Webinar: Efficient Generative AI for images and video

On demand

With a text prompt and a click of a button you can now generate brand new 2D images, 3D images, and even videos. But at what cost? While this technology has great potential, it faces challenges because the machine learning models have high computation, large memory costs, and low flexibility. As generative AI adoption grows at record-setting speeds, running it efficiently on device is key, as it brings with it advantages in cost, performance, energy, personalization, and privacy.

In this webinar, you will find out:

  • Why generative vision has a great potential in image & video editing/creation across enterprise, entertainment, XR, and automotive.​
  • Why efficient generative vision is important.
  • What can be achieved with state-of-the-art techniques from Qualcomm AI Research, such as Clockwork, Token Merging, and N-to-3.

Qualcomm AI Research is an initiative of Qualcomm Technologies Inc.

Overview

September 17th: Day 1 – Keynote & Presentations 8:00am-4:00pm
Location: Qualcomm – N Auditorium 5775 Morehouse Drive, San Diego, CA

September 17th: 4:30pm-6:30pm: Networking Meetings & Reception
Location: La Jolla Marriott 4240 La Jolla Drive, San Diego, CA

September 18th: Day 2: 8:30am – 12:30pm Presentations & Meetings
Location: La Jolla Mariott 4240 La Jolla Drive, San Diego, CA

Highlights

Opening Keynote:
Qualcomm EVP, Engineering & CTO Jim Thompson

The Internet of Things – Challenges and Opportunities:
Qualcomm Technologies SVP & GM, IoT Jeff Lorbeck

Industry 4.0/5G and Smart Cities:
Qualcomm Technologies VP, Business Development Jeffery Torrance

Qualcomm Smart Cities Accelerator Program:
Qualcomm Technologies Sr. Director, Business Development, Head of Smart Cities Sanjeet Pandit
Industry Panel:
Smart Cities Deployments: Experiences and Learnings

Industry Panel:
5G/Industry 4.0/Auto: Future Smart Spaces

City Panel:
Use Cases

Speakers

Amirhossein Habibian
Amirhossein Habibian

Director of Engineering, Qualcomm AI Research
Amirhossein Habibian currently serves as Director of Engineering at Qualcomm AI Research in Amsterdam, focusing on the development of efficient generative models for images and video. He earned his Ph.D. from the University of Amsterdam in 2016, working on learning multimodal video representations. Amir received the Best Paper Award at ACM Multimedia 2014, the Best Paper Award at ASCI 2015, and winning the TRECVID video search challenge in 2014 and 2015. Since joining Qualcomm in 2015, he has contributed to the development of efficient neural architectures across various domains, including video compression, object detection, semantic segmentation, denoising, and super-resolution. His research findings have been disseminated in computer vision conferences such as CVPR, ICCV and ECCV.

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