Search Results for author: Alejandro Newell

Found 9 papers, 6 papers with code

Neural Point Light Fields

no code implementations CVPR 2022 Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide

We introduce Neural Point Light Fields that represent scenes implicitly with a light field living on a sparse point cloud.

Novel View Synthesis

Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline

3 code implementations9 Jun 2021 Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng

It also outperforms state-of-the-art methods on ScanObjectNN, a real-world point cloud benchmark, and demonstrates better cross-dataset generalization.

Point Cloud Classification

Revisiting Point Cloud Classification with a Simple and Effective Baseline

2 code implementations1 Jan 2021 Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng

It also outperforms state-of-the-art methods on ScanObjectNN, a real-world point cloud benchmark, and demonstrates better cross-dataset generalization.

3D Point Cloud Classification Classification +2

How Useful is Self-Supervised Pretraining for Visual Tasks?

2 code implementations CVPR 2020 Alejandro Newell, Jia Deng

We investigate what factors may play a role in the utility of these pretraining methods for practitioners.

Feature Partitioning for Efficient Multi-Task Architectures

no code implementations ICLR 2020 Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

Multi-task learning holds the promise of less data, parameters, and time than training of separate models.

Multi-Task Learning

Stacked Hourglass Networks for Human Pose Estimation

45 code implementations22 Mar 2016 Alejandro Newell, Kaiyu Yang, Jia Deng

This work introduces a novel convolutional network architecture for the task of human pose estimation.

Pose Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.