Search Results for author: Chi Li

Found 11 papers, 1 papers with code

UMSNet: An Universal Multi-sensor Network for Human Activity Recognition

no code implementations24 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.

Human Activity Recognition Time Series +2

Scalable and Deterministic Fabrication of Quantum Emitter Arrays from Hexagonal Boron Nitride

no code implementations4 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

K-stability and Fujita approximation

no code implementations18 Feb 2021 Chi Li

We derive a formula for non-Archimedean Monge-Amp\`{e}re measures of big models.

Algebraic Geometry Differential Geometry

Analytical approximations and Monge-Ampère masses of plurisubharmonic singularities

no code implementations31 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

Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces

no code implementations7 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.

Clustering

NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

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.

Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data

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.

Clustering Image Classification

A Unified Framework for Multi-View Multi-Class Object Pose Estimation

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.

Object Pose Estimation

Deep Supervision with Intermediate Concepts

no code implementations8 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.

Image Classification

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