Apple sponsored the International Conference on Computer Vision (ICCV), which was held virtually from October 11 to 17.
Accepted Papers
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, Joshua Susskind
RetrievalFuse: Neural 3D Scene Reconstruction with a Database
Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Niessner, Angela Dai
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
Terrance DeVries, Miguel Angel Bautista Martin, Nitish Srivastava, Graham Taylor, Josh Susskind
DeepPRO: Deep Partial Point Cloud Registration of Objects
Donghoon Lee, Onur C. Hamsici, Steven Feng, Prachee Sharma, Thorsten Gernoth
Talks and Workshops
“Meet Apple” is an opportunity to learn more about our machine learning teams, working at Apple, and how to apply to full-time positions. This talk was held virtually on October 13 at 1:30 pm PDT.
Affinity Events
Apple sponsored LatinX in AI, which held a virtual workshop at ICCV on October 11.
Learn more about Apple’s company-wide efforts in inclusion and diversity.
Let's innovate together. Build amazing machine-learned experiences with Apple. Discover opportunities for researchers, students, and developers by visiting our Work With Us page
Related readings and updates.
DeepPRO: Deep Partial Point Cloud Registration of Objects
We consider the problem of online and real-time registration of partial point clouds obtained from an unseen real-world rigid object without knowing its 3D model. The point cloud is partial as it is obtained by a depth sensor capturing only the visible part of the object from a certain viewpoint. It introduces two main challenges: 1) two partial point clouds do not fully overlap and 2) keypoints tend to be less reliable when the visible part of…
See paper detailsCVPR 2021
Apple sponsored the annual conference of Computer Vision and Pattern Recognition (CVPR). The conference focuses on computer vision and its applications and took place virtually from June 19 to 25.
Discover opportunities in Machine Learning.
Our research in machine learning breaks new ground every day.