posted by user: jalvarezlopez || 1483 views || tracked by 4 users: [display]

DLVP 2017 : Deep Learning for Vehicle Perception - Call for Abstracts

FacebookTwitterLinkedInGoogle

Link: http://www.deep-driving.net
 
When Jun 11, 2017 - Jun 11, 2017
Where Redondo Beach
Submission Deadline May 1, 2017
Notification Due May 8, 2017
Final Version Due May 20, 2017
Categories    deep learning   visual perception   semantic segmentation   autonomous driving
 

Call For Papers

The goal of this workshop on deep learning for vehicle perception is to foster discussion and to accelerate the study
of deep architectures in autonomous driving problems with a focus on the efficiency of the algorithms.
In this edition of the workshop on learning representations for autonomous driving we aim at providing basic
theoretical and practical knowledge to understanding the potential of deep learning architectures as well as to
encourage discussions on the specific challenges within the field of intelligent vehicles and advance the current
status of efficient algorithms by proposing a challenge in this particular topic.
We are soliciting original contributions that address a wide range of theoretical and practical issues including, but
not limited to:
1. Efficient inference with deep neural networks
2. Deep learning for reinforcement learning
3. Uncertainty propagation in deep neural networks
4. Deep neural networks for perception systems in intelligent vehicles
5. Datasets for autonomous driving
6. Low-level vision tasks for Intelligent Vehicles (pedestrian detection, semantic segmentation, instance segmentation...)

Submission Guidelines
Extended abstracts need to be submitted by email to Jose Alvarez
(We will not use the PaperCept system)
Formatting guidelines and submission rules:
1. Maximum of four pages including references
2. IEEE format
3. The extended abstracts will not be published in the proceedings. However they will be published on
this website upon authors’ agreement.
4. The submitted abstract should present recent results, but not necessarily novel ones.
5. All accepted abstracts will be presented as posters at the workshop. We will select a single abstract
which will be additionally given the opportunity for an oral presentation.
6. All abstracts will be reviewed by a program committee and the organizers.


Submission Guidelines
Extended abstracts need to be submitted by email to Jose Alvarez
(We will not use the PaperCept system)
Formatting guidelines and submission rules:
1. Maximum of four pages including references
2. IEEE format
3. The extended abstracts will not be published in the proceedings. However, they will be published on this website upon authors’ agreement.
4. The submitted abstract should present recent results, but not necessarily novel ones.
5. All accepted abstracts will be presented as posters at the workshop. We will select a single abstract which will be additionally given the opportunity for an oral presentation.
6. All abstracts will be reviewed by a program committee and the organizers.

Related Resources

MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
CBIoT 2020   International Conference on Cloud, Big Data and IoT
AICA 2020   O'Reilly AI Conference San Jose
ICMLC--ACM, Ei and Scopus 2020   ACM--2020 12th International Conference on Machine Learning and Computing (ICMLC 2020)--SCOPUS, Ei Compendex
MAAIDL 2020   Springer Book 'Malware Analysis using Artificial Intelligence and Deep Learning'
IEEE AIML4COINS 2020   IEEE AIML4COINS2020 | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP
DLfor5GIoT 2020   Deep Learning for 5G IoT Systems
IJSCAI 2019   International Journal on Soft Computing, Artificial Intelligence and Applications
IJCSA 2019   International Journal on Computational Science & Applications
CMES_RADLMSA 2020   CMES_Recent Advances on Deep Learning for Medical Signal Analysis (IF: 0.796)