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20162023
most citedPrecise Facial Landmark Detection by Reference Heatmap Transformer

77 citations · 85 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV202377 cited

Precise Facial Landmark Detection by Reference Heatmap Transformer

Jun Wan, Jun Liu, Jie Zhou +5

Most facial landmark detection methods predict landmarks by mapping the input facial appearance features to landmark heatmaps and have achieved promising results. However, when the…

cs.CV20235 cited

Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection

Zihan Wang, Siyang Song, Cheng Luo +4

This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main…

cs.CV20231 cited

Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation

Wei Chen, Xi Jia, Zhongqun Zhang +4

In this paper, we propose a novel 3D graph convolution based pipeline for category-level 6D pose and size estimation from monocular RGB-D images. The proposed method leverages an e…

cs.CV2022

Sample hardness based gradient loss for long-tailed cervical cell detection

Minmin Liu, Xuechen Li, Xiangbo Gao +3

Due to the difficulty of cancer samples collection and annotation, cervical cancer datasets usually exhibit a long-tailed data distribution. When training a detector to detect the…

cs.CV2022

Activation Template Matching Loss for Explainable Face Recognition

Huawei Lin, Haozhe Liu, Qiufu Li +1

Can we construct an explainable face recognition network able to learn a facial part-based feature like eyes, nose, mouth and so forth, without any manual annotation or additionals…

cs.CV2016

Output Constraint Transfer for Kernelized Correlation Filter in Tracking

Baochang Zhang, Zhigang Li, Xianbin Cao +5

Kernelized Correlation Filter (KCF) is one of the state-of-the-art object trackers. However, it does not reasonably model the distribution of correlation response during tracking p…