[HTML][HTML] The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the …
An examination of model validation practices in the peer-reviewed transportation literature
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …
Automatic animation of hair blowing in still portrait photos
W Xiao, W Liu, Y Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
We propose a novel approach to animate human hair in a still portrait photo. Existing work
has largely studied the animation of fluid elements such as water and fire. However, hair …
has largely studied the animation of fluid elements such as water and fire. However, hair …
Neuralhdhair: Automatic high-fidelity hair modeling from a single image using implicit neural representations
Undoubtedly, high-fidelity 3D hair plays an indispensable role in digital humans. However,
existing monocular hair modeling methods are either tricky to deploy in digital systems (eg …
existing monocular hair modeling methods are either tricky to deploy in digital systems (eg …
Vehicle trajectory prediction and cut-in collision warning model in a connected vehicle environment
N Lyu, J Wen, Z Duan, C Wu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Side collisions caused by sudden vehicle cut-ins comprise a significant proportion of traffic
accidents. Due to the complex and dynamic nature of traffic environments, the warning …
accidents. Due to the complex and dynamic nature of traffic environments, the warning …
Hairstep: Transfer synthetic to real using strand and depth maps for single-view 3d hair modeling
In this work, we tackle the challenging problem of learning-based single-view 3D hair
modeling. Due to the great difficulty of collecting paired real image and 3D hair data, using …
modeling. Due to the great difficulty of collecting paired real image and 3D hair data, using …
Ct2hair: High-fidelity 3d hair modeling using computed tomography
We introduce CT2Hair, a fully automatic framework for creating high-fidelity 3D hair models
that are suitable for use in downstream graphics applications. Our approach utilizes real …
that are suitable for use in downstream graphics applications. Our approach utilizes real …
Sketchhairsalon: Deep sketch-based hair image synthesis
Recent deep generative models allow real-time generation of hair images from sketch
inputs. Existing solutions often require a user-provided binary mask to specify a target hair …
inputs. Existing solutions often require a user-provided binary mask to specify a target hair …
Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: A driving simulator study
Managed lanes (MLs) system has been widely implemented on freeways to mitigate
congestion and improve efficiency. MLs are usually designed as concurrent with general …
congestion and improve efficiency. MLs are usually designed as concurrent with general …
Deepmvshair: Deep hair modeling from sparse views
We present DeepMVSHair, the first deep learning-based method for multi-view hair strand
reconstruction. The key component of our pipeline is HairMVSNet, a differentiable neural …
reconstruction. The key component of our pipeline is HairMVSNet, a differentiable neural …
Optimization model for the freeway-exiting position decision problem of automated vehicles
D Yang, B Jia, L Dai, JP Jin, L Xu, F Chen… - … research part B …, 2022 - Elsevier
In recent years, automated vehicles have attracted much attention all over the world. This
paper focuses on the freeway-exiting position decision problem of automated vehicles …
paper focuses on the freeway-exiting position decision problem of automated vehicles …