Accessibility, Vision, and Autonomy Workshop and Challenge – Call for Participation

April 14th, 2022 Daniela Lopez de Luise
The Accessibility, Vision, and Autonomy workshop at CVPR 2022 is soliciting abstracts and challenge submissions!
The challenge involves computer vision for perception of people with mobility aids, with a deadline of June 10 to be considered for award at the workshop.
Further details can be found in the workshop and challenge websites below
Whether a student, a developer, a researcher, or a practitioner, we are looking forward to your submissions! 
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Challenge on Surgical Action Triplet Recognition (CholecTriplet2022) – Call for Participation

April 14th, 2022 Daniela Lopez de Luise

We are excited to announce the CholecTriplet2022 challenge, a surgical action triplet detection challenge which is part of the Endoscopic Vision Grand challenge at MICCAI 2022. In this edition, participants are tasked with recognizing and localizing tool-tissue interactions, represented as triplets of <instrument, verb, target>, from laparoscopic videos. Participants will compete to train models using only frame-level annotations to predict the triplets present in a given image and localize the instrument used to carry out the action. 

 

This challenge is in line with recent efforts in the computer vision and deep learning community, which have begun to transition from coarse-grained tasks such as action and activity recognition to finer-grained tasks such as Human-Object Interaction (HOI).  Formalizing surgical activities using triplets and localizing them represents a step toward comprehensive fine-grained modeling in the surgical domain, and can facilitate the development of intra-operative decision support systems in the operating room (OR). CholecTriplet2022 offers participants the opportunity to explore these research areas, engage with the community, compete, collaborate, and push the boundaries of surgical scene understanding.

 

This challenge will provide access to the CholecT50 dataset, a dataset of 50 surgical videos which has been annotated by clinicians with 100 action triplet classes. A baseline study [1] provides additional background about the task and dataset. The teams with the best results will be rewarded with prizes. We also plan a joint publication with top participants after the challenge.

 

To register for the challenge and for more information, please visit the challenge website: 

https://cholectriplet2022.grand-challenge.org/

 

Please feel free to contact us at the email below should you have any questions. We look forward to your participation!

 

Best regards,

The CholecTriplet2022 Organizers.

Aditya Murali, Chinedu Nwoye, Saurav Sharma, Tong Yu, Armine Vardazaryan, Deepak Alapatt, Nicolas Padoy

✉ Contact us: cholectriplet2022-support@icube.unistra.fr

 

[1]Nwoye, C. I., Yu, T., Gonzalez, C., Seeliger, B., Mascagni, P., Mutter, D., … & Padoy, N. (2022). Rendezvous: attention mechanisms for the recognition of surgical action triplets in endoscopic videos. Medical Image Analysis, 102433.

 

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DeepLearn 2022 Summer: early registration May 8

April 14th, 2022 Daniela Lopez de Luise
6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING
DeepLearn 2022 Summer
Las Palmas de Gran Canaria, Spain
July 25-29, 2022
*****************
Co-organized by:
University of Las Palmas de Gran Canaria
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
******************************************************************
Early registration: May 8, 2022
******************************************************************
SCOPE:
DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimarães.
Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
ADDRESSED TO:
Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.
VENUE:
DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:
Institución Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event.
KEYNOTE SPEAKERS:
Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science
Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning — A Paradigm Shift in Human Thought!?
Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning
PROFESSORS AND COURSES:
Tülay Adalı (University of Maryland Baltimore County), [intermediate] Data Fusion Using Matrix and Tensor Factorizations
Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences
Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models
Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation
Dumitru Erhan (Google), [intermediate/advanced] Visual Self-supervised Learning and World Models
Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models
Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models
Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation
Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs
Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding
Yan Liu (University of Southern California), [introductory/intermediate] Deep Learning for Time Series Analysis
Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis
Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design
Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning
Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications
Clara I. Sánchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare
Björn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing
Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks [virtual]
Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines
Csaba Szepesvári (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality
  1. Murat Tekalp (Koç University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression
Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry
Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning
Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by July 17, 2022.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 17, 2022.
EMPLOYER SESSION:
Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 17, 2022.
ORGANIZING COMMITTEE:
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)
REGISTRATION:
It has to be done at
The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same.
ACCOMMODATION:
Accommodation suggestions will be available in due time at
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
ACKNOWLEDGMENTS:
Cabildo de Gran Canaria
Universidad de Las Palmas de Gran Canaria
Universitat Rovira i Virgili
Institute for Research Development, Training and Advice – IRDTA, Brussels/London
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SADIO – Curso virtual “Workflow Continuo de Desarrollo a Produccion”

April 13th, 2022 Daniela Lopez de Luise
Curso virtual: Workflow Continuo de Desarrollo a Producción

Docente: Equipo docente de Mikroways liderado por Christian
Rodríguez

Fecha de inicio: 2 de Mayo de 2022 (sujeta a que se complete el cupo
necesario para su dictado)

Descripción: en este curso se presentará un flujo de trabajo en
proyectos de desarrollo de software basado en la automatización de
tareas, la incorporación de integración, entrega y despliegue
continuos y la adopción de buenas prácticas de la industria del
desarrollo de software. Se usarán herramientas concretas, con el
objetivo de desarrollar un ciclo de mejora continua.

Objetivos: las y los estudiantes al completar el curso contarán con
conocimientos acerca de las mejores prácticas aplicables a cualquier
proceso de desarrollo de software con los objetivos de estandarizar el
trabajo, automatizar tareas y aumentar la productividad, la calidad
del producto final y la frecuencia en las entregas a los clientes.

Dirigido a: toda persona del área de TI que participe, de forma
directa o indirecta, en un proyecto de desarrollo de software, ya sea
durante su construcción, mantenimiento o en la gestión del mismo en
producción.

Requisitos: se recomienda contar con conocimientos de desarrollo de
software, testing y/o administración de sistemas e, idealmente,
tener cierta experiencia previa trabajando en alguno de los roles
mencionados.

Modalidad: las clases se desarrollarán en modalidad virtual, con
encuentros sincrónicos, a través del campus de SADIO y la
metodología de trabajo combinará contenido teórico con resolución
de casos prácticos.

Duración: 6 semanas con una dedicación estimada de 30 horas en
total.
El curso se desarrollará en 6 encuentros sincrónicos semanales de 2
horas cada uno, los días martes de 11 a 13 hs, 6 encuentros
adicionales en horario a acordar para la corrección de los trabajos
prácticos y tiempo de dedicación individual para el desarrollo de
los trabajos prácticos que se propondrán durante el curso.

Días y horarios: las clases sincrónicas son los Martes 3, 10, 17,
24 y 31 de Mayo y 7 de Junio de 11 a 13 hs. Las clases quedarán
grabadas en el campus para su consulta durante el curso.

PROGRAMA
Contenido Teórico

 Importancia de utilizar estándares de codificación.
 Semántica del versionado para componentes y producto.
 Utilización de un sistema de tickets para seguimiento.
 Versionado de la base de datos.
 Versionado de código.

 – Presentación de distintos flujos de trabajo con GIT para manejar
los cambios en desarrollo, discriminando parches, nuevas
funcionalidades y su relación con el sistema de tickets.
 Testing: tests de unidad, de integración, de aceptación. Linting.
TDD.
 Integración y entrega continua: automatización de testing;
generación y almacenamiento de artefactos, binarios, imágenes.
 Definición de ambientes.
 Estrategias para la puesta en producción. Rolling update,
blue-green deployment, canary deployment. Despliegue continuo.
 Herramientas de monitoreo y estadísticas. Gestión de logs.
Retroalimentación a desarrollo.
 Escalamiento. Twelve-factor app.
 DevOps, Automatización e Infraestructura como código (IaC).

Contenido Práctico

 Trabajo 1: estándares de codificación y schema migrations.
 Trabajo 2: Git y Git Flow.
 Trabajo 3: Test-driven development, integración y despliegue
continuos.
 Trabajo 4: Vagrant.
 2 talleres guiados de Vagrant y Ansible.

Aranceles (en pesos argentinos)
Inscripción temprana (hasta el 25/04/2022): $ 26.000
Inscripción tardía (desde el 26/04/2022): $ 28.800
Descuento para socios de SADIO 50%

Formulario de inscripción:

Medios de pago disponibles:
* Pago por Transferencias Bancarias (solo para residentes en
Argentina) a:
SADIO (CUIT 30-64931218-0)
BBVA – Sucursal 330 Tribunales
Cta. Cte. Pesos: 502/7
CBU: 0170330420000000050276

*Pago con Tarjeta de crédito/débito (Visa, Master o Cabal).
Solicitar el botón de pago correspondiente a
informacion@sadio.org.ar
<http://www.sadio.org.ar/lists/lt.php?id=Y00PBAsKCAMNB0VTVFQASVQPU1xX >

Antecedentes del docente: El equipo de Mikroways está liderado por
Christian Adrián Rodríguez, Licenciado en Informática, egresado de
la Facultad de Informática, Universidad Nacional de La Plata. Es
docente del Taller de Tecnologías de Producción de Software:
Opción Ruby / Seminario de Lenguajes: Lenguaje C en la Facultad de
Informática de la UNLP y de Sistemas Distribuidos de la Maestría
Redes de Datos de la UNLP. Además, es Consultor de DataCenter en
Ministerio de Hacienda de Nación, Director de Tecnología en
Mikroways.

CAPACITACIÓN EN DEVOPS

 Fundamentos de Docker
<http://www.sadio.org.ar/lists/lt.php?id=Y00PBAsKCAMNBkVTVFQASVQPU1xX>
– Fecha de inicio: 4 de Julio de 2022. Más info
<http://www.sadio.org.ar/lists/lt.php?id=Y00PBAsKCAMNBkVTVFQASVQPU1xX>

 Fundamentos de Kubernetes
<http://www.sadio.org.ar/lists/lt.php?id=Y00PBAsKCAMNBUVTVFQASVQPU1xX>
 – Fecha de inicio: 15 de Agosto de 2022. Más info
<http://www.sadio.org.ar/lists/lt.php?id=Y00PBAsKCAMNBUVTVFQASVQPU1xX>

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IEEE AVSS 2022

April 12th, 2022 Daniela Lopez de Luise

* CALL FOR PAPERS *

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

AVSS 2022

The IEEE 18th International Conference on Advanced Video and Signal-Based Surveillance

29 November – 2 December, 2022

Both virtually and at Universidad Autonoma de Madrid (if allowed by the pandemic situation)

http://atvs.ii.uam.es/avss2022/index.html

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

 

AVSS-2022 is the 18th edition of the IEEE International Conference on Advanced Video and Signal-Based Surveillance, a premier forum for the presentation of new advances and research results in the field of video and signal-based surveillance. The goal is to provide a game-changing and cross-disciplinary forum that brings together experts from academia, industry, and government to advance the frontiers of theories, methods, systems, and applications.

 

AVSS-2022 is sponsored by the IEEE Computer Society (PAMI TC) and the IEEE Signal Processing Society.

 

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

KEYNOTE SPEAKERS

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

Previous AVSS editions include Rama Chellappa, Mubarak Shah, Xiaoming Liu, etc. (Still in progress for AVSS-2022.)

 

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

TECHNICAL PROGRAM

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

The program will feature various round tables and targeted sessions on industry-academia cooperation and research funding opportunities.

 

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

REGISTRATION

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

AVSS-2022 will be held under a virtual format but, if allowed by the pandemic situation, the opportunity of casual in-person interactions and discussions for a limited number of persons (40 ~ 50) joining physically at Universidad Autónoma de Madrid will be given.

 

Several registration options will be available, including discounts for students.

 

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

IMPORTANT DATES

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

June 30, 2022 – Paper Submission

September 20, 2022 – Decision to Authors

September 30, 2022 – Camera Ready

May 5, 2022 – Workshop Proposals

May 5, 2022 – Challenge Proposals

 

Kind regards,

AVSS 2022 Organizing Committee

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