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Regalamos 20 entradas para Virtual Educa 2021
February 25th, 2021 
Daniela Lopez de Luise 
UADER Convocatoria 2021 – Becas de Iniciación a la Investigación
February 25th, 2021 Daniela Lopez de Luise Estimados/as docentes investigadores/as:
Se encuentra abierta la Convocatoria 2021 a Becas de Iniciación a la Investigación. Adjunto los archivos correspondientes para la presentación: ordenanza que reglamenta estas becas, formulario de solicitud, nota fijando domicilio legal y formulario para el informe académico de avance (en el caso de que se solicite renovación de la beca).
Los postulantes deberán enviar su documentación en formato digital al presente correo electrónico de la Secretaría de Investigación y Posgrado.
Esta convocatoria estará abierta hasta el viernes 19 de marzo.
A disposición para cualquier consulta.
Cordiales saludos.
Secretaría de Investigación y Posgrado
Facultad de Ciencia y Tecnología
UADER
Becas-de-Iniciacion-Convocatoria-2021.docx
ORD.-CS-No-104-Becas-Iniciacion.pdfWebinar ‘Gestión de proyectos nucleares’ ((miércoles 03-03, 18:00hs))
February 24th, 2021 Daniela Lopez de Luise Querido/as colegas, les hacemos llegar la invitación al encuentro Gestión de proyectos nucleares, organizado en el marco del vector Nuclear del Proyecto Vectores, en el que se abordará este tema tan importante para el sector
–por ejemplo, experiencias recientes en el desarrollo y construcción de centrales nucleares en Estados Unidos y Europa Occidental han mostrado múltiples deficiencias que provocaron grandes retrasos en tiempo y elevados sobrecostos (entre 100 y 200% del costo total original instalado)- así como para la ingeniería en general.
El disertante en este caso, así como lo fue en el encuentro sobre el accidente de Fukushima, es de lujo: el Ing. Oscar Mignone, especialista en suministro y construcción de plantas nucleares y ex vicepresidente del Grupo Enel, que estará realizando su presentación desde Italia.
Es un orgullo seguir adelante con la agenda de encuentros en temáticas estratégicas para el desarrollo de Argentina, en particular las que abordan desafíos de importancia central en dicho proceso como son los energéticos.
Más información e inscripción: http://www.fi.uba.ar/es/node/4250
Abrazos y nos vemos en el encuentro,
Ing. Luciano Cianci
Subsecretario de Relación con Graduados FIUBA
The 4th UG2 Workshop and Prize Challenge (CVPR 2021)
February 24th, 2021 Daniela Lopez de Luise The 4th UG2+ Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition.
In conjunction with CVPR 2021, June 19
Website: http://www.ug2challenge.org/
Contact: cvpr2021.ug2challenge@gmail.com
Track 1: Object Detection in Poor Visibility Environments [Register: https://forms.gle/Yf853QgPL5xCUy5k6]
A dependable vision system must reckon with the entire spectrum of complex unconstrained and dynamic degraded outdoor environments. It is highly desirable to study to what extent, and in what sense, such challenging visual conditions can be coped with, for the goal of achieving robust visual sensing.
Track 2: Action Recognition from Dark Videos [Register: https://forms.gle/qJZ7rdt44iMmBgci6]
Videos shot under adverse illumination are unavoidable, such as night surveillance, and self-driving at night. It is therefore highly desirable to explore robust methods to cope with dark scenarios. It would be even better if such methods could utilize web videos, which are widely available and normally shot under poor illumination.
Paper Track:
- Novel algorithms for robust object detection, segmentation or recognition on outdoor mobility platforms, such as UAVs, gliders, autonomous cars, outdoor robots, etc.
- Novel algorithms for robust object detection and/or recognition in the presence of one or more real-world adverse conditions, such as haze, rain, snow, hail, dust, underwater, low-illumination, low resolution, etc.
- The potential models and theories for explaining, quantifying, and optimizing the mutual influence between the low-level computational photography (image reconstruction, restoration, or enhancement) tasks and various high-level computer vision tasks.
- Novel physically grounded and/or explanatory models, for the underlying degradation and recovery processes, of real-world images going through complicated adverse visual conditions.
- Novel evaluation methods and metrics for image restoration and enhancement algorithms, with a particular emphasis on no-reference metrics, since for most real outdoor images with adverse visual conditions it is hard to obtain any clean “ground truth” to compare with.
Submission: https://cmt3.research.microsoft.com/UG2CHALLENGE2021
Important Dates:
- Paper submission: April 5, 2021 (11:59PM PST)
- Camera ready deadline: April 16, 2021 (11:59PM PST)
- Challenge result submission: May 1, 2021 (11:59PM PST)
- Winner Announcement: May 20, 2021 (11:59PM PST)
- CVPR Workshop: June 19, 2021 (Full day)
Speakers:
- Raquel Urtasun (University of Toronto, Uber ATG)
- Peyman Milanfar (Google Research)
- Chelsea Finn (Stanford University, Google)
- Stanley H. Chan (Purdue University)
- Yunchao Wei (University of Technology Sydney)
- Bihan Wen (Nanyang Technological University (NTU), Singapore)
- Sifei Liu (NVIDIA)
- Shanghang Zhang (University of California, Berkeley)
Organizers:
- Wuyang Chen (UT Austin)
- Zhangyang Wang (UT Austin)
- Vishal M. Patel (Johns Hopkins University)
- Jiaying Liu (Peking University)
- Walter J. Scheirer (University of Notre Dame)
- Danna Gurari (UT Austin)
- Wenqi Ren (Chinese Academy of Sciences)
- Shalini De Mello (NVIDIA)
- Wenhan Yang (City University of Hong Kong)
- Yuecong Xu (Nanyang Technological University, Singapore)
- Jianxiong Yin (NVIDIA AI Tech Center)
AI for Content Creation (AICC) Workshop @ CVPR 2021
February 24th, 2021 Daniela Lopez de Luise AI for Content Creation (AICC) Workshop @ CVPR 2021
Submissions due March 8th 2021 11:59 PST: https://cmt3.research.microsoft.com/AICC2021/
The AI for Content Creation (AICC) workshop at CVPR 2021 brings together researchers in computer vision, machine learning, and AI. Content creation has several important applications ranging from virtual reality, videography, gaming, and even retail and advertising. The recent progress of deep learning and machine learning techniques allows us to potentially turn hours of manual, painstaking content creation work into minutes or seconds of automated work. For instance, generative adversarial networks (GANs) have been used to produce photorealistic images of items such as shoes, bags, and other articles of clothing, interior/industrial design, and even computer games' scenes. Learned priors can also be combined with explicit geometric constraints, allowing for realistic and visually pleasing solutions to traditional problems such as novel view synthesis.
We call for papers (8 pages not including references) and extended abstracts (4 pages not including references) to be showcased in a poster session. Authors of accepted papers and extended abstracts will be asked to post their submissions on arXiv. To foster a free exchange of ideas, we will accept work in progress, work that has not been published elsewhere, and work that has been recently published elsewhere including at CVPR 2021.
We seek contributions on a variety of aspects on content creation, including:
– Image and video for enthusiast, VFX, architecture, advertisements, art
– 2D/3D graphic design
– Text and typefaces
– Design for documents, Web
– Fashion, garments, and outfits
– Novel applications and datasets
Tentative Speakers: Tali Dekel, Kristen Grauman, Matthias Niessner, Devi Parikh, Sergey Tulyakov, Raquel Urtasun, Ira Kemelmacher-Shlizerman, Jon Barron
Organizers: Deqing Sun, Sanja Fidler, Lu Jiang, Angjoo Kanazawa, Ming-Yu Liu, Cynthia Lu, Kalyan Sunkavalli, Weilong Yang, James Tompkin
Any questions, feel free to email me,
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