Search Results for author: Yipeng Ma

Found 7 papers, 1 papers with code

Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables

no code implementations ICCV 2021 Tao Wang, Yong Li, Jingyang Peng, Yipeng Ma, Xian Wang, Fenglong Song, Youliang Yan

One is a 1D weight vector used for image-level scenario adaptation, the other is a 3D weight map aimed for pixel-wise category fusion.

Image Enhancement

Learning Cascaded Siamese Networks for High Performance Visual Tracking

no code implementations8 May 2019 Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang

In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siamese network is proposed and developed based on two different deep learning networks: a matching subnetwork and a classification subnetwork.

Classification General Classification +2

Efficient Multi-level Correlating for Visual Tracking

no code implementations13 Oct 2018 Yipeng Ma, Chun Yuan, Peng Gao, Fei Wang

Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently.

Visual Tracking

High Performance Visual Tracking with Circular and Structural Operators

no code implementations23 Apr 2018 Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao, Yan Zhang

Based on the proposed circular and structural operators, a set of primal confidence score maps can be obtained by circular correlating feature maps with their corresponding structural correlation filters.

Computational Efficiency Visual Tracking +1

A Complementary Tracking Model with Multiple Features

no code implementations20 Apr 2018 Peng Gao, Yipeng Ma, Chao Li, Ke Song, Fei Wang, Liyi Xiao

Discriminative Correlation Filters based tracking algorithms exploiting conventional handcrafted features have achieved impressive results both in terms of accuracy and robustness.

Visual Tracking

Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking

no code implementations19 Apr 2018 Peng Gao, Yipeng Ma, Ke Song, Chao Li, Fei Wang, Liyi Xiao

To the best of our knowledge, we are the first to incorporate the advantages of DCF and SOSVM for TIR object tracking.

Object Thermal Infrared Object Tracking

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