116 citations · 289 across the 17 of their papers we have counts for
25 papers · 1 filter
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification
Hu Lu, Xuezhang Zou, Pingping Zhang
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task under complex modality changes. Existing methods usually focus on extracting discriminative visu…
Fully Transformer Network for Change Detection of Remote Sensing Images
Tianyu Yan, Zifu Wan, Pingping Zhang
Recently, change detection (CD) of remote sensing images have achieved great progress with the advances of deep learning. However, current methods generally deliver incomplete CD r…
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Duo Peng, Yinjie Lei, Wen Li +2
Domain adaptation is critical for success when confronting with the lack of annotations in a new domain. As the huge time consumption of labeling process on 3D point cloud, domain…
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
Duo Peng, Yinjie Lei, Lingqiao Liu +2
Semantic segmentation is a crucial image understanding task, where each pixel of image is categorized into a corresponding label. Since the pixel-wise labeling for ground-truth is…
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
Wei Liu, Pingping Zhang, Yinjie Lei +3
Image smoothing is a fundamental procedure in applications of both computer vision and graphics. The required smoothing properties can be different or even contradictive among diff…
HAT: Hierarchical Aggregation Transformers for Person Re-identification
Guowen Zhang, Pingping Zhang, Jinqing Qi +1
Recently, with the advance of deep Convolutional Neural Networks (CNNs), person Re-Identification (Re-ID) has witnessed great success in various applications. However, with limited…