Search Results for author: Fanyang Meng

Found 8 papers, 3 papers with code

Universal Learned Image Compression With Low Computational Cost

no code implementations23 Jun 2022 Bowen Li, Yao Xin, Youneng Bao, Fanyang Meng, Yongsheng Liang, Wen Tan

Recently, learned image compression methods have developed rapidly and exhibited excellent rate-distortion performance when compared to traditional standards, such as JPEG, JPEG2000 and BPG.

Image Compression MS-SSIM +1

Context-aware Visual Tracking with Joint Meta-updating

no code implementations4 Apr 2022 Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang

These deep trackers usually do not perform online update or update single sub-branch of the tracking model, for which they cannot adapt to the appearance variation of objects.

Meta-Learning Visual Object Tracking +1

Cloth Interactive Transformer for Virtual Try-On

1 code implementation12 Apr 2021 Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Ling Shao, Philip H. S. Torr, Nicu Sebe

2D image-based virtual try-on has attracted increased attention from the multimedia and computer vision communities.

Virtual Try-on

TCDesc: Learning Topology Consistent Descriptors for Image Matching

no code implementations13 Sep 2020 Honghu Pan, Fanyang Meng, Nana Fan, Zhenyu He

Our method has the following two advantages: (1) We are the first to consider neighborhood information of descriptors, while former works mainly focus on neighborhood consistency of feature points; (2) Our method can be applied in any former work of learning descriptors by triplet loss.

TCDesc: Learning Topology Consistent Descriptors

no code implementations5 Jun 2020 Honghu Pan, Fanyang Meng, Zhenyu He, Yongsheng Liang, Wei Liu

Then we define topology distance between descriptors as the difference of their topology vectors.

Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification

1 code implementation1 Jun 2020 Hanrong Ye, Hong Liu, Fanyang Meng, Xia Li

As an angularly discriminative feature space is important for classifying the human images based on their embedding vectors, in this paper, we propose a novel ranking loss function, named Bi-directional Exponential Angular Triplet Loss, to help learn an angularly separable common feature space by explicitly constraining the included angles between embedding vectors.

Person Re-Identification

A Bidirectional Adaptive Bandwidth Mean Shift Strategy for Clustering

no code implementations22 Dec 2017 Fanyang Meng, Hong Liu, Yongsheng Liang, Wei Liu, Jihong Pei

The bandwidth of a kernel function is a crucial parameter in the mean shift algorithm.

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