CS 585 Lecture Materials

Lecture 1: Industry Successes and Research Opportunities

Computer Vision Successes

Machine Vision Inspection, e.g. Omron or Cognex, (Natick, MA)

Robotics:
Assembly line robots: ABB or Robots.com
Tour guide robots
Boston Dynamics Robots

Face Recognition: Critical 2020 Article.
Historic system from the 1996s, based on Alex Pentland and Matthew Turk's work: ViiSAGE
Now industry leader: NEC Face Recognition

Medical Image Analytics:
Picture Archiving and Communication Systems (PACS) for Hospitals: In 2017, IBM bought Merge Healthcare Inc (which bought Boston-based Amicas in 2010) and their PACS system.
IBM Watson Imaging Patient Synopsis: AI-enabled solutions for medical imaging
Microscopy image analysis, e.g., for embryology or human semen analysis, Proiser

Optical Character Recognition: Edit, convert, and compare scanned documents and "born-digital" PDFs

Intelligent Vehicles and Self-driving Cars:
MobileEye Lane Departure
Waymo Autonomous Ride-hailing Service
Cruise (GM) Driverless Cars
AutoX Selfdriving Cars
Self-driving Cars in San Francisco: Fire chief protests and street rebels immobilize driverless car.
Historic system: Betke et al., 1997: Highway Scene Analysis

Search by Image: Google, Boston University's Image Rover
Search by Video Google

Generating Images: Playground AI, DALL-E2 by OpenAI, Midjourney

Assistive Technologies: Camera Mouse 2018. New Camera Mouse 2024.

Interactive Retail Experiences & Museums: Sensing Place Interactive

Entertainment & Gaming: J Allard and the Xbox, controlling a humanoid robot with Microsoft Kinect.


Research Opportunities in Computer Vision

Colleagues at Boston University working on computer vision:

Image and Video Computing Research Group in CS: Betke, Plummer, Saenko and Sclaroff
New faculty members who will join IVC in 2024: Deepti Ghadiyaram and Boqing Gong
Visual Information Processing Lab: Konrad and Ishwar
Medical Image Analysis: Kolachalama Lab, Batman Lab

Some of my ongoing research projects:
AI-Aphasia Research, Group meetings, spring 2024, Wed 3-4 zoom
AI for Diagnosing Infant Pneumonia in Resource Limited Settings, spring 2024, Fri 9 am on zoom
Artificial Intelligence & Emerging Media (AIEM): Group meetings, spring 2024, Thu 9-10 EST on zoom (link managed by Ge Gao).
Computer Vision for Student Learning with Online Tutors: Weekly meetings, spring 2024, Mon 2-3 pm EST, zoom
Video-based interfaces for people with disabilities, Camera Mouse, Eye Tracking, spring 2024, Fri 1-2 pm. Zoom.
Pose estimation, spring 2024, Mon 12:15 pm. My zoom room.

Some of my past research projects:
Medical Image Analysis and Cancer detection
Cell image analysis
Group behavior of animals
Assistive technology

Some of my former research assistants, now highly successful in industry or academia:

Angshuman Bagchi: AI Tools & Business Software (Sigma Computing)
Danna Gurari: Computer Vision, Machine Learning, Human Computation, Assistive Technology (University of Colorado)
Mehrnoosh Sameki: Responsible AI Tools (Microsoft Azure AI)
Diane Theriault: Video Analysis of Group Behavior, 3D Tracking, Microscopy Imaging (Google)
Jingbin Wang: Artificial Intelligence Products (Google)
Zheng Wu: Selfdriving Cars (AutoX)


Margrit Betke, Professor
Computer Science Department
Boston University
URL: http://www.cs.bu.edu/faculty/betke