The Open Deep Learning Toolkit for Robotics Version 2.1 is already available !!

March 14th, 2023 Daniela Lopez de Luise
The Open Deep Learning Toolkit for Robotics (OpenDR) version 2.1 is 

already available only just two months after the toolkit version 2.0 
release!
This new version of the toolkit includes the following updates:

New Features:

– Added Efficient LiDAR Panoptic Segmentation
– Added Nanodet 2D Object Detection tool
– Added C API implementations of NanoDet 2D Object Detection tool
– Added C API implementations of forward pass of DETR 2D Object Detection tool
– Added C API implementations of forward pass of DeepSORT 2D Object 
Tracking tool
– Added C API implementations of forward pass of Lightweight OpenPose, 
Pose Estimator tool
– Added C API implementations of forward pass of X3D 2D Activity 
Recognition tool
– Added C API implementations of forward pass of Progressive 
Spatiotemporal GCN Skeleton-based Action Recognition tool
– Added Binary High Resolution Analysis tool
– Added Multi-Object-Search tool

Enhancements:

– Added support in C API for detection target structure and vector of 
detections
– Added support in C API for tensor structure and vector of tensors
– Added support in C API for json parser

You can download the toolkit here:

– GitHub: https://github.com/opendr-eu/opendr
– pip: https://pypi.org/project/opendr-toolkit/
– Docker Hub: https://hub.docker.com/r/opendr/opendr-toolkit/tags

We look forward to receiving your feedback, bug reports, and 
suggestions for improvements at https://github.com/opendr-eu/opendr !

For more information about the project, you can visit OpenDR website: 
https://opendr.eu/

OpenDR Team

This project has received funding from the Horizon 2020 programme 
under grant agreement No 871449.

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GeoLifeCLEF23 competition, until May 17th

March 14th, 2023 Daniela Lopez de Luise
We would like to invite you to participate in GeoLifeCLEF 2023, a machine learning competition that aims at predicting plant species composition in space and time. The competition is designed to support biodiversity management and conservation and to improve species identification and inventory tools.
The primary objective is to predict the set of plant species present at a given location and time using Sentinel-2 satellite images and Landsat time-series, as well as other rasterized environmental data like land-cover, human footprint, bioclimatic, and soil variables. The challenge presents several difficulties, including multi-label learning from single positive labels, strong class imbalance, multi-modal learning, and large-scale data.
We provide a large-scale training set of approximately 5 million plant occurrences in Europe (single-label data) belonging to 10,000 different species, thus covering a large proportion of the European flora. Unlike in previous years, in which occurrence data was also used for evaluation, we provide presence-absence data, thus multi-label, for 5,000 validation and 20,000 test plots.
The competition will be hosted by Kaggle and a summary of the results will be presented at the FGVC workshop at CVPR 2023 in Vancouver and at ImageCLEF 2023 in Thessaloniki.
Give it a try! More details can be found in:
Best regards,
The GeoLifeCLEF23 organizers
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Expert Talk on Multimodal Transformers with Hubert Ramsauer

March 14th, 2023 Daniela Lopez de Luise
Dear AI students and enthusiasts,
Welcome to our second expert talk hosted by the neuron.ai AI Brainery team! We are excited to bring together leading experts in the field of Artificial Intelligence to share their knowledge and insights with our community.

Our expert speakers will be discussing a wide range of topics within AI, from the latest research and development to practical applications and their impact on society.

We are delighted to welcome Hubert Ramsauer from Kaleido AI as the expert on stage on March 15th. He will talk about Large Language Models (LLMs), especially in the context of multimodality, on a theoretical level and provide some practical insights.

We invite you to join us for this exciting event and participate in the conversation on the future of AI. This event will be held entirely online so everyone can join.

📅 Wednesday, 15 March 2023
🕛 18:00 CET – open end
📍 Zoom (link will be shared after registration)
Don’t miss your chance to hear from industry leaders, ask questions, and network with like-minded individuals. Register now to secure your spot at neuron.ai’s first expert talk on Artificial Intelligence.
Best regards,
Queby

Nathanya Queby Satriani
Marketing & Design Department @ neuron.ai
The first student-run initiative for AI in Austria.

https://www.linkedin.com/company/neuron-ai-austria/ https://www.instagram.com/neuron.ai_austria/ 

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DSP 2023 – Deadline extended to 18 March 2023

March 14th, 2023 Daniela Lopez de Luise
Paper submission deadline has been extended to March 18, 2023.
=================================================================================
DSP 2023

24th International Conference on Digital Signal Processing

11-13 June 2023, Island of Rhodes, Greece

https://2023.ic-dsp.org/

=================================================================================

IMPORTANT DATES

•    Submission of full papers – March 18, 2023
•    Notification of acceptance – April 11, 2023
•    Author advance registration – April 22, 2023
•    Camera-ready paper submission – May  11, 2023

=================================================================================

The 24th International Conference on Digital Signal Processing (DSP 2023), technically co-sponsored by IEEE Signal Processing Society and EURASIP, will be held June 11-13, 2023 on the island of Rhodes, Greece. It is the longest in existence Conference in the area of DSP and belongs to a series of events that commenced from London in 1967 and continued to Florence, Nicosia, Limassol, Santorini, Cardiff, Corfu, Hong-Kong, Singapore, Beijing, and Shanghai. It returns back to Greece after ten years; DSP 2013 took place on Santorini island. It will bring together leading experts from academia and industry to share the most recent and exciting advances in the general area of digital signal processing and analysis.

DSP 2023 addresses the theory and application of filtering, coding, transmitting, estimating, detecting, analysing, recognising, synthesising, recording, and reproducing signals by means of digital devices or techniques. The term “signal” includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and any other type of signal. This includes primarily those areas listed under all EDICS categories of the IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing.

The program will include presentations on novel research theories / applications / results in lecture, poster and plenary sessions. Special Sessions organised by internationally recognised experts in the area constitute the basis of DSP conferences.

Topics of interest include, but are not limited to:

Biomedical Signal Processing
• Biomedical Signal and Image Processing
• Brain-Computer Interface
• Genomic Signal Processing
• Signal Processing in Genomics and Proteomics

Digital and Multirate Signal Processing
• Adaptive Signal Processing
• Digital and Multirate Signal Processing
• Digital Filter Design and Implementation
• Multidimensional Filters and Transforms
• Multiresolution Signal Processing
• Multiway Signal Processing
• Theory and Applications of Transforms
• Time-Frequency Analysis and Representation
• Statistical Signal Processing

Sensor Array and Multichannel Processing
• Array Signal Processing
• Signal Processing for Smart Sensors and Systems
• Compressive Sensing

Signal Processing for Communications
• Geophysical/Radar/Sonar Signal Processing
• MIMO Signal Processing

Signal Processing for Audio/Image/Video
• Audio/Speech/Music Processing & Coding
• Digital Photography
• HDR Imaging
• Image and Multidimensional Signal Processing
• Image/Video Indexing, Search and Retrieval
• Image/Video Compression and Coding Standards
• Image/Video Content Analysis
• Image/Video Processing Techniques
• 3D Image Processing and Applications
• Mobile Imaging and Image Quality
• Real-Time Signal/Image/Video Processing
• Video Surveillance and Transportation Imaging
• Digital Watermarking and Data Hiding

Other Areas and Applications
• Big Data
• Cognitive Signal Processing
• DSP Education
• Nonlinear Signals and Systems
• Information Forensics and Security
• Internet of Things (IoT)
• Social Signal Processing & Affective Computing
• Signal and System Modelling
• Signal Processing of Financial Data
• VLSI Architectures and Implementations for DSP

=================================================================================

PAPER SUBMISSION (Submission is OPEN at https://2023.ic-dsp.org/author-kit/ )

The language of the Conference is English. Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures, tables, references and one optional 5th page containing references only). IEEE templates for the paper format, and “no show” policy do apply. Authors should indicate one or more of the above listed categories that best describe the topic of the paper, as well as their preference (if any) regarding lecture or poster presentation. Lecture and poster sessions are treated equally in terms of the review process. Submitted papers will be peer-reviewed by at least two experts in the field. Accepted papers will be submitted for inclusion into IEEE  Xplore subject to meeting IEEE Xplore’s scope and quality requirements. In addition to the technical program, a social program will be offered to the participants and their companions. It will provide an opportunity to meet colleagues and friends against a backdrop of outstanding natural beauty and rich cultural heritage in one of the best-known international tourist destinations, the Island of Sun, Rhodes.

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ORGANISING COMMITTEE

Honorary Chair
Anthony G. Constantinides, UK

General Chair
Athanassios N. Skodras, GR

General Co-Chair
Danilo Mandic, UK

Constantinides Track Chair
fred harris, US

Technical Program Chair
Adrian Munteanu, BE

Awards Chairs
Constantinos S. Pattichis, CY
Saeid Sanei, UK

Plenary Sessions Chairs
Marc Antonini, FR
Jonathon Chambers, UK

Special Sessions Chairs
Angelo Genovese, IT
Marios S. Pattichis, USA

Early Career Researcher Chair
Stefan Vlaski, UK

Women in SP Chair
Tania Stathaki, UK

Publicity Chairs
Efe Bozkir, DE
Dimitris Ampeliotis, GR
Melpomeni Dimopoulou, FR

Publications Chair
Vassilis Fotopoulos, GR

Industrial Liaisons
Ioannis Katsavounidis, US
George Lambropoulos, CA
Béatrice Pesquet-Popescu, FR
Mahsa Pourazad, UK
Andreas Spanias, US
Christian Timmerer, AT

International Liaisons
Jing Dong, CN
Alex Kot, SG
Vincenzo Piuri, IT
W. C. Siu, HK

Advisory Board
Moncef Gabbouj, FI
Kin K. Leung, UK
Thrasos Pappas, US

=================================================================================

IMPORTANT DATES

•    Submission of full papers – March 18, 2023
•    Notification of acceptance – April 11, 2023
•    Author advance registration – April 22, 2023
•    Camera-ready paper submission – May  11, 2023

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RO-MAN 2023 Special Session on “HRI in Academia and Industry: Bridging the Gap”

March 14th, 2023 Daniela Lopez de Luise
SPECIAL SESSION on “HRI in Academia and Industry: Bridging the Gap” @ IEEE RO-MAN 2023

 

IMPORTANT DATES

  • *NEW* Paper Submission Deadline: March 31, 2023 (AoE)

  • Notification of Acceptance: May 26, 2023

  • Final Paper Submission: June 30, 2023

 

AIM AND SCOPE

The use of robots that operate in spaces where humans are present is growing at a dramatic rate. We are seeing more and more robots in warehouses, on streets, and even in our homes. All of these robots will, as part of their primary function, interact with humans in some way. In order to be successful, their interactions with humans will have to be carefully designed. The field of Human-Robot Interaction (HRI) has been growing at the intersection of robotics, AI, psychology, and a number of other fields. However, until quite recently, it has been a largely academic area, with university researchers proposing, implementing, and reporting on experiments at a limited scale. With the current increase of commercially-available robots, HRI is starting to make its way into industry in a meaningful way.

This special session is intended to bring together HRI researchers and practitioners from both academia and industry, to discuss how these areas are different in their needs and approaches, and to figure out how HRI researchers and practitioners in these areas can work together – How can we make academic HRI research and education more relevant to industrial needs? How can industry support and contribute to more science-focused HRI? The special session will attract contributions on four broad themes, outlined below, in an attempt to build a new community interested in how these two active areas of HRI research and practice can work more closely together, and support each other in practical terms. We welcome research and case study papers with at least one section devoted to addressing some of the questions outlined below in the discussion section. We also invite survey and position paper contributions that directly surveys or discusses some of the below questions.

  • The Constraints and Needs of HRI in Industry

    • What are the constraints of deploying HRI at scale in consumer robots?

    • What are the pressing HRI problems that the industry wants to solve? Why?

    • How do we measure the success of HRI in a consumer product?

    • What HRI research can we do in an industry setting that we can’t do in academia?

  • The Relevance and Innovation of Academic HRI

    • What are the constraints of HRI research in an academic environment?

    • What industrial or consumer applications drive interesting academic HRI research?

    • How do we measure the success of academic HRI beyond controlled experiments and p-values?

    • What HRI research can we do in an academic setting that we can’t do in industry?

  • Interaction between Academic and Industrial HRI: Publications, Conferences, Tools/Technology Resources, and Experiments

    • What are the constraints of publishing in industry, and how do we address them?

    • How can academic & industrial HRI researchers collaborate meaningfully across the IP boundary?

    • How can industry HRI research benefit more from science-driven approaches?

    • How can academic HRI research benefit more from real-world problems?

  • HRI Education and Training: What does Academia and Industry Need?

    • What does it mean to be an HRI researcher? What are required skill sets in industry & academia?

    • How should we be training future HRI researchers for industry and academic career paths?

    • Since HRI can touch on all aspects of a robot system, how much HRI should robot hardware and software developers know?

    • How can HRI researchers with interdisciplinary backgrounds integrate successfully with hardware and software development teams? How much technical background do they need to know?

 

Contributions

The special session contributions will go through the same peer review process as regular track papers, and the accepted manuscripts will appear in the Ro-Man23 proceedings. 

Please follow the directions as provided in the conference website: http://ro-man2023.org/paperSubmission/papersubmission

In Steps 3 and 4, select “Special Session Paper” under the First Submission category, and enter the following code to submit to our session.

  • Special Session Submission Code: an7c7

Organizers

  • Hae Won Park (Amazon Lab126 and MIT)

  • Bill Smart (Amazon Lab126 and Oregon State University)

  • Ross Mead (Semio)

  • Chien-Ming Huang (Johns Hopkins University)

  • Anastasia K. Ostrowski (MIT)

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