52 citations · 155 across the 9 of their papers we have counts for
10 papers · 1 filter
Edge-guided Representation Learning for Underwater Object Detection
Linhui Dai, Hong Liu, Pinhao Song +3
Underwater object detection (UOD) is crucial for marine economic development, environmental protection, and the planet's sustainable development. The main challenges of this task a…
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification
Jianbing Wu, Hong Liu, Wei Shi +2
Cloth-changing person re-identification (CC-ReID), which aims to match person identities under clothing changes, is a new rising research topic in recent years. However, typical bi…
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
Zhan Chen, Hong Liu, Tianyu Guo +3
Self-supervised skeleton-based action recognition with contrastive learning has attracted much attention. Recent literature shows that data augmentation and large sets of contrasti…
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
Wenhao Li, Mengyuan Liu, Hong Liu +4
Modern multi-layer perceptron (MLP) models have shown competitive results in learning visual representations without self-attention. However, existing MLP models are not good at ca…
AO2-DETR: Arbitrary-Oriented Object Detection Transformer
Linhui Dai, Hong Liu, Hao Tang +2
Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild with arbitrary orientations and cluttered arrangements. Existing approaches are mainl…
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking
Yidi Li, Hong Liu, Hao Tang
Multi-modal fusion is proven to be an effective method to improve the accuracy and robustness of speaker tracking, especially in complex scenarios. However, how to combine the hete…
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data
Hao Tang, Hong Liu, Wei Xiao +1
We present a new Deep Dictionary Learning and Coding Network (DDLCN) for image recognition tasks with limited data. The proposed DDLCN has most of the standard deep learning layers…
Unified Generative Adversarial Networks for Controllable Image-to-Image Translation
Hao Tang, Hong Liu, Nicu Sebe
We propose a unified Generative Adversarial Network (GAN) for controllable image-to-image translation, i.e., transferring an image from a source to a target domain guided by contro…
AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
Hao Tang, Hong Liu, Dan Xu +2
State-of-the-art methods in image-to-image translation are capable of learning a mapping from a source domain to a target domain with unpaired image data. Though the existing metho…
Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
Hao Tang, Hong Liu, Wei Xiao +1
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a vitally important role in natural human-computer interface. Although great progress has…