Search Results for author: ShengMei Shen

Found 12 papers, 5 papers with code

DAMSL: Domain Agnostic Meta Score-based Learning

1 code implementation6 Jun 2021 John Cai, Bill Cai, ShengMei Shen

In this paper, we propose Domain Agnostic Meta Score-based Learning (DAMSL), a novel, versatile and highly effective solution that delivers significant out-performance over state-of-the-art methods for cross-domain few-shot learning.

cross-domain few-shot learning Transfer Learning

Speaker-Utterance Dual Attention for Speaker and Utterance Verification

no code implementations20 Aug 2020 Tianchi Liu, Rohan Kumar Das, Maulik Madhavi, ShengMei Shen, Haizhou Li

The proposed SUDA features an attention mask mechanism to learn the interaction between the speaker and utterance information streams.

Speaker Verification

Efficient High-Dimensional Data Representation Learning via Semi-Stochastic Block Coordinate Descent Methods

no code implementations25 Sep 2019 Bingkun Wei, Yangyang Li, Fanhua Shang, Yuanyuan Liu, Hongying Liu, ShengMei Shen

To address this issue, we propose a novel hard thresholding algorithm, called Semi-stochastic Block Coordinate Descent Hard Thresholding Pursuit (SBCD-HTP).

Face Recognition Representation Learning

Cross-Resolution Face Recognition via Prior-Aided Face Hallucination and Residual Knowledge Distillation

2 code implementations26 May 2019 Hanyang Kong, Jian Zhao, Xiaoguang Tu, Junliang Xing, ShengMei Shen, Jiashi Feng

Recent deep learning based face recognition methods have achieved great performance, but it still remains challenging to recognize very low-resolution query face like 28x28 pixels when CCTV camera is far from the captured subject.

Face Hallucination Face Recognition +2

Detecting The Objects on The Road Using Modular Lightweight Network

no code implementations16 Nov 2018 Sen Cao, Yazhou Liu, Pongsak Lasang, ShengMei Shen

In order to solve this problem, majority of existing methods utilize complicated network or bigger image size, which generally leads to higher computation cost.

object-detection Object Detection

Person re-identification with fusion of hand-crafted and deep pose-based body region features

no code implementations27 Mar 2018 Jubin Johnson, Shunsuke Yasugi, Yoichi Sugino, Sugiri Pranata, ShengMei Shen

Person re-identification (re-ID) aims to accurately re- trieve a person from a large-scale database of images cap- tured across multiple cameras.

Metric Learning Person Re-Identification

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

2 code implementations16 Oct 2017 Wei Gao, David Hsu, Wee Sun Lee, ShengMei Shen, Karthikk Subramanian

How can a delivery robot navigate reliably to a destination in a new office building, with minimal prior information?

Autonomous Navigation

A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion

1 code implementation3 Apr 2017 Lin Xiong, Jayashree Karlekar, Jian Zhao, Yi Cheng, Yan Xu, Jiashi Feng, Sugiri Pranata, ShengMei Shen

In this paper, we propose a unified learning framework named Transferred Deep Feature Fusion (TDFF) targeting at the new IARPA Janus Benchmark A (IJB-A) face recognition dataset released by NIST face challenge.

Face Recognition Transfer Learning

Scale-aware Fast R-CNN for Pedestrian Detection

no code implementations28 Oct 2015 Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan

Taking pedestrian detection as an example, we illustrate how we can leverage this philosophy to develop a Scale-Aware Fast R-CNN (SAF R-CNN) framework.

Pedestrian Detection

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