ETH Zürich
https://apply.refline.ch/845721/7118/pub/1/index.html

The computer vision group at Columbia is looking for a postdoctoral fellow. Come wrangle pixels with us in the big city. More info:
http://www.cs.columbia.edu/~vondrick/postdoc2019.pdf

ارائه آشنایی با پردازش تنسوری مبتنی بر رایانش ابری گوگل برای یادگیری عمیق
حضور برای عموم آزاد و رایگان است
شنبه 4 خرداد ساعت 12:15
دانشکده کامپیوتر پلی تکنیک

Separate the generation and confirmation of hypotheses:
Come up with an exciting research question
Write a paper proposal without confirmatory experiments
After the paper is accepted, run the experiments and report your results
https://preregister.vision/

لینک جدید گروه:

https://www.tg-me.com/joinchat-A3HTSj3_zWMqpGQbN10ivw

فیلم آموزشی یادگیری عمیق (به همراه کد تخفیف)



تیزر 5 دقیقه ای #فیلم_آموزشی یادگیری عمیق در Python و Keras :

http://aparat.com/v/Cv2fR


دو ساعت و نیم نخست دوره آموزشی Deep Learning برای ارزیابی خریداران:

http://aparat.com/v/0xgm5

مشاهده ی تیز با کیفیت بالاتر

کد تخفیف به مناسبت عید فطر (تا شنبه):

Eid-e-Fetr

اطلاعات بیشتر و خرید:
http://class.vision/deeplearning-keras/

FIRST INTERNATIONAL WORKSHOP ON LARGE SCALE HOLISTIC VIDEO UNDERSTANDING
In Conjunction with ICCV 2019, Seoul, Korea

https://holistic-video-understanding.github.io/workshops/iccv2019.html

In the last years, we have seen a tremendous progress in the capabilities of computer systems to classify video clips taken from the Internet or to analyze human actions in videos. There are lots of works in video recognition field focusing on specific video understanding tasks, such as, action recognition, scene understanding, etc. There have been great achievements in such tasks, however, there has not been enough attention toward the holistic video understanding task as a problem to be tackled. Current systems are expert in some specific fields of the general video understanding problem. However, for real world applications, such as, analyzing multiple concepts of a video for video search engines and media monitoring systems or providing an appropriate definition of the surrounding environment of an humanoid robot, a combination of current state-of-the-art methods should be used. Therefore, in this workshop we intend to introduce the holistic video understanding as a new challenge for the video understanding efforts. This challenge focuses on the recognition of scenes, objects, actions, attributes, and events in the real world user generated videos. To be able to address such tasks, we also introduce our new dataset named Holistic Video Understanding~(HVU dataset) that is organized hierarchically in a semantic taxonomy of holistic video understanding. Almost all of real-wold conditioned video datasets are targeting human action or sport recognition. So our new dataset can help the vision community and bring more attention to bring more interesting solutions for holistic video understanding. The workshop is tailored on bringing together ideas around multi-label and multi-task recognition of different semantic concepts in the real world videos. And the research efforts can be tried on our new dataset.

Speakers: Rahul Sukthankar (Google AI), Kristen Grauman (U of Texas at Austin), Carl Vondrick (Columbia U.), Manohar Paluri (Facebook AI)

Organizers: Vivek Sharma, Mohsen Fayyaz, Ali Diba, Luc Van Gool, Juergen Gall, Rainer Stiefelhagen, Manohar Paluri

Sponsors: Facebook AI Research, Sensifai

Holistic Video Understanding is a joint project of the KU Lueven, University of Bonn, KIT, ETH, and the HVU team.

فراخوان دعوت به ارائه بحث و/یا کارگاه

دانشگاه صنعتی امیرکبیر در نظر دارد سمپوزیوم تابستانه هوش مصنوعی در زمینه های مختلف مرتبط با این حوزه را در هفته آخر تیر و هفته اول مرداد 1398 برگزار کند.

لذا از آن دسته از عزیزانی که مایل به ارائه بحث و/یا کارگاه هستند دعوت می شود پیشنهاد خود را در قالب فرم ارائه شده و به همراه رزومه ارائه دهنده(ها) حداکثر تا تاریخ 24 خرداد 1398 با عنوان ایمیل AAISS Application به آدرس [email protected] ارسال نمایند.

#Symposium #AI
#Tehran #AUT

A very efficient neural network architecture can be designed based on the Fast Fourier Transform (FFT) algorithm.
Butterfly Transform: An Efficient FFT Based Neural Architecture Design

https://arxiv.org/pdf/1906.02256.pdf

لینک جدید گروه:

https://www.tg-me.com/joinchat-A3HTSj3_zWNXN0oApJf8rg

PyRobot is a framework and ecosystem that enables AI researchers and students to get up and running with a robot in just a few hours, without specialized knowledge of the hardware or of details such as device drivers, control, and planning. PyRobot will help Facebook AI advance our long-term robotics research, which aims to develop embodied AI systems that can learn efficiently by interacting with the physical world. We are now open-sourcing PyRobot to help others in the AI and robotics community as well.

https://ai.facebook.com/blog/open-sourcing-pyrobot-to-accelerate-ai-robotics-research/
https://github.com/facebookresearch/pyrobot
https://www.pyrobot.org/

List of the program committee of the Holistic Video Understanding Workshop in ICCV 2019:

Cees Snoek (UvA)

Mubarak Shah (UCF)

Jan van Gemert (TU Delft)

Ivan Laptev (INRIA)

Dima Damen (University of Bristol)

Du Tran (Facebook Research)

Hilde Kuehne (MIT-IBM Watson Lab)

Angela Yao (National University of Singapore)

Jakub Tomczak (Qualcomm AI Research)

Hakan Bilen (University of Edinburgh )

Noureldien Hussein (UvA)

Silvia-Laura Pintea (TU Delft)

Jack Valmadre (University of Oxford)

Suman Shah (ETH Zürich)

Efstratios Gavves (UvA)

Hamed Pirsiavash (UMBC)

Christoph Feichtenhofer (Facebook Research)

Chen Huang (Apple)

Makarand Tapaswi (INRIA)

Limin Wang (Nanjing University)

Tinne Tuytelaars (KU Leuven)

Saquib Sarfraz (KIT)

Yale Song (Microsoft Cloud & AI)

Miguel Angel Bautista (Apple)

David Ross (Google Research)

Sourish Chaudhuri (Google Research)

Chen Sun (Google Research)

Joao Carreira (Google Deepmind)

Andrew Owens (UC Berkley)

Basura Fernando (A*STAR Singapore)

Matt Feiszli (Facebook Research)

Philippe Weinzaepfel (NAVER Labs)

Josh Susskind (Apple)

Ross Goroshin (Google Brain)

https://holistic-video-understanding.github.io/workshops/iccv2019.html

A short note on "VideoBERT: A Joint Model for Video and Language Representation Learning"

By Chen Sun, Ausin Myers, @cvondrick, Kevin Murphy and Cordelia Schmid


https://twitter.com/yassersouri/status/1144283614953267201?s=19

A short note on "Deep Set Prediction Networks"

By: Yan Zhang et. al.
https://twitter.com/yassersouri/status/1146066000669896705

Amirkabir Artificial Intelligence Summer Summit (AAISS)

Advanced Topics in Machine Learning, Deep Leraning and, Neurosciences.

More information about Topics and Schedule coming soon...

Please inform your friends and colleagues

Follow us on social networks using #AAISS

#July2018
#Symposium #AI #Artificial_Intelligence #Machine_Learning #Machine_Vision #Speech #Deep_Learning #Neurosciences #AAISS
#Tehran #AUT #CEIT
@ceit_ssc
@convent

📌 ثبت نام سمپوزیوم تابستانه هوش مصنوعی امیرکبیر شروع شد. مباحث پیشرفته یادگیری ماشین، بینایی ماشین، پردازش صوت، یادگیری عمیق و علوم اعصاب

⚠️ ظرفیت ثبت نام محدود. مهلت ثبت نام تا یکشنبه 30 تیر 1398

🎓 همراه با پذیرایی و اعطای گواهی معتبر

🗓 1 تا 3 مرداد، آمفی تئاتر مرکزی دانشگاه صنعتی امیرکبیر

#مرداد1398
#July2019
#Symposium #AAISS
#Tehran #AUT #CEIT
aaiss.ceit.aut.ac.ir
@ceit_ssc
@convent

Holistic Large Scale Video Understanding - Towards Data Science
https://towardsdatascience.com/holistic-large-scale-video-understanding-c423701b777a

🔗 هم اکنون، پخش زنده سمپوزیوم هوش مصنوعی امیرکبیر از طریق لینک زیر.
⚠️ توجه: در صورتی که برای اتصال با اینترنت شبکه های دانشگاهی مشکل داشتید از VPN استفاده کنید.
http://lahzenegar.com/ceit_ssc/live
https://www.tg-me.com/convent/3840
@convent