no code implementations • 20 Jul 2023 • Alexander Liu
In this endeavor, we developed a comprehensive system that processes integrated visual features derived from video frames captured by a regular camera, along with depth details obtained from a point cloud scanner.
no code implementations • 30 Jul 2022 • Alexander Liu, Samuel Yang
As such, it calls for different pre-training methods for specific scenarios, and the pre-trained models are likely to be limited by their universality and representation quality.
1 code implementation • 1 Apr 2022 • Tri Dao, Beidi Chen, Nimit Sohoni, Arjun Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
To address these issues, we propose a class of matrices (Monarch) that is hardware-efficient (they are parameterized as products of two block-diagonal matrices for better hardware utilization) and expressive (they can represent many commonly used transforms).
no code implementations • 1 Dec 2021 • Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander Liu, David Harwath, James Glass, Hilde Kuehne, Mubarak Shah
We present a new multimodal capsule network that allows us to leverage the strength of capsules in the context of a multimodal learning framework on large amounts of video data.
no code implementations • CVPR 2021 • Mathew Monfort, SouYoung Jin, Alexander Liu, David Harwath, Rogerio Feris, James Glass, Aude Oliva
With this in mind, the descriptions people generate for videos of different dynamic events can greatly improve our understanding of the key information of interest in each video.
2 code implementations • ECCV 2020 • Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
Machine learning models are known to perpetuate and even amplify the biases present in the data.