Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Vision, Learning and Control
School of Electronics and Computer Science > Vision, Learning and Control" and Year is 2023
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Number of items: 47.
Type: Editorial
| 2023
| Item availability restricted.
Type: Book Section
| 2023
| Springer Nature
| Item availability restricted.
Spatial audio reconstruction for VR applications using a combined method based on SIRR and RSAO approaches - Atiyeh Alinaghi, Luca Remaggi and Hansung Kim
Type: Conference or Workshop Item
| 2023
| IEEE
| Item not available on this server.
Using facial attractiveness as a soft biometric trait to enhance face recognition performance - Moneera Habeeb Alnamnakani, Sasan Mahmoodi and M.S. Nixon
Type: Book Section
| 2023
| Springer Nature
| Item not available on this server.
Real-time 3D multi-person pose estimation using an omnidirectional camera and mmWave radars - Aarti Amin, Alberto Tamajo, Isaac Klugman, Emil Stoev, Timothy Fisho, Hwasup Lim and Hansung Kim
Type: Conference or Workshop Item
| 2023
| IEEE
| Item availability restricted.
An overview of SaT segmentation methodology and its applications in image processing - Xiaohao Cai, Raymond Chan and Tieyong Zeng
Type: Book Section
| 2023
| Springer Cham
| Item not available on this server.
Fat b-jet analyses using old and new clustering algorithms in new Higgs boson searches at the LHC - A. Chakraborty, S. Dasmahapatra, H.A. Day-Hall, B. Ford, S. Jain and S. Moretti
Type: Article
| 2023
Type: Conference or Workshop Item
| 2023
| IEEE
| Item availability restricted.
Exploration of Decision Sub-Network Architectures for FPGA-based Dynamic DNNs - Anastasios Dimitriou, Mingyu Hu, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2023
Type: Dataset
| 2023
| University of Southampton
Type: Dataset
| 2023
| University of Southampton
Practical sketching algorithms for low-rank tucker approximation of large tensors - Wandi Dong, Gaohang Yu, Liqun Qi and Xiaohao Cai
Type: Article
| 2023
Robust Bayesian attention belief network for radar work mode recognition - Mingyang Du, Ping Zhong, Xiaohao Cai, Daping Bi and Aiqi Jing
Type: Article
| 2023
| Item availability restricted.
Extending scene-to-patch models: Multi-resolution multiple instance learning for Earth observation - Joseph Early, Ying-Jung Chen Deweese, Christine Evers and Sarvapali Ramchurn
Type: Article
| 2023
Optimising 2D pose representations: improving accuracy, stability and generalisability within unsupervised 2D-3D human pose estimation - Peter Hardy, Srinandan Dasmahapatra and Hansung Kim
Type: Conference or Workshop Item
| 2023
| Association for Computing Machinery
| Item not available on this server.
Dense material segmentation with context-aware network - Yuwen Heng, Yihong Wu, Srinandan Dasmahapatra and Hansung Kim
Type: Book Section
| 2023
| Springer Cham
| Item not available on this server.
Using computer vision to identify limpets from their shells: a case study using four species from the Baja California peninsula - Jack Daniel Hollister, Xiaohao Cai, Tammy Horton, Bemjamin Price, Karolina Magdalena Zarzyczny and Phillip Fenberg
Type: Article
| 2023
FedTM: Memory and Communication Efficient Federated Learning with Tsetlin Machine - Shannon How Shi Qi, Jagmohan Chauhan, Geoff V. Merrett and Jonathan Hare
Type: Conference or Workshop Item
| 2023
Type: Dataset
| 2023
| University of Southampton
Point-to-point iterative learning control with quantised input signal and actuator faults - Yande Huang, Hongfeng Tao, Yiyang Chen, Eric Rogers and Wojciech Paszke
Type: Article
| 2023
Real-time omnidirectional 3D multi-person human pose estimation with occlusion handling - Pawel Knap, Peter Hardy, Alberto Tamajo, Hwasup Lim and Hansung Kim
Type: Conference or Workshop Item
| 2023
Inexact higher-order proximal algorithms for tensor factorization - Valentin Leplat, Anh-Huy Phan and Andersen Ang
Type: Conference or Workshop Item
| 2023
| IEEE
Neural lad: a neural latent dynamics framework for times series modeling - Ting Li, Jianguo Li and Zhanxing Zhu
Type: Conference or Workshop Item
| 2023
| Item not available on this server.
A sphere region tracking control scheme for underwater vehicles - Xing Liu, Mingjun Zhang, Zhenzhong Chu and Eric Rogers
Type: Article
| 2023
Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors - Shengyu Lu, Nicholas R. Fuggle and Leo D. Westbury
Type: Article
| 2023
Implicit bias of (stochastic) gradient descent for rank-1 linear neural network - Bochen Lyu and Zhanxing Zhu
Type: Conference or Workshop Item
| 2023
| Neural Information Processing Systems Foundation
| Item not available on this server.
Proximal nested sampling with data-driven priors for physical scientists - Jason D. McEwen, Tobías I. Liaudat, Matthew A. Price, Xiaohao Cai and Marcelo Pereyra
Type: Article
| 2023
A novel explainable yield forecasting methodology using deep learning - Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan and Georgios Sermpinis
Type: Conference or Workshop Item
| 2023
| Item not available on this server.
Iterative Learning Control of Discrete Systems with Actuator Backlash using a Weighted Sum of Previous Trial Control Signals - Pavel Pakshin, Julia Emelianova, Eric Rogers and Krzysztof Gałkowski
Type: Article
| 2023
Flattening the curve through reinforcement learning driven test and trace policies - Andrei Rusu, Kate Farrahi and Mahesan Niranjan
Type: Conference or Workshop Item
| 2023
| Springer Cham
EpiCURB: Learning to Derive Epidemic Control Policies - Andrei C. Rusu, Katayoun Farrahi and Mahesan Niranjan
Type: Special issue
| 2023
Type: Dataset
| 2023
| University of Southampton
Enabling ImageNet-scale deep learning on MCUs for accurate and efficient inference - Sulaiman Sadiq, Jonathon Hare, Simon Craske, Partha Maji and Geoff Merrett
Type: Article
| 2023
Automatic veins analysis of susceptibility weighted image in hypoxic-ischaemic encephalopathy - Zhen Tang, Sasan Mahmoodi, Angela Darekar and Brigitte Vollmer
Type: Article
| 2023
Anti-windup compensation for a class of iterative learning control systems subject to actuator saturation - Matthew Turner, Eric Rogers and Jorge Sofrony
Type: Conference or Workshop Item
| 2023
Sinogram inpainting with Generative Adversarial Networks and shape priors - Emilien Marius Mael Valat, Kate Farrahi and Thomas Blumensath
Type: Article
| 2023
Cascade learning localises discriminant features in visual scene classification - Junwen Wang and Katayoun Farrahi
Type: UNSPECIFIED
| 2023
| arXiv
Disturbance observer-based repetitive control system with nonminimal state-space realization and experimental evaluation - Liuping Wang, Christopher T. Freeman, Eric Rogers and Peter Young
Type: Article
| 2023
Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study - Leo Westbury, Nicholas Fuggle, Diogo Pereira, Sasan Mahmoodi, Mahesan Niranjan and Elaine Dennison
Type: Article
| 2023
Depth estimation for a single omnidirectional image with reversed-gradient warming-up thresholds discriminator - Yihong Wu, Yuwen Heng, Mahesan Niranjan and Hansung Kim
Type: Conference or Workshop Item
| 2023
| IEEE
| Item not available on this server.
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer - Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu and Dejing Dou
Type: Article
| 2023
Model-guided learning for wind farm power optimization - Zhiwei Xu, Bing Chu, Hua Geng, Xiaohong Nian and Chenghui Zhang
Type: Article
| 2023
Dynamic DNNs meet runtime resource management for efficient heterogeneous computing - Lei Xun, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2023
ADS_UNet: A Nested UNet for Histopathology Image Segmentation - Yilong Yang, Srinandan Dasmahapatra and Sasan Mahmoodi
Type: Article
| 2023
Rotation-scale equivariant steerable filters - Yilong Yang, Srinandan Dasmahapatra and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2023
An annealing mechanism for adversarial training acceleration - Nanyang Ye, Qianxiao Li, Xiao Yun Zhou and Zhanxing Zhu
Type: Article
| 2023
| Item not available on this server.
MonoFlow: rethinking divergence GANs via the perspective of differential equations - Mingxuan Yi, Zhanxing Zhu and Song Liu
Type: Conference or Workshop Item
| 2023
| Association for Computing Machinery
| Item not available on this server.