no code implementations • 21 Nov 2022 • Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu, Jie Tang, Na An, Shaoshan Liu, Xue Liu
Also, through the AICOM-MP project, we have generalized a methodology of developing health AI technologies for AMCs to allow universal access even in resource-constrained environments.
no code implementations • CVPR 2022 • Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas Funkhouser, Vittorio Ferrari
The goal of this work is to perform 3D reconstruction and novel view synthesis from data captured by scanning platforms commonly deployed for world mapping in urban outdoor environments (e. g., Street View).
no code implementations • 29 Sep 2021 • Andrew Liu, Jacky Y. Zhang, Nishant Kumar, Dakshita Khurana, Oluwasanmi O Koyejo
Federated averaging, the most popular aggregation approach in federated learning, is known to be vulnerable to failures and adversarial updates from clients that wish to disrupt training.
1 code implementation • CVPR 2022 • Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
Crucially, SFM also produces sparse 3D points that can be used as "free" depth supervision during training: we add a loss to encourage the distribution of a ray's terminating depth matches a given 3D keypoint, incorporating depth uncertainty.
no code implementations • CVPR 2021 • Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely
We present a framework for automatically reconfiguring images of street scenes by populating, depopulating, or repopulating them with objects such as pedestrians or vehicles.
no code implementations • 27 Mar 2021 • Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze
Quantization is a key technique to reduce the resource requirement and improve the performance of neural network deployment.
no code implementations • 23 Mar 2021 • Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks.
1 code implementation • ICCV 2021 • Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa
We introduce the problem of perpetual view generation - long-range generation of novel views corresponding to an arbitrarily long camera trajectory given a single image.
no code implementations • ECCV 2020 • Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely
We propose a learning-based framework for disentangling outdoor scenes into temporally-varying illumination and permanent scene factors.
no code implementations • 25 Sep 2019 • Daniel Li, Qiang Ma, Andrew Liu, Justin Cheung, Dana Pe’er, Itsik Pe’er
Cell-cell interactions have an integral role in tumorigenesis as they are critical in governing immune responses.
3 code implementations • ECCV 2018 • Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros
In this paper, we propose a learning algorithm for detecting visual image manipulations that is trained only using a large dataset of real photographs.