All Outputs (12)

Denoising Diffusion Probabilistic Models for Styled Walking Synthesis (2022)
Conference Proceeding
Findlay, E., Zhang, H., Chang, Z., & Shum, H. P. (2022). Denoising Diffusion Probabilistic Models for Styled Walking Synthesis. . https://doi.org/10.1145/3561975

Generating realistic motions for digital humans is time-consuming for many graphics applications. Data-driven motion synthesis approaches have seen solid progress in recent years through deep generative models. These results offer high-quality motion... Read More about Denoising Diffusion Probabilistic Models for Styled Walking Synthesis.

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery (2022)
Conference Proceeding
Organisciak, D., Poyser, M., Alsehaim, A., Hu, S., Isaac-Medina, B. K., Breckon, T. P., & Shum, H. P. (2022). UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery. . https://doi.org/10.5220/0010836600003124

As unmanned aerial vehicles (UAV) become more accessible with a growing range of applications, the risk of UAV disruption increases. Recent development in deep learning allows vision-based counter-UAV systems to detect and track UAVs with a single ca... Read More about UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery.

3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models (2022)
Conference Proceeding
Chang, Z., Koulieris, G. A., & Shum, H. P. (2022). 3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models. . https://doi.org/10.1145/3562939.3565632

A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection (2022)
Conference Proceeding
Zhu, M., Ho, E. S., & Shum, H. P. (2022). A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection. . https://doi.org/10.1109/smc53654.2022.9945149

Detecting human-object interactions is essential for comprehensive understanding of visual scenes. In particular, spatial connections between humans and objects are important cues for reasoning interactions. To this end, we propose a skeleton-aware g... Read More about A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection.

Towards Graph Representation Learning Based Surgical Workflow Anticipation (2022)
Conference Proceeding
Zhang, X., Al Moubayed, N., & Shum, H. P. (2022). Towards Graph Representation Learning Based Surgical Workflow Anticipation. . https://doi.org/10.1109/bhi56158.2022.9926801

Surgical workflow anticipation can give predictions on what steps to conduct or what instruments to use next, which is an essential part of the computer-assisted intervention system for surgery, e.g. workflow reasoning in robotic surgery. However, cu... Read More about Towards Graph Representation Learning Based Surgical Workflow Anticipation.

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip (2022)
Conference Proceeding
Chen, S., Atapour-Abarghouei, A., Kerby, J., Ho, E. S., Sainsbury, D. C., Butterworth, S., & Shum, H. P. (2022). A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. . https://doi.org/10.1109/bhi56158.2022.9926917

A Cleft lip is a congenital abnormality requiring surgical repair by a specialist. The surgeon must have extensive experience and theoretical knowledge to perform surgery, and Artificial Intelligence (AI) method has been proposed to guide surgeons in... Read More about A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.

Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos (2022)
Conference Proceeding
Qiao, T., Men, Q., Li, F. W., Kubotani, Y., Morishima, S., & Shum, H. P. (2022). Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos. . https://doi.org/10.1007/978-3-031-19772-7_28

Human-Object Interaction (HOI) recognition in videos is important for analysing human activity. Most existing work focusing on visual features usually suffer from occlusion in the real-world scenarios. Such a problem will be further complicated when... Read More about Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos.

Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding (2022)
Conference Proceeding
Li, R., Katsigiannis, S., & Shum, H. P. (2022). Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding. In 2022 IEEE International Conference on Image Processing (ICIP) Proceedings (2346-2350). https://doi.org/10.1109/icip46576.2022.9897644

Trajectory prediction of road users in real-world scenarios is challenging because their movement patterns are stochastic and complex. Previous pedestrian-oriented works have been successful in modelling the complex interactions among pedestrians, bu... Read More about Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding.

Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video (2022)
Conference Proceeding
Zhang, X., Zhang, H., & Shum, H. P. (2022). Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video. . https://doi.org/10.1007/978-3-031-16440-8_47

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that results in a variety of motor dysfunction symptoms, including tremors, bradykinesia, rigidity and postural instability. The diagnosis of PD mainly relies on clinical experience... Read More about Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video.

MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray (2022)
Conference Proceeding
Corona-Figueroa, A., Frawley, J., Bond-Taylor, S., Bethapudi, S., Shum, H. P., & Willcocks, C. G. (2022). MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray. . https://doi.org/10.1109/embc48229.2022.9871757

Computed tomography (CT) is an effective med-ical imaging modality, widely used in the field of clinical medicine for the diagnosis of various pathologies. Advances in Multidetector CT imaging technology have enabled additional functionalities, inclu... Read More about MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray.

Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks (2022)
Conference Proceeding
Zhang, H., Shum, H. P., & Ho, E. S. (2022). Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks. . https://doi.org/10.1109/embc48229.2022.9871230

Early diagnosis and intervention are clinically considered the paramount part of treating cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic prediction system for CP. We highlight a significant difference betwe... Read More about Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks.

360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network (2022)
Conference Proceeding
Feng, Q., Shum, H. P., & Morishima, S. (2022). 360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network. . https://doi.org/10.1109/vr51125.2022.00087

Single-view depth estimation from omnidirectional images has gained popularity with its wide range of applications such as autonomous driving and scene reconstruction. Although data-driven learning-based methods demonstrate significant potential in t... Read More about 360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network.