Ikigai

IKIGAI MÁS ALLÁ DE LA PANDEMIA
Agendate todos los jueves de noviembre para un espacio de reflexión y
crecimiento!
Te invitamos a disfrutar de 4 encuentros con expositores
latinoamericanos para reflexionar sobre cómo las situaciones de crisis
y cambio pueden ser oportunidades, en un espacio organizado por REN
GLOBAL – Red Nikkei Global
Entrada libre por Zoom
https://us06web.zoom.us/j/88322747204

Transmisión en nuestro canal de YouTube
https://www.youtube.com/channel/UCCZ1iFXvrabBkeUsfePmgAg

2nd Int. Conf. on Image Processing and Vision Engineering :: Submission Deadline – 30th of November

2nd International Conference on Image Processing and Vision Engineering

 **Submission Deadline: November 30, 2021**

 https://improve.scitevents.org/

April 22 – 24, 2022

Online Streaming

 Dear Colleagues,

Given the uncertainties of the current international situation, including constraints on traveling, logging and large gatherings we have decided to convert the conference completely into a web-based event.

As a consequence of this change, we have strongly reduced the registration fees, so we would like to invite you to contribute and submit your original research paper to IMPROVE 2022.

 IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas.

 Conference Chair

Sebastiano Battiato, University of Catania, Italy

Program Chair(s)

Francisco Imai, Apple Inc., United States

Cosimo Distante, CNR, Italy

 

With the presence of internationally distinguished keynote speakers:

Jiri Matas, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic

Michael Bronstein, Imperial College London, United Kingdom

 

Proceedings will be submitted for indexation by:

SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index.

 

A short list of presented papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal.

All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library.

 

Kind regards,

Monica Saramago

IMPROVE Secretariat

Web: http://improve.scitevents.org

e-mail: improve.secretariat@insticc.org

 

ICIAP21 CALL FOR TUTORIALS 23-24, MAY 2022 LECCE, ITALY

ICIAP 2021 CALL FOR TUTORIALS
23-27, MAY 2022  LECCE, ITALY – https://www.iciap2021.org/

The 21th International Conference on IMAGE ANALYSIS AND PROCESSING
(ICIAP 2021) to be held in Lecce, Italy will host tutorials on topics
related to research in Computer Vision, Machine Learning, Image
Processing, Medical Imaging and related fields. Tutorials will take
place on May 23-24 2022 with both half (max 4 hours) and full day (max
8 hours) options. Tutorial topics should be relevant to the current
state of the art in the research area of interest and providing surveys
and new perspective to current trends in our field. Attendance will be
mainly based by graduated students and experts in the field from both
academic and industry sectors.

Important Dates:
Tutorial proposal deadline: January 21st, 2022
Acceptance notification: January 31st, 2022

Instructions:
Tutorial proposals should be submitted via the following form:

https://forms.gle/CezHeqRjmiUupkk99

by completing all the following information:

– Tutorial title and length (half or full day)
– Organisers' names, titles, affiliations and email contact
– A short bio + picture of the tutorial's presenters
– An abstract of the tutorial (max 300 words)
– A summary of the tutorial together with a syllabus of the topics
– Previous experience in tutorial organisation and presentation (provide
links to previous tutorials)

The proposals will be evaluated by the tutorial chair and the conference
organiser based on their technical quality, relevance and timeliness of
the topic and quality of the proposal. For any further information
please contact: tutorials@iciap2021.org

NEXT WEEK: New Approaches to 3D Vision, 1st-4th Nov 2021, Royal Society online meeting

NEXT WEEK: NEW APPROACHES TO 3D VISION, 1st-4th November 2021, hosted by the Royal Society 

This Royal Society online meeting brings together researchers from computer vision, animal vision, and human vision to explore recent developments in 3D vision. Speakers reflect both academia and industry, with representatives from DeepMind, Facebook Reality Labs, Google, and Microsoft Research.

Date/Time: 1st-4th November 2021, 3-6pm (3-6:30pm on the 4th), UK Time
Please note that the USA/UK time difference is 1hr less than usual

DAY ONE (1st Nov) – Seeing Beyond SLAM
Chair: Andrew Fitzgibbon (Microsoft)
Session One: Neural Scene Representation
SM Ali Eslami (DeepMind): “Neural priors, neural encoders and neural renderers”
Ida Momennejad (Microsoft Research): “Multi-scale predictive representations and human-like RL”
Session Two: Perception-Action Loop
Sergey Levine (UC Berkeley and Google): “Generalization in data-driven control”
Andrew Glennerster (University of Reading): “Understanding 3D vision as a policy network”
DAY TWO (2nd Nov) – Animals in Action 
Chair: Matteo Carandini (University College London)
Session One: Locating Prey and Rewards
Jenny Read (Newcastle University): “Stupid stereoscopic algorithms that still work”
Aman Saleem (University College London): “Visual processing in the brain during navigation”
Session Two: Navigation in 3D Space
Kate Jeffery (University College London): “The cognitive map of 3D space: not as metric as we thought?”
Gily Ginosar (Weizmann Institute of Science): “Locally ordered representation of 3D space in the entorhinal cortex” 
DAY THREE (3rd Nov) – Experiencing Space
Chair: Mar Gonzalez-Franco (Microsoft Research)
Session One: Theories of Visual Space
Dhanraj Vishwanath (University of St Andrews): “Tripartite encoding of visual 3D space”
Paul Linton (City, University of London): “New approaches to visual scale and visual shape”
Session Two: Challenges for Virtual Reality
Sarah Creem-Regehr (University of Utah): “Perception and Action in Virtual and Augmented Reality”

Douglas Lanman (Facebook Reality Labs): “Engineering challenges for realistic displays”
DAY FOUR (4th Nov) – Grasping the World
Chair: Jody Culham (Western University)
Session One: One Visual Stream or Two?
Fulvio Domini (Brown University): “A novel non-probabilistic model of 3D cue integration explains both perception and action”
Irene Sperandio (University of Trento): “Dissociations between perception and action in size-distance scaling”
Session Two: 3D Space and Visual Impairment
Ione Fine (University of Washington): “Do you hear what I see? How do early blind individuals experience object motion?”

Ewa Niechwiej-Szwedo (University of Waterloo): “The role of binocular vision in the development of visuomotor control and performance of fine motor skills”
Session Three: Panel Discussion
Andrew Fitzgibbon (Microsoft), Matteo Carandini (University College London), Mar Gonzalez-Franco (Microsoft Research), and Jody Culham (Western University), share their thoughts on the future of 3D vision with an interactive Question and Answer session.
Organisers: Michael Morgan FRS (City, University of London), Paul Linton (City, University of London), Jenny Read (Newcastle University), Dhanraj Vishwanath (University of St Andrews), Sarah Creem-Regehr (University of Utah), Fulvio Domini (Brown University)

HPIV@WACV2022 Deadline Approaching

CALL FOR PAPERS: WACV 2022 Workshop on Hazard Perception in
Intelligent Vehicles.
https://ardhendubehera.github.io/HPIV/

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.

Important dates:
* Submission Deadline: Oct 31 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 Ming C Lin (University of Maryland, USA)
Prof C. V. Jawahar (International Institute of Information Technology,
Hyderabad, India)
Dr Arjun Jain, Co-Founder and CEO – UAVIO Labs

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

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)

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