Fast end-to-end learning on protein surfaces

F Sverrisson, J Feydy, BE Correia… - Proceedings of the …, 2021 - openaccess.thecvf.com
… accurately, we associate an atomic … study for chemical and geometric features, depicted in
Figure 6. They suggest that the concatenation of geometric curvatures to the vector of learned

[HTML][HTML] Scan to BIM for the digital management and representation in 3D GIS environment of cultural heritage site

M Pepe, D Costantino, VS Alfio, AG Restuccia… - Journal of Cultural …, 2021 - Elsevier
models and, subsequently, the parameterisation of individual objects in the BIM environment,
it is possible to associate … and to obtain a high degree of detail, both from a geometric and …

Learning to infer and execute 3d shape programs

Y Tian, A Luo, X Sun, K Ellis, WT Freeman… - arXiv preprint arXiv …, 2019 - arxiv.org
… a set of points or a composition of geometric primitives: we also … focus more on low-level
geometry but less on these higher-… geometry of the primitive; instead, they associate geometric

A survey of adaptive resonance theory neural network models for engineering applications

LEB da Silva, I Elnabarawy, DC Wunsch II - Neural Networks, 2019 - Elsevier
models, thereby painting a general picture of the architectures developed by researchers
over the past 30 years. The learning dynamics of these ART models … corresponding geometric

[HTML][HTML] HBIM for conservation: A new proposal for information modeling

N Bruno, R Roncella - Remote Sensing, 2019 - mdpi.com
… here is non-geometrical information management in HBIM … procedure in the BIM environment,
the analysis of the state of … model’s parameters, the implemented system can associate

Form2fit: Learning shape priors for generalizable assembly from disassembly

K Zakka, A Zeng, J Lee, S Song - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
… We establish geometric correspondences between object surfaces and their target placement
locations (eg empty holes/cavities) by learning a fully convolutional network that maps …

Geometry guided pose-invariant facial expression recognition

F Zhang, T Zhang, Q Mao, C Xu - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
learning model that allows to simultaneous facial image synthesis and pose-invariant facial
expression recognition by exploiting shape geometry … The associate editor coordinating the …

A self-learning dynamic path planning method for evacuation in large public buildings based on neural networks

Y Peng, SW Li, ZZ Hu - Neurocomputing, 2019 - Elsevier
… In this study, a dynamic path planning approach based on neural networks is … model is
still a tedious and error-prone task. Accurate geometry data and a number of environmental

Hierarchical representations and explicit memory: Learning effective navigation policies on 3d scene graphs using graph neural networks

Z Ravichandran, L Peng, N Hughes… - … on Robotics and …, 2022 - ieeexplore.ieee.org
… boost performance by explicitly encoding geometric, topological, and … Several works associate
object detections with prior embeddings to … [11] propose learning semantic and geometric

A general model of hippocampal and dorsal striatal learning and decision making

JP Geerts, F Chersi, KL Stachenfeld… - Proceedings of the …, 2020 - National Acad Sciences
… We specifically associate our striatal model with the DLS. Lesion and inactivation studies
have shown that the dorsal striatum is functionally very heterogeneous (75). Lesions of the …