1. Justin Kerr - Google Scholar
This "Cited by" count includes citations to the following articles in Scholar. The ... Justin Kerr. PhD Student, UC Berkeley. Verified email at berkeley.edu ...
PhD Student, UC Berkeley - Cited by 1,106 - robotics - AI - vision
2. Justin Kerr - Google Scholar
This "Cited by" count includes citations to the following articles in Scholar. The ... Justin Kerr. Google. Verified email at google.com. ArticlesCited byPublic ...
Google - Cited by 713
3. Justin Kerr - Google Scholar
Justin Kerr. PhD Student, UC Berkeley. Na-verify na email sa berkeley.edu - Homepage · roboticsAIvision. Mga ArtikuloSinipi niPampublikong access ...
PhD Student, UC Berkeley - Sinipi ng 1,106 - robotics - AI - vision
4. Justin Kerr
I'm a 4th year PhD at Berkeley's AI Research Lab co-advised by Angjoo Kanazawa and Ken Goldberg. My work primarily involves 3D multi-modal reconstruction and ...
Justin Kerr
5. Justin Kerr - DBLP
25 apr 2024 · List of computer science publications by Justin Kerr.
List of computer science publications by Justin Kerr
6. Yahav Avigal
My research interests are in robotic grasping and motion planning in dynamic environments using deep learning. In my work I explore how to: transport objects ...
Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants
7. Angjoo Kanazawa - People @EECS - University of California, Berkeley
Justin Kerr (with Ken Goldberg) · Brent Yi (with Yi Ma) · Chung Min Kim (with Ken Goldberg); Visiting PhD student: Songwei Ge. 5th year MS students. David ...
My research lies at the intersection of computer vision, computer graphics, and machine learning. We live in a 3D world that is dynamic, full of life with people and animals interacting with the environment. How can we build a system that can capture, perceive, and understand this 4D world from everyday photograph and video? How can we learn priors on the 4D world from image and video observations? The goal of my lab is to answer this question.
8. Jeffrey Ichnowski, Ph.D.
Jeffrey Ichnowski, Ph.D. Assistant Professor. Robotics Institute. Carnegie Mellon University. jeffi@cmu.edu · Google Scholar.
COMP 781, Guest Lecture, Mar 5, 2019: This is a graduate level robotics course lecture on scaling motion planning computation to multi-core processors and the cloud. It presents the computational potential of multi-core processors and parallel algorithms that can scale to use that potential.
