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Outputs (663)

Validation of an Objective Method for the Qualitative and Quantitative Assessment of Binocular Accommodative Facility (2019)
Journal Article
Vera, J., Redondo, B., Molina, R., Koulieris, G., & Jiménez, R. (2020). Validation of an Objective Method for the Qualitative and Quantitative Assessment of Binocular Accommodative Facility. Current Eye Research, 45(5), 636-644. https://doi.org/10.1080/02713683.2019.1688837

Purpose: Assessing binocular accommodative facility (BAF) enables the evaluation of the interaction between the accommodative and vergence systems, which is relevant for the diagnosis of accommodative and binocular disorders. However, the tests used... Read More about Validation of an Objective Method for the Qualitative and Quantitative Assessment of Binocular Accommodative Facility.

Using theoretical ROC curves for analysing machine learning binary classifiers (2019)
Journal Article
Omar, L., & Ivrissimtzis, I. (2019). Using theoretical ROC curves for analysing machine learning binary classifiers. Pattern Recognition Letters, 128, 447-451. https://doi.org/10.1016/j.patrec.2019.10.004

Most binary classifiers work by processing the input to produce a scalar response and comparing it to a threshold value. The various measures of classifier performance assume, explicitly or implicitly, probability distributions Ps and Pn of the respo... Read More about Using theoretical ROC curves for analysing machine learning binary classifiers.

An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening (2019)
Journal Article
Wang, Q., Ismail, K., & Breckon, T. (2020). An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics, 28(1), 35-58. https://doi.org/10.3233/xst-190531

BACKGROUND: The screening of baggage using X-ray scanners is now routine in aviation security with automatic threat detection approaches, based on 3D X-ray computed tomography (CT) images, known as Automatic Threat Recognition (ATR) within the aviati... Read More about An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.

The intraocular pressure response to lower-body and upper-body isometric exercises is affected by the breathing pattern (2020)
Journal Article
Vera, J., Redondo, B., Perez-Castilla, A., Koulieris, G., Jiménez, R., & Garcia-Ramos, A. (2021). The intraocular pressure response to lower-body and upper-body isometric exercises is affected by the breathing pattern. European Journal of Sport Science, 21(6), 879-886. https://doi.org/10.1080/17461391.2020.1790670

We assessed the mediating role of the breathing pattern adopted during isometric exercise on the intraocular pressure (IOP) response in the back squat and biceps curl exercises. Twenty physically active young adults performed sets of 1-minute isometr... Read More about The intraocular pressure response to lower-body and upper-body isometric exercises is affected by the breathing pattern.

Intraocular Pressure Responses to Four Different Isometric Exercises in Men and Women (2020)
Journal Article
Vera, J., Redondo, B., Koulieris, G., Torrejon, A., Jiménez, R., & Garcia-Ramos, A. (2020). Intraocular Pressure Responses to Four Different Isometric Exercises in Men and Women. Optometry and Vision Science, 97(8), 648-653. https://doi.org/10.1097/opx.0000000000001545

SIGNIFICANCE: The performance of resistance exercise has evidenced to induce abrupt intraocular pressure (IOP) changes, which has been linked to the onset and progression of glaucoma. We found that four different isometric resistance exercises lead t... Read More about Intraocular Pressure Responses to Four Different Isometric Exercises in Men and Women.

A Color-Pair Based Approach for Accurate Color Harmony Estimation (2019)
Journal Article
Yang, B., Wei, T., Fang, X., Deng, Z., Li, F. W., Ling, Y., & Wang, X. (2019). A Color-Pair Based Approach for Accurate Color Harmony Estimation. Computer Graphics Forum, 38(7), 481-490. https://doi.org/10.1111/cgf.13854

Harmonious color combinations can stimulate positive user emotional responses. However, a widely open research question is: how can we establish a robust and accurate color harmony measure for the public and professional designers to identify the har... Read More about A Color-Pair Based Approach for Accurate Color Harmony Estimation.

Example-based Image Recoloring in Indoor Environment (2019)
Journal Article
Lin, X., Wang, X., Li, F. W., Li, J., Yang, B., Zhang, K., & Wei, T. (2020). Example-based Image Recoloring in Indoor Environment. Computer Animation and Virtual Worlds, 31(2), Article e1917. https://doi.org/10.1002/cav.1917

Color structure of a home scene image closely relates to the material properties of its local regions. Existing color migration methods typically fail to fully infer the correlation between the coloring of local home scene regions, leading to a local... Read More about Example-based Image Recoloring in Indoor Environment.

A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction (2020)
Journal Article
Men, Q., Ho, E. S., Shum, H. P., & Leung, H. (2021). A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction. IEEE Transactions on Circuits and Systems for Video Technology, 31(9), 3417-3432. https://doi.org/10.1109/tcsvt.2020.3038145

Recurrent neural network (RNN) has become popular for human motion prediction thanks to its ability to capture temporal dependencies. However, it has limited capacity in modeling the complex spatial relationship in the human skeletal structure. In th... Read More about A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction.

Triple Verification Network for Generalized Zero-Shot Learning (2018)
Journal Article
Zhang, H., Long, Y., Guan, Y., & Shao, L. (2019). Triple Verification Network for Generalized Zero-Shot Learning. IEEE Transactions on Image Processing, 28(1), 506-517. https://doi.org/10.1109/tip.2018.2869696

Conventional zero-shot learning approaches often suffer from severe performance degradation in the generalized zero-shot learning (GZSL) scenario, i.e., to recognize test images that are from both seen and unseen classes. This paper studies the Class... Read More about Triple Verification Network for Generalized Zero-Shot Learning.

Target‐driven cloud evolution using position‐based fluids (2020)
Journal Article
Zhang, Z., Li, Y., Yang, B., Li, F. W., & Liang, X. (2020). Target‐driven cloud evolution using position‐based fluids. Computer Animation and Virtual Worlds, 31(6), https://doi.org/10.1002/cav.1937

To effectively control particle‐based cloud evolution without imposing strict position constraints, we propose a novel method integrating a control force field and a phase transition control into the position‐based fluids (PBF) framework. To produce... Read More about Target‐driven cloud evolution using position‐based fluids.

DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays (2019)
Journal Article
Zhong, F., Koulieris, G., Drettakis, G., Banks, M. S., Chambe, M., Durand, F., & Mantiuk, R. (2019). DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays. ACM Transactions on Graphics, 38(6), Article 211. https://doi.org/10.1145/3355089.3356552

In stereoscopic displays, such as those used in VR/AR headsets, our eyes are presented with two different views. The disparity between the views is typically used to convey depth cues, but it could be also used to enhance image appearance. We devise... Read More about DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays.

No-reference synthetic image quality assessment with convolutional neural network and local image saliency (2019)
Journal Article
Wang, X., Liang, X., Yang, B., & Li, F. W. (2019). No-reference synthetic image quality assessment with convolutional neural network and local image saliency. Computational Visual Media, 5(2), 193-208. https://doi.org/10.1007/s41095-019-0131-6

Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based systems incorporate various distortions, particularly geometric distortions... Read More about No-reference synthetic image quality assessment with convolutional neural network and local image saliency.

Interaction patches for multi-character animation (2008)
Journal Article
Shum, H. P., Komura, T., Shiraishi, M., & Yamazaki, S. (2008). Interaction patches for multi-character animation. ACM Transactions on Graphics, 27(5), Article 114. https://doi.org/10.1145/1409060.1409067

We propose a data-driven approach to automatically generate a scene where tens to hundreds of characters densely interact with each other. During off-line processing, the close interactions between characters are precomputed by expanding a game tree,... Read More about Interaction patches for multi-character animation.

Interactive Formation Control in Complex Environments (2013)
Journal Article
Henry, J., Shum, H. P., & Komura, T. (2014). Interactive Formation Control in Complex Environments. IEEE Transactions on Visualization and Computer Graphics, 20(2), 211-222. https://doi.org/10.1109/tvcg.2013.116

The degrees of freedom of a crowd is much higher than that provided by a standard user input device. Typically, crowd-control systems require multiple passes to design crowd movements by specifying waypoints, and then defining character trajectories... Read More about Interactive Formation Control in Complex Environments.

Validation of an ergonomic assessment method using Kinect data in real workplace conditions (2016)
Journal Article
Plantard, P., Shum, H. P., Le Pierres, A.-S., & Multon, F. (2017). Validation of an ergonomic assessment method using Kinect data in real workplace conditions. Applied Ergonomics: Human Factors in Technology and Society, 65, 562-569. https://doi.org/10.1016/j.apergo.2016.10.015

Evaluating potential musculoskeletal disorders risks in real workstations is challenging as the environment is cluttered, which makes it difficult to accurately assess workers' postures. Being marker-free and calibration-free, Microsoft Kinect is a p... Read More about Validation of an ergonomic assessment method using Kinect data in real workplace conditions.

Action Recognition From Arbitrary Views Using Transferable Dictionary Learning (2018)
Journal Article
Zhang, J., Shum, H. P., Han, J., & Shao, L. (2018). Action Recognition From Arbitrary Views Using Transferable Dictionary Learning. IEEE Transactions on Image Processing, 27(10), 4709-4723. https://doi.org/10.1109/tip.2018.2836323

Human action recognition is crucial to many practical applications, ranging from human-computer interaction to video surveillance. Most approaches either recognize the human action from a fixed view or require the knowledge of view angle, which is us... Read More about Action Recognition From Arbitrary Views Using Transferable Dictionary Learning.