5 citations · 9 across the 5 of their papers we have counts for
7 papers
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation
Nyothiri Aung, Tahar Kechadi, Liming Chen +1
CNNs have been widely applied for medical image analysis. However, limited memory capacity is one of the most common drawbacks of processing high-resolution 3D volumetric data. 3D…
Look Beyond Bias with Entropic Adversarial Data Augmentation
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall +2
Deep neural networks do not discriminate between spurious and causal patterns, and will only learn the most predictive ones while ignoring the others. This shortcut learning behavi…
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
Mingwu Zheng, Hongyu Yang, Di Huang +1
Precise representations of 3D faces are beneficial to various computer vision and graphics applications. Due to the data discretization and model linearity, however, it remains cha…
Non-Deterministic Face Mask Removal Based On 3D Priors
Xiangnan Yin, Liming Chen
This paper presents a novel image inpainting framework for face mask removal. Although current methods have demonstrated their impressive ability in recovering damaged face images,…
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction
Xiangnan Yin, Liming Chen
Occlusions often occur in face images in the wild, troubling face-related tasks such as landmark detection, 3D reconstruction, and face recognition. It is beneficial to extract fac…
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Xiangnan Yin, Di Huang, Zehua Fu +2
Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from…
A Deep Learning Approach for Privacy Preservation in Assisted Living
Ismini Psychoula, Erinc Merdivan, Deepika Singh +6
In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Liv…