Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Deep Learning for Computer Vision: Closing (UPC 2016)

1,137 views

Published on

http://imatge-upc.github.io/telecombcn-2016-dlcv/

Deep learning technologies are at the core of the current revolution in artificial intelligence for multimedia data analysis. The convergence of big annotated data and affordable GPU hardware has allowed the training of neural networks for data analysis tasks which had been addressed until now with hand-crafted features. Architectures such as convolutional neural networks, recurrent neural networks and Q-nets for reinforcement learning have shaped a brand new scenario in signal processing. This course will cover the basic principles and applications of deep learning to computer vision problems, such as image classification, object detection or text captioning.

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Deep Learning for Computer Vision: Closing (UPC 2016)

  1. 1. Day 5 Closing [course site]
  2. 2. 2 Computer vision is large scale deployed... ...is because they have learned to see. Learning only to see ?
  3. 3. Learning only to see ? Nexi, del MIT Media Lab (Foto: Spencer Lowel) 3
  4. 4. Big data Internet of things - IoT Learning only to see ? 4
  5. 5. Personal data Big data Learning only to see ? 5
  6. 6. Atlas, de Boston Dynamics Robust manipulation and motion Learning only to see ? 6
  7. 7. Playing with other computers Learning only to see ? Mnih, Volodymyr, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. "Playing atari with deep reinforcement learning." arXiv preprint arXiv:1312.5602 (2013). DeepMind 7
  8. 8. Playing with humans AlphaGo (Google DeepMind) Learning only to see ? 8
  9. 9. Autonomous Driving Google Self-driving car Learning only to see ? 9
  10. 10. Google Research, “Going deeper into neural networks” - DeepDream (2015) Learning only to see ? 10 Visual arts
  11. 11. Google Research, “Going deeper into neural networks” - DeepDream (2015) Visual arts Only open their eyes ? 11
  12. 12. http://turing.deepart.io/ Visual arts Learning only to see ? 12
  13. 13. Music composition Manuel Araoz, “Training a Recurrent Neural Network to Compose Music” (2016). Learning only to see ? 13
  14. 14. Poetry Ross Goodwin, Neuralsnap (2016). Learning only to see ? 14
  15. 15. “Scripts” (!?) Darknet JON He leaned close and onions, barefoot from his shoulder. "I am not a purple girl," he said as he stood over him. "The sight of you sell your father with you a little choice." "I say to swear up his sea or a boy of stone and heart, down," Lord Tywin said. "I love your word or her to me." Learning only to see ? 15
  16. 16. “Scripts” (!?) Learning only to see ? 16 Ars Technica, “Movie written by algorithm turns out to be hilarious and intense” (2016)
  17. 17. Public Health Announcement of Google DeepMind Health (24/02/2016) Learning only to see ? 17
  18. 18. Nacho Hernandez, “Why artificial intelligence will democratize healthcare” (TEDx Talk, 2014) Public health Learning only to see ? 18
  19. 19. Nancy Lublin, “The heartbreaking text that inspired a crisis helpline” (TED Talk 2015) Mental health Learning only to see ? 19
  20. 20. Psychological support and counseling ? Learning only to see ? 20
  21. 21. 21 Affective computing Rana el Kalioubi, “This app know how you feel, from the look on your face”, TEDTalks 2015. Learning only to see ?
  22. 22. 22 Nexi Project, from MIT Media Lab (Photos: Spencer Lowel) [video] Affective computing Learning only to see ?
  23. 23. “Google’s chairman (Eric Schmidth) thinks artificial intelligence will let scientists solve some of the world’s "hard problems," like population growth, climate change, human development, and education.” (Bloomberg Business, 11/01/2016) [+info @ MIT Technology Review] Artificial intelligence 23
  24. 24. Google’s CEO Sundar Pichai: “Era Of Computers Will End Very Soon, AI Will Rule” (Fossbytes, 03/05/2016) Artificial intelligence 24
  25. 25. Jeremy Howard, “The wonderful and terrifying implications of computers that can learn”, TEDTalks 2014. Artificial intelligence 25
  26. 26. Artificial intelligence Stephen Hawking, “Artificial intelligence could spell out the human race.” (2014) 26
  27. 27. Artificial intelligence 27
  28. 28. Elon Musk (Tesla), one of OpenAI promoters Artificial intelligence 28 Andrej Karpathy
  29. 29. Neil Lawrence, OpenAI won’t benefit humanity without open data sharing (The Guardian, 14/12/2015) Phd Comics: Who owns your data ? (Hint: it is not you) Artificial intelligence 29
  30. 30. 30 Artificial intelligence
  31. 31. 31 Xavier Sala-i-Martin (Columbia University), “Les conclusions del Fòrum de Davos” (TV3, 03/02/2016) - in Catalan Carles Boix (Princeton University), “La quarta revolució industrial” (Diari Ara, 08/02/2016) - in Catalan Artificial intelligence
  32. 32. 32 Artificial intelligence The White House: “How to prepare the future for the Future Intelligence”
  33. 33. Artificial intelligence Open question: in which jobs will robots replace humans first ? 33
  34. 34. Learn more From 24 to 31 January 2017 (10:00-14:00) 34 Deep Learning for Speech and Language ? https://telecombcn-dl.github.io/2017-dlsl/
  35. 35. Learn more June/July 2017 ● Course content will be updated with the latest advances. ● Current BSc students enrolled in MSc program can do the project. ● Second edition will be bettter (and worse than the third one). 35
  36. 36. Learn more (for BSc students) 36 http://pagines.uab.cat/mcv/ Master MET
  37. 37. 37 Learn more ● Reading Group with public listing of videos, slides and papers. ● E-mail to xavier.giro@upc.edu if you want to join in Fall 2016.
  38. 38. Learn more [Website] Consider extending your project to a workshop paper (not announced yet) and apply for some volunteer opportunities for free registration. Also: specific workshop and social event for Women in Machine Learning 38
  39. 39. 39 Learn more http://cs231n.stanford.edu/
  40. 40. Learn more with Nat & Lo 20% Google Project: Learn more 40
  41. 41. 41 ? Learn more
  42. 42. 42 Learn more “Machine learning” sub-Reddit.
  43. 43. 43 Learn more
  44. 44. 44 Learn more Grup d’estudi de machine learning Barcelona
  45. 45. BSc, MSc & Phd @ UPC 45
  46. 46. BSc, MSc & Phd @ UPC 46 ● Language and Vision New visual Turing test
  47. 47. BSc, MSc & Phd @ UPC 47 ● Saliency vs Attention
  48. 48. BSc, MSc & Phd @ UPC 48 ● Image and Video Retrieval
  49. 49. BSc, MSc & Phd @ UPC 49 ● Wearables & Egocentric Vision
  50. 50. BSc, MSc & Phd @ UPC 50 ● Affective Computing CNN
  51. 51. BSc, MSc & Phd @ UPC 51 ● Medical Imaging
  52. 52. BSc, MSc & Phd @ UPC 52 ● Multimodal People Recognition
  53. 53. BSc, MSc & Phd @ DCU - Insight 53
  54. 54. Eva Mohedano Prof Noel O’Connor Dublin City University Insight Centre for Data Analytics BSc, MSc & Phd @ DCU - Insight Kevin McGuinnes 54
  55. 55. BSc, MSc & Phd @ DCU - Insight 55
  56. 56. 56

×