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About Myself (LaTeX Exercise)
A simple document created with LaTeX.
Ryan Christian Y. Imperial

Open University (Mathematics) assignment template
This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.
Uploaded from ShareLaTeX

Plantilla para tesis Universidad Tecnologica de Pereira (UTP) Ingenieria Electrica
Plantilla para tesis de pregrado, programa de ingeniería eléctrica UTP. Se recomienda ver la plantilla para presentaciones.
Alejandro Garces

Simon's Rock Thesis Template
A template to be used for senior theses at Bard College at Simon's Rock.
Jonathan Gabor

CWU Math 475 Project Template
A Mathematical Modeling Project Template, with example LaTeX for including graphs, tables and citations.
Jean Marie Linhart and Manuel Quezada De La Luna

Simple coloured timetable template
A simple timetable template with colour-coordinated events.
This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.
Uploaded from ShareLaTeX

About Myself (LaTeX Exercise)
A simple document created with LaTeX.
Marck Ruther Sta. Ines

Conservative Wasserstein Training for Pose Estimation
Paper presented at ICCV 2019.
This paper targets the task with discrete and periodic
class labels (e.g., pose/orientation estimation) in the context of deep learning. The commonly used cross-entropy or
regression loss is not well matched to this problem as they
ignore the periodic nature of the labels and the class similarity, or assume labels are continuous value. We propose to
incorporate inter-class correlations in a Wasserstein training framework by pre-defining (i.e., using arc length of a
circle) or adaptively learning the ground metric. We extend
the ground metric as a linear, convex or concave increasing
function w.r.t. arc length from an optimization perspective.
We also propose to construct the conservative target labels
which model the inlier and outlier noises using a wrapped
unimodal-uniform mixture distribution. Unlike the one-hot
setting, the conservative label makes the computation of
Wasserstein distance more challenging. We systematically
conclude the practical closed-form solution of Wasserstein
distance for pose data with either one-hot or conservative
target label. We evaluate our method on head, body, vehicle and 3D object pose benchmarks with exhaustive ablation studies. The Wasserstein loss obtaining superior performance over the current methods, especially using convex mapping function for ground metric, conservative label,
and closed-form solution.
Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B.V.K. Vijaya Kumar

CityU HK Beamer Presentation Template
template for EE8001
Liu Qi