no code implementations • 24 May 2022 • Jialiang Wang, Haotian Wei, Yi Wang, Shu Yang, Chi Li
Human activity recognition (HAR) based on multimodal sensors has become a rapidly growing branch of biometric recognition and artificial intelligence.
no code implementations • 4 Mar 2021 • Chi Li, Noah Mendelson, Ritika Ritika, Yong-Liang Chen, Zai-Quan Xu, Milos Toth, Igor Aharonovich
We demonstrate the fabrication of large-scale arrays of single photon emitters (SPEs) in hexagonal boron nitride (hBN).
Applied Physics Optics
no code implementations • 18 Feb 2021 • Chi Li
We derive a formula for non-Archimedean Monge-Amp\`{e}re measures of big models.
Algebraic Geometry Differential Geometry
no code implementations • 31 Dec 2020 • Chi Li
We construct examples of plurisubharmonic functions with isolated singularities at $0\in \mathbb{C}^n$, whose residual Monge-Amp\`{e}re masses at the origin can not be approximated by masses of analytic approximations obtained via multiplier ideals.
Complex Variables
no code implementations • 7 Jun 2020 • Chong You, Chi Li, Daniel P. Robinson, Rene Vidal
When the dataset is drawn from a union of independent subspaces, our method is able to select sufficiently many representatives from each subspace.
1 code implementation • CVPR 2019 • Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang
Feature correspondence selection is pivotal to many feature-matching based tasks in computer vision.
no code implementations • ECCV 2018 • Chong You, Chi Li, Daniel P. Robinson, Rene Vidal
Our experiments demonstrate that the proposed method outperforms state-of-the-art subspace clustering methods in two large-scale image datasets that are imbalanced.
no code implementations • ECCV 2018 • Chi Li, Jin Bai, Gregory D. Hager
To learn discriminative pose features, we integrate three new capabilities into a deep Convolutional Neural Network (CNN): an inference scheme that combines both classification and pose regression based on a uniform tessellation of the Special Euclidean group in three dimensions (SE(3)), the fusion of class priors into the training process via a tiled class map, and an additional regularization using deep supervision with an object mask.
no code implementations • 8 Jan 2018 • Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
In this work, we explore an approach for injecting prior domain structure into neural network training by supervising hidden layers of a CNN with intermediate concepts that normally are not observed in practice.
no code implementations • CVPR 2017 • Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
Monocular 3D object parsing is highly desirable in various scenarios including occlusion reasoning and holistic scene interpretation.
no code implementations • CVPR 2015 • Chi Li, Austin Reiter, Gregory D. Hager
In this paper, we formulate a probabilistic framework for analyzing the performance of pooling.