In this episode, we discuss computer vision, distinguishing it from computer graphics, and delve into the challenges of 3D computer vision. We also examine the current state of autonomous driving research and discuss deepfakes.
We host two experts in the field:
Timestamps:
1:30: What initially drew you to the field you are currently in, and what continues to motivate you in your research?
6:35: Studying abroad
14:38: Why did you decide to go into industry instead of staying in academia?
20:02: What is computer vision (and the difference between computer vision and computer graphics) and what are some common applications of computer vision in today's world?
24:10: 3D computer vision and What needs to be “synthesized” to create a realistic scene?
27:09: Challenges in the filed
20:31: Current state of research in autonomous driving and challenges
42:50: Deepfakes
49:34: Emerging trends, open problems
56:18: Book recommendations and closing words
In this episode, we discuss computer vision, distinguishing it from computer graphics, and delve into the challenges of 3D computer vision. We also examine the current state of autonomous driving research and discuss deepfakes.
We host two experts in the field:
Timestamps:
1:30: What initially drew you to the field you are currently in, and what continues to motivate you in your research?
6:35: Studying abroad
14:38: Why did you decide to go into industry instead of staying in academia?
20:02: What is computer vision (and the difference between computer vision and computer graphics) and what are some common applications of computer vision in today's world?
24:10: 3D computer vision and What needs to be “synthesized” to create a realistic scene?
27:09: Challenges in the filed
20:31: Current state of research in autonomous driving and challenges
42:50: Deepfakes
49:34: Emerging trends, open problems
56:18: Book recommendations and closing words