Gallery Items tagged Conference Paper
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![AH2020 Template](https://writelatex.s3.amazonaws.com/published_ver/12973.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=56e848be018c14249cfc4e1cc904f56a24534c5316ad8c443cac63b7e3b6cbe6)
AH2020 Template
Submission Template for AH2020
Based on the ACM Master Template, edited by Shoya Ishimaru, Thomas Kosch
![ACM DIS2020 Long Paper Submission Template](https://writelatex.s3.amazonaws.com/published_ver/12853.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=dba49fa6d31a2def5ab93f8e2e986651b8c56d5e9b693c493d4e11f191cbd3ac)
ACM DIS2020 Long Paper Submission Template
ACM DIS2020 Conference Long paper format.
For more information see https://dis.acm.org/2020/
ACM DIS2020 Committee
![Language Resources and Evaluation Conference 2020 LaTeX template](https://writelatex.s3.amazonaws.com/published_ver/12638.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=c9f7332ba161b9ebf90efe6c1ae95fefd008dd64e00ccd53c67fd55c8133bff1)
Language Resources and Evaluation Conference 2020 LaTeX template
12th Edition of the Language Resources and Evaluation Conference LaTeX template.
Source: https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/.
LREC 2020 Organizers
![IFSP-CONPOG2019 Template](https://writelatex.s3.amazonaws.com/published_ver/11836.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=1189c6e4402260b82f63360cc8ecc9575554f37e5570242fa42c995e8f9c42ff)
IFSP-CONPOG2019 Template
Modelo para submissão no 4º Congresso Pós-Graduação do IFSP - 2019
FULANO C. SILVA
![Conservative Wasserstein Training for Pose Estimation](https://writelatex.s3.amazonaws.com/published_ver/12174.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=00b81f6c9603b84a213981881d08c77df06ade2f726f61c0be68664a876a1ee4)
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
![12th ICCP Proceedings Template](https://writelatex.s3.amazonaws.com/published_ver/10632.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8a82a47fe3cd13f4a98e05c097039ffe482a4690ec11296fc282222eee6abf87)
12th ICCP Proceedings Template
This is a LaTeX template available for use in submitting manuscripts to the 12th ICCP hosted in 2020 in Minneapolis, Minnesota.
Armen Amirkhanian
![COSIT2019 Template](https://writelatex.s3.amazonaws.com/published_ver/9023.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=9eea823bc4a9b0ed3a6e102b047df6c445e1c46129e468be194f089fa39ecb4d)
COSIT2019 Template
This is an UPDATED template suitable for submissions to the 14th Conference on Spatial Information Theory, which will be hosted by the Chair for Information Science at the University of Regensburg, Germany. It is a provided as a means of making things easier for those who might not be too familiar with writing LaTeX. The project uses NOW THE 2019 VERSION of the LIPICs class file. Submissions to the conference must adhere to the official LIPICs guidelines for authors to be found at: http://drops.dagstuhl.de/styles/lipics-v2019/lipics-v2019-authors.zip.
Markus Kattenbeck
![OASIcs v2019 Sample](https://writelatex.s3.amazonaws.com/published_ver/15952.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=3a94a8b6cf2fd557495cf1c9a63e97f941d520457056ca79cbb54c10d47eb86a)
OASIcs v2019 Sample
Sample document using the v2019 style version of the series OASIcs - OpenAccess Series in Informatics. OASIcs offers a venue for the Open Access and online publication of peer-reviewed proceedings based on international scientific events (workshops, symposia, conferences, ...) that took place outside of Schloss Dagstuhl.
See https://www.dagstuhl.de/oasics
https://github.com/dagstuhl-publishing/styles/
Dagstuhl Publishing
![Legacy SIGCHI Extended Abstract Template](https://writelatex.s3.amazonaws.com/published_ver/14765.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240727T024215Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240727/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=ba86c61a0b310f888353448a57726ba3fb03aa3ae7bd01ec7843566c302b6f3e)
Legacy SIGCHI Extended Abstract Template
This is a sample file for legacy SIGCHI extended abstracts, using acmart.cls v1.71 (2020/05/04).
Starting in Spring 2020 ACM retired SIGCHI Extended Abstract format (sigchi-a). ACM will not, under any circumstances, accept documents in this format for publication and will not offer technical support to the authors who use this template.
You may use this format in the nonacm mode only, as in \documentclass[sigchi-a, nonacm]{acmart}.
Association for Computing Machinery (ACM)