Cairo, Egypt May 5-7, 2022.
http://egyptscience.net/AMLTA2022/
Submission Deadline: 30 Nov 2022
We welcome your participation and contribution to the 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) which will be held in Cairo, Egypt May 5-7, 2022. The 8th edition of AMLTA 2022 will organized by the Scientific Research Group in Egypt (SRGE), Egypt, in collaboration with Port Said University, Egypt and VSB-Technical University of Ostrava, Czech Republic AMLTA is organized to provide an international forum that brings together those who are actively involved in the areas of interest and to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of Machine Learning technologies and applications. All accepted papers will be published in the conference proceeding which will be published by Springer (Approved) https://www.springer.com/series/15179 in the series of “Lecture Notes in Networks and Systems, Springer” and abstracted/indexed in DBLP, Google Scholar, Mathematical Reviews, SCImago, Scopus.
We are also providing online presentation facilities for the authors who are unable to attend the conference as well as PPT recording is acceptable. For more details check the list of topics from here:
http://egyptscience.net/AMLTA2022/
Paper submission: https://ocs.springer.com/misc/conference/submitpaperto/AMLTA2022
Important Dates:
Paper submission deadline 30 Nov 2021
Acceptance/rejection notification 30 December 2021
Submission of revised papers 10 January 2022
Registration 10 January2022
SUUE @ DAGM GCPR 2021 :: 1st Workshop on Scene Understanding in Unstructured Environments :: Free Participation on September 28 14:00 – 18:15 CEST / 8:00 – 12:15 EDT
September 28th, 2021 
Daniela Lopez de Luise SUUE @ DAGM GCPR 2021 :: 1st Workshop on Scene Understanding in Unstructured Environments :: Free Participation on September 28 14:00 – 18:15 CEST / 8:00 – 12:15 EDT
====================================================================
Free virtual workshop, September 28th 2021 14:00-18:15 CEST / 8:00 – 12:15 EDT, held in conjunction with the DAGM German Conference on Pattern Recognition (GCPR 2021):
Workshop Program: http//unstructured-scene-understanding.com/program.html
Conference Registration: https://virtual21.dagm-gcpr.de/
Keynote Speakers ====================================================================
* Prof. Karsten Berns (TU Kaiserslautern)
* Prof. Cyrill Stachniss (University of Bonn)
* Wenshan Wang & Prof. Sebastian Scherer (CMU) on “Learning to Navigate in Challenging Environment: from Simulation to the Real World”
* Prof. Srikanth Saripalli (Texas A&M University) on “Perception in the Wild for Off-Road Autonomous Vehicles”
Overview
====================================================================
The vast majority of research in scene understanding is applied in urban and structured environments. Unfortunately, these methods often fail when used in unstructured environments with challenging lighting conditions and many natural objects in the scene.
These conditions require different model assumptions and robust algorithms.
The main objective of this workshop is to create a platform for researchers, from both academia and industry, to explore fundamental research and applications on scene understanding in unstructured environments. It aims to foster discussion and exchanges, ideally creating a long-term flourishing communication channel in the community.
The workshop will take place on Tuesday September 28, 2021 14:00 – 18:15 CEST / 8:00 – 12:15 EDT as part of the DAGM German Conference on Pattern Recognition (GCPR). The conference will be organized as a virtual conference. We therefore invite the international research community to participate. The registration for the conference and workshop are free of charge. You can register for the conference at https://virtual21.dagm-gcpr.de/. Don't forget to select the “Workshop on Scene Understanding in Unstructured Environments” as your “Interest” during registration. This allows us to estimate the event attendance and prepare accordingly.
Workshop Chairs
====================================================================
Prof. Abhinav Valada (University of Freiburg)
Jens Behley (University of Bonn)
Nina Heide (Fraunhofer IOSB)
Peter Mortimer (Bundeswehr University Munich)
====================================================================
For any additional information feel free to contact us at suueworkshop@googlegroups.com
We are looking forward to your submissions and your attendance at the SUUE 2021 next week!
Fwd: [CVML] [CfP] Hazard Perception in Intelligent Vehicles @WACV 2022
September 28th, 2021 Daniela Lopez de Luise Call for papers: https://ardhendubehera.github.io/HPIV/
About the workshop:
This workshop will explore challenges in the analysis and assessment
of potential developing hazards to advance the research and
development of hazard perception in autonomous driving. This requires
solving the situation awareness by accurate detection and anticipation
of positions, movements and actions performed by multiple road users
(pedestrians, vehicles, cyclists and so on) that are a key to address
the anticipation of a developing potential hazard.
We welcome submissions on the following topics, but are not limited to:
Early detection of developing road events
Dynamic scene understanding
Attention modelling and predicting road users’ intentions and path
Tracking road users (e.g., cars, pedestrians, animals, etc.)
Driver status monitoring and human-car interaction
Deep/machine learning for vehicle perception
Adversarial domain adaptation for autonomous driving
Real-time (deep learning) inference of developing hazards
On board embedded hazard perception systems
Computational behaviour analysis
Sensor fusion and multi-modal AI for road condition/situation awareness
Decision making via reinforcement and/or imitation learning
Hazard modelling, description, and comparison
Action planning for the handling of hazards
Assessment and metrics for hazard perception components and systems
Explainability and ethical implications of hazard perception and
automated decision making
Important dates:
* Submission Deadline: Oct 17, 2021 (23:59 PST)
* Authors Notification: Nov 09, 2021 (23:59 PST)
* Camera Ready: Nov 15, 2021 (23:59 PST)
Keynote speakers:
Prof Mohan M Trivedi (University of California, San Diego, USA)
Prof C. V. Jawahar (International Institute of Information Technology,
Hyderabad, India)
Organizers:
Ardhendu Behera (Edge Hill University, UK)
R Venkatesh Babu (Indian Institute of Science, Bangalore, India)
Dima Damen (University of Bristol, UK)
Yonghuai Liu (Edge Hill University, UK)
C. S. Shankar Ram (Indian Institute of Technology Madras, India)
Nik Bessis (Edge Hill University, UK)
Understanding Social Behavior in Dyadic and Small Group Interactions (PMLR)
September 28th, 2021 Daniela Lopez de Luise Call for papers/brief book chapters:
Understanding Social Behavior in Dyadic and Small Group Interactions
(Proceedings of Machine Learning Research – PMLR: https://proceedings.mlr.press/)
Description: Human interaction has been a central topic in psychology and social sciences, aiming at explaining the complex underlying mechanisms of communication with respect to cognitive, affective and behavioral perspectives. From a computational point of view, research in dyadic and small group interactions enables the development of automatic approaches for detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics. Many human-centered applications for good (e.g., early diagnosis and intervention, augmented telepresence and personalized assistive agents) depend on devising solutions for such tasks.
Verbal and nonverbal communication channels are used in dyadic and small group interactions to convey our goals and intentions while building a common ground. During interactions, people influence each other based on the cues they perceive. However, the way we perceive, interpret, react, and adapt to them depends on a myriad of factors (e.g., our personal characteristics, either stable or transient; the relationship and shared history between individuals; the characteristics of the situation and task at hand; societal norms; and environmental factors). To analyze individual behaviors during a conversation, the joint modeling of participants is required due to the existing dyadic or group interdependencies. While these aspects are usually contemplated in non-computational dyadic research, context- and interlocutor-aware computational approaches are still scarce, largely due to the lack of datasets providing contextual metadata in different situations and populations.
Topics and Motivation: In line with these, we would like to bring together researchers in the field and from related disciplines to discuss the advances and new challenges on the topic of dyadic and small group interactions. We want to put a spotlight on the strengths and limitations of the existing approaches, and define the future directions of the field. In this context, we accept papers/brief book chapters in form of tutorials, surveys, and/or novel technical/scientific contributions addressing the issues related to, but not limited to, these topics:
-
Detection, understanding, modeling, prediction and synthesis of individual and interpersonal social signals and dynamics;
-
Verbal / nonverbal communication analysis in dyadic and small groups;
-
Contextual analysis in dyadic and small groups;
-
Datasets, annotation protocols and bias discovering/mitigation methods in dyadic and small groups;
-
Interpretability / Explainability in dyadic and small groups;
Researchers that express their interest in contributing to the PMLR proceedings by October 1st may be invited to present a snippet of their research during the ICCV’21 Understanding Social Behavior in Dyadic and Small Group Interactions (DYAD) Workshop (https://chalearnlap.cvc.uab.cat/workshop/44/description/) if they wish to in order to increase visibility of their research and possibly foster multidisciplinary collaboration.
Important dates:
-
Title and abstract (optional but strongly encouraged): October 1st, 2021
-
ICCV’21 DYAD workshop: October 16th, 2021
-
Paper submission: November 30th, 2021 (extended)
-
Author notification: mid-January 2022 (tentative)
-
Camera-ready (PMLR): mid-February 2022 (tentative)
Submission of intent (title and abstract) by email: sergio@maia.ub.es
Paper submission via CMT platform: https://cmt3.research.microsoft.com/PLMRDYAD2021
More info at: https://chalearnlap.cvc.uab.cat/workshop/44/schedule/ (PMLR track)
ORGANIZATION and CONTACT*
Sergio Escalera*, Computer Vision Center (CVC) and University of Barcelona, Spain <sergio.escalera.guerrero@gmail.com>
Cristina Palmero*, Computer Vision Center (CVC) and University of Barcelona, Spain <c.palmero.cantarino@gmail.com>
Wei-Wei Tu, 4Paradigm Inc., China
Albert Clapés, Aalborg University (AAU), Denmark, and Computer Vision Center (CVC) , Spain
Call for Papers for a Special Issue on “Near-Sensor DNN Computing” – Deadline 30th April 2022
September 28th, 2021 Daniela Lopez de Luise Dear Colleagues,
We would like to invite you to contribute to the Special Issue on the topic ” Near-Sensor DNN Computing” for the open access journal MDPI Sensors (IF = 3.576).
The scope of the Special Issue is to provide new developments and recent advances in the compression of the deep neural networks for real-time applications.
The deadline is on 30 April 2022.
Detailed information can be found at https://www.mdpi.com/journal/sensors/special_issues/DNN_Computing
Of course, for any further information, please don’t hesitate to contact us.
Feel free to forward this invitation to any colleague you think may be interested.
Best regards,
Dr. Maher JRIDI maher.jridi@isen-ouest.yncrea.fr
Dr. Thibault NAPOLEON thibault.napoleon@isen-ouest.yncrea.fr
Dr. Ayoub KARINE ayoub.karine@isen-ouest.yncrea.fr