Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …
deep learning (DL). However, the latter faces various issues, including the lack of data or …
SHREC 2020: Multi-domain protein shape retrieval challenge
Proteins are natural modular objects usually composed of several domains, each domain
bearing a specific function that is mediated through its surface, which is accessible to vicinal …
bearing a specific function that is mediated through its surface, which is accessible to vicinal …
Deep learning based detection of hair loss levels from facial images
H Benhabiles, K Hammoudi, Z Yang… - … on Image Processing …, 2019 - ieeexplore.ieee.org
Hair loss is a phenomenon known to affect people's morale and self-confidence. Often, the
awareness of the phenomenon and the possibilities of treatment is late. This paper …
awareness of the phenomenon and the possibilities of treatment is late. This paper …
Orthogonal integral transform for 3D shape recognition with few examples
C Lin, P Wang, S **ong, R Chen - The Visual Computer, 2024 - Springer
Abstract 3D shape recognition with few examples is crucial for applications involving 3D
scenes, but typical methods based on surface and view suffer the failure to describe the …
scenes, but typical methods based on surface and view suffer the failure to describe the …
BioS2Net: Holistic Structural and Sequential Analysis of Biomolecules Using a Deep Neural Network
A Roethel, P Biliński, T Ishikawa - International Journal of Molecular …, 2022 - mdpi.com
Background: For decades, the rate of solving new biomolecular structures has been
exceeding that at which their manual classification and feature characterisation can be …
exceeding that at which their manual classification and feature characterisation can be …
Surface-based protein domains retrieval methods from a SHREC2021 challenge
F Langenfeld, T Aderinwale, C Christoffer… - Journal of Molecular …, 2022 - Elsevier
Proteins are essential to nearly all cellular mechanism and the effectors of the cells activities.
As such, they often interact through their surface with other proteins or other cellular ligands …
As such, they often interact through their surface with other proteins or other cellular ligands …
[PDF][PDF] Predicting protein functional sites through deep graph convolutional neural networks on atomic point-clouds
D Toomer - 2020 - cs230.stanford.edu
One of the most important processes in de novo drug design is to determine functional sites
on the protein of interest. Recent research in computer-aided drug design (CADD) has …
on the protein of interest. Recent research in computer-aided drug design (CADD) has …
[PDF][PDF] SHREC 2021: Surface-based Protein Domains Retrieval.
Proteins are essential to nearly all cellular mechanism, and often interact through their
surface with other cell molecules, such as proteins and ligands. The evolution generates …
surface with other cell molecules, such as proteins and ligands. The evolution generates …