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

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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

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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

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Prof. Abhinav Valada (University of Freiburg)

Jens Behley (University of Bonn)

Nina Heide (Fraunhofer IOSB)

Peter Mortimer (Bundeswehr University Munich)

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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!

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

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