Search Results for author: Fei He

Found 14 papers, 3 papers with code

QueryProp: Object Query Propagation for High-Performance Video Object Detection

no code implementations22 Jul 2022 Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang

The proposed QueryProp contains two propagation strategies: 1) query propagation is performed from sparse key frames to dense non-key frames to reduce the redundant computation on non-key frames; 2) query propagation is performed from previous key frames to the current key frame to improve feature representation by temporal context modeling.

object-detection Video Object Detection

Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease

no code implementations10 Jun 2022 Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis

Cross-bispectrum, a higher-order spectral analysis, is used to measure the nonlinear FC and is compared with the cross-spectrum, which only measures the linear FC within bands.

Classification EEG

PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

1 code implementation CVPR 2022 Naiyu Gao, Fei He, Jian Jia, Yanhu Shan, Haoyang Zhang, Xin Zhao, Kaiqi Huang

To overcome these limitations, we propose a unified framework for the DPS task by applying a dynamic convolution technique to both the PS and depth prediction tasks.

Depth Estimation Depth Prediction +1

Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-frequency Phase Coupling

no code implementations20 Feb 2021 Bhavya Vasudeva, Runfeng Tian, Dee H. Wu, Shirley A. James, Hazem H. Refai, Fei He, Yuan Yang

Methods such as $n:m$ phase locking value and bi-phase locking value have previously been proposed to quantify phase coupling between two resonant frequencies (e. g. $f$, $2f/3$) and across three frequencies (e. g. $f_1$, $f_2$, $f_1+f_2$), respectively.

Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems

no code implementations LREC 2020 Fei He, Shan-Hui Cathy Chu, Oddur Kjartansson, Clara Rivera, Anna Katanova, Alex Gutkin, er, Isin Demirsahin, Cibu Johny, Martin Jansche, Supheakmungkol Sarin, Knot Pipatsrisawat

We present free high quality multi-speaker speech corpora for Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu, which are six of the twenty two official languages of India spoken by 374 million native speakers.

Speech Synthesis

Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech

no code implementations LREC 2020 Adriana Guevara-Rukoz, Isin Demirsahin, Fei He, Shan-Hui Cathy Chu, Supheakmungkol Sarin, Knot Pipatsrisawat, Alex Gutkin, er, Alena Butryna, Oddur Kjartansson

In this paper we present a multidialectal corpus approach for building a text-to-speech voice for a new dialect in a language with existing resources, focusing on various South American dialects of Spanish.

Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking

no code implementations19 Mar 2020 Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, Ngoc Mai Tran, Chong Xie

Across many areas, from neural tracking to database entity resolution, manual assessment of clusters by human experts presents a bottleneck in rapid development of scalable and specialized clustering methods.

Entity Resolution Model Selection +1

Fast OBDD Reordering using Neural Message Passing on Hypergraph

no code implementations6 Nov 2018 Feifan Xu, Fei He, Enze Xie, Liang Li

Ordered binary decision diagrams (OBDDs) are an efficient data structure for representing and manipulating Boolean formulas.

Doubly Robust Data-Driven Distributionally Robust Optimization

no code implementations19 May 2017 Jose Blanchet, Yang Kang, Fan Zhang, Fei He, Zhangyi Hu

Data-driven Distributionally Robust Optimization (DD-DRO) via optimal transport has been shown to encompass a wide range of popular machine learning algorithms.

Beyond $χ^2$ Difference: Learning Optimal Metric for Boundary Detection

no code implementations4 Jun 2014 Fei He, Shengjin Wang

To improve the performance of boundary detection, a Learning-based Boundary Metric (LBM) is proposed to replace $\chi^2$ difference adopted by the classical algorithm mPb.

Boundary Detection BSDS500

Seeing the Big Picture: Deep Embedding with Contextual Evidences

no code implementations1 Jun 2014 Liang Zheng, Shengjin Wang, Fei He, Qi Tian

Specifically, the Convolutional Neural Network (CNN) is employed to extract features from regional and global patches, leading to the so-called "Deep Embedding" framework.

Image Classification Image Retrieval +1

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