Search Results - "Lee, Feifei"

An Anti-Forensics Video Forgery Detection Method Based on Noise Transfer Matrix Analysis by Bao, Qing, Wang, Yagang, Hua, Huaimiao, Dong, Kexin, Lee, Feifei

“…The dispute over the authenticity of video has become a hot topic in judicial practice in recent years. Despite detection methods being updated rapidly,…”
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A deep convolutional neural network architecture for interstitial lung disease pattern classification by Huang, Sheng, Lee, Feifei, Miao, Ran, Si, Qin, Lu, Chaowen, Chen, Qiu

“…Interstitial lung disease (ILD) refers to a group of various abnormal inflammations of lung tissues and early diagnosis of these disease patterns is crucial…”
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A Supervised Video Hashing Method Based on a Deep 3D Convolutional Neural Network for Large-Scale Video Retrieval by Chen, Hanqing, Hu, Chunyan, Lee, Feifei, Lin, Chaowei, Yao, Wei, Chen, Lu, Chen, Qiu

“…Recently, with the popularization of camera tools such as mobile phones and the rise of various short video platforms, a lot of videos are being uploaded to…”
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Face recognition algorithm using extended vector quantization histogram features by Yan, Yan, Lee, Feifei, Wu, Xueqian, Chen, Qiu

“…In this paper, we propose a face recognition algorithm based on a combination of vector quantization (VQ) and Markov stationary features (MSF). The VQ…”
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MOO-DNAS: Efficient Neural Network Design via Differentiable Architecture Search Based on Multi-Objective Optimization by Wei, Hui, Lee, Feifei, Hu, Chunyan, Chen, Qiu

“…The progress devoted to improving the performance of neural networks has come at a high price in terms of cost and experience. Fortunately, the emergence of…”
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DMA-Net: Decoupled Multi-Scale Attention for Few-Shot Object Detection by Xie, Xijun, Lee, Feifei, Chen, Qiu

“…As one of the most important fields in computer vision, object detection has undergone marked development in recent years. Generally, object detection requires…”
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An Improved Capsule Network Based on Capsule Filter Routing by Wang, Wei, Lee, Feifei, Yang, Shuai, Chen, Qiu

“…Capsule network (CapsNet) is a novel type of network that can retain spatial information, because each capsule can integrate more information than…”
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SRUNet: Stacked Reversed U-Shape Network for Lightweight Single Image Super-Resolution by Feng, Zhiyi, Lee, Feifei, Chen, Qiu

“…In recent years, for relieving the heavy computational cost, lightweight models have been successfully applied to single image super-resolution (SISR) task…”
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RS-CapsNet: An Advanced Capsule Network by Yang, Shuai, Lee, Feifei, Miao, Ran, Cai, Jiawei, Chen, Lu, Yao, Wei, Kotani, Koji, Chen, Qiu

“…Capsule Network is a novel and promising neural network in the field of deep learning, which has shown good performance in image classification by encoding…”
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Pedestrian as Points: An Improved Anchor-Free Method for Center-Based Pedestrian Detection by Cai, Jiawei, Lee, Feifei, Yang, Shuai, Lin, Chaowei, Chen, Hanqing, Kotani, Koji, Chen, Qiu

“…Although excessive proposals using traditional sliding-window methods or prevailing anchor-based techniques have been proposed to deal with deep learning-based…”
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A Coarse-to-Fine Approach for Rectifying Distorted Latent Fingerprints From Crime Scenes by Bao, Qing, Wang, Ya-Gang, Gao, Chang, Sha, Liangxiao, Lee, Feifei

“…With the widely used fingerprints to identify criminals, the influence of fingerprint deformation arouses attention in forensic science. To date, many…”
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An improved noise loss correction algorithm for learning from noisy labels by Zhang, Qian, Lee, Feifei, Wang, Ya-gang, Miao, Ran, Chen, Lei, Chen, Qiu

“…•An improved joint optimization framework is proposed for learning from noisy labels.•We use the Combination of Mix-up entropy and KL entropy (CMKL) as new…”
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NAEM: Noisy Attention Exploration Module for Deep Reinforcement Learning by Cai, Zhenwen, Lee, Feifei, Hu, Chunyan, Kotani, Koji, Chen, Qiu

“…Recently, deep reinforcement learning (RL) has been a hot topic due to its high capability in solving complex decision-making tasks. Although deep RL has…”
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Improved Renyi Entropy Benchmark for Performance Assessment of Common Cascade Control System by Zhang, Qian, Wang, Ya-Gang, Lee, Feifei, Chen, Qiu, Sun, Zhen

“…To deal with the inconsistency of the minimum variance (MV) benchmark in evaluating non-Gaussian disturbance systems, this paper proposed a new benchmark,…”
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Automatic Chinese Font Generation System Reflecting Emotions Based on Generative Adversarial Network by Chen, Lu, Lee, Feifei, Chen, Hanqing, Yao, Wei, Cai, Jiawei, Chen, Qiu

“…Manual font design is difficult and requires professional knowledge and skills to perform. Therefore, how to automatically generate the required fonts is a…”
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IPDH: An Improved Pairwise-Based Deep Hashing Method for Large-Scale Image Retrieval by Yao, Wei, Lee, Feifei, Chen, Lu, Lin, Chaowei, Yang, Shuai, Chen, Hanqing, Chen, Qiu

“…Hashing technique has been extensively utilized in approximate nearest neighbor (ANN) search for large-scale image retrieval by virtue of its storage…”
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Scene recognition: A comprehensive survey by Xie, Lin, Lee, Feifei, Liu, Li, Kotani, Koji, Chen, Qiu

“…•A comprehensive survey on scene recognition is presented.•Existing scene recognition algorithms are reviewed in the light of feature transformation.•The…”
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TCC-net: A two-stage training method with contradictory loss and co-teaching based on meta-learning for learning with noisy labels by Xia, Qiangqiang, Lee, Feifei, Chen, Qiu

“…•We propose TCC-net, a novel framework for learning with noisy labels (LNL), including pre-training and meta-co-training.•We propose "contradictory loss" for…”
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An improved feature pyramid network for object detection by Zhu, Linxiang, Lee, Feifei, Cai, Jiawei, Yu, Hongliu, Chen, Qiu

“…•A similarity-based fusion module is designed to adaptively fuse different features.•An improved feature pyramid network (ImFPN) is proposed to compensate for…”
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An efficient U-shaped network combined with edge attention module and context pyramid fusion for skin lesion segmentation by Zuo, Bin, Lee, Feifei, Chen, Qiu

“…Skin lesion segmentation is an important process in skin diagnosis, but still a challenging problem due to the variety of shapes, colours, and boundaries of…”
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