correct low entropy status. Then more research attention should be paid to the definition of correct knowledge, as in genera we accept, human annotations used for learning supervision may be biased, subjective, and wrong 

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


May 17, 2020
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson

* Learning target revising, softer targets, entropy regularisation, EM algorithm. A target label distribution should define both the semantic class and similarity structure! 

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ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs


Apr 21, 2020
Shiyang Yan, Yang Hua, Neil Robertson


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Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation


Feb 07, 2020
Yihan Du, Yan Yan, Si Chen, Yang Hua


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Instance Cross Entropy for Deep Metric Learning


Nov 22, 2019
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Robertson


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


Nov 20, 2019
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil M. Robertson

* A Set-based Person Re-identification Baseline: Simple Average Fusion of Global Spatial Representations, without temporal information, without parts/poses/attributes information 

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


May 27, 2019
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Robertson

* Question: What training examples should be focused and how much more should they be emphasised when training DNNs under label noise? Answer: When noise rate is higher, we can improve a model's robustness by focusing on relatively less difficult examples 

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Improving MAE against CCE under Label Noise


Apr 19, 2019
Xinshao Wang, Elyor Kodirov, Yang Hua, Neil M. Robertson

* Mean Absolute Error, Cross Entropy, Data fitting(Overfitting, Underfitting), Noise Robustness, Label Noise 

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Ranked List Loss for Deep Metric Learning


Apr 16, 2019
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil M. Robertson

* CVPR19, Deep Metric Learning/Feature Embedding, Learning Representations, Image Retrieval/Clustering 

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GAN-based Pose-aware Regulation for Video-based Person Re-identification


Mar 27, 2019
Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil M. Robertson


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


Nov 22, 2018
Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee, Neil Robertson

* Accepted at IEEE WACV 2019 

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


Nov 04, 2018
Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. Robertson

* Deep Metric Learning, Person Re-identification (AAAI 2019) 

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Online Object Tracking with Proposal Selection


Sep 30, 2015
Yang Hua, Karteek Alahari, Cordelia Schmid

* ICCV 2015 

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