Search Results for author: Haifeng Shen

Found 16 papers, 4 papers with code

DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data

no code implementations29 Mar 2024 Muhammad Sakib Khan Inan, Kewen Liao, Haifeng Shen, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Ming Jian Tang

Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc.

Time Series Time Series Classification

CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification

1 code implementation21 Mar 2022 Zhibin Liao, Kewen Liao, Haifeng Shen, Marouska F. van Boxel, Jasper Prijs, Ruurd L. Jaarsma, Job N. Doornberg, Anton Van Den Hengel, Johan W. Verjans

Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems.


Multi-View Stereo with Transformer

no code implementations1 Dec 2021 Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei

It is built upon Transformer and is capable of extracting dense features with global context and 3D consistency, which are crucial to achieving reliable matching for MVS.

Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering Problems

no code implementations4 Apr 2021 Omid Tarkhaneh, Neda Alipour, Amirahmad Chapnevis, Haifeng Shen

This paper proposes a novel nature-inspired meta-heuristic algorithm called the Golden Tortoise Beetle Optimizer (GTBO) to solve optimization problems.

Evolutionary Algorithms

Adaptive Object Detection with Dual Multi-Label Prediction

no code implementations ECCV 2020 Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

In this paper, we propose a novel end-to-end unsupervised deep domain adaptation model for adaptive object detection by exploiting multi-label object recognition as a dual auxiliary task.

Image-to-Image Translation Object +4

Mutual Learning Network for Multi-Source Domain Adaptation

no code implementations29 Mar 2020 Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye

However, in practice the labeled data can come from multiple source domains with different distributions.

Unsupervised Domain Adaptation

Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation

no code implementations17 Mar 2020 Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye

At last, we proposed a differentiable auto data augmentation method to further improve estimation accuracy.

Data Augmentation Pose Estimation

Metric Classification Network in Actual Face Recognition Scene

no code implementations25 Oct 2019 Jian Li, Yan Wang, Xiubao Zhang, Weihong Deng, Haifeng Shen

In this paper, we train a validation classifier to normalize the decision threshold, which means that the result can be obtained directly without replacing the threshold.

Classification Face Recognition +2

Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection

no code implementations19 Apr 2019 Siyang Sun, Yingjie Yin, Xingang Wang, De Xu, Yuan Zhao, Haifeng Shen

To address this problem, we propose a multiple receptive field and small-object-focusing weakly-supervised segmentation network (MRFSWSnet) to achieve fast object detection.

Object object-detection +3

Bi-Skip: A Motion Deblurring Network Using Self-paced Learning

no code implementations24 Feb 2019 Yiwei Zhang, Chunbiao Zhu, Ge Li, Yuan Zhao, Haifeng Shen

A fast and effective motion deblurring method has great application values in real life.


Virtual Class Enhanced Discriminative Embedding Learning

2 code implementations NeurIPS 2018 Binghui Chen, Weihong Deng, Haifeng Shen

Recently, learning discriminative features to improve the recognition performances gradually becomes the primary goal of deep learning, and numerous remarkable works have emerged.

Face Verification General Classification

Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision

no code implementations20 Nov 2018 Wanxin Tian, Zixuan Wang, Haifeng Shen, Weihong Deng, Yiping Meng, Binghui Chen, Xiubao Zhang, Yuan Zhao, Xiehe Huang

We assume that problems inside are inadequate use of supervision information and imbalance between semantics and details at all level feature maps in CNN even with Feature Pyramid Networks (FPN).

Face Detection Segmentation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.