187 citations · 402 across the 16 of their papers we have counts for
13 papers · 1 filter
Masked Vision-Language Transformers for Scene Text Recognition
Jie Wu, Ying Peng, Shengming Zhang +2
Scene text recognition (STR) enables computers to recognize and read the text in various real-world scenes. Recent STR models benefit from taking linguistic information in addition…
Unsupervised Point Cloud Pre-Training via Contrasting and Clustering
Guofeng Mei, Xiaoshui Huang, Juan Liu +2
Annotating large-scale point clouds is highly time-consuming and often infeasible for many complex real-world tasks. Point cloud pre-training has therefore become a promising strat…
COTReg:Coupled Optimal Transport based Point Cloud Registration
Guofeng Mei, Xiaoshui Huang, Litao Yu +2
Generating a set of high-quality correspondences or matches is one of the most critical steps in point cloud registration. This paper proposes a learning framework COTReg by jointl…
GenReg: Deep Generative Method for Fast Point Cloud Registration
Xiaoshui Huang, Zongyi Xu, Guofeng Mei +4
Accurate and efficient point cloud registration is a challenge because the noise and a large number of points impact the correspondence search. This challenge is still a remaining…
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
Mengxi Jia, Xinhua Cheng, Shijian Lu +1
Person re-identification (re-ID) under various occlusions has been a long-standing challenge as person images with different types of occlusions often suffer from misalignment in i…
Super-Resolving Compressed Video in Coding Chain
Dewang Hou, Yang Zhao, Yuyao Ye +3
Scaling and lossy coding are widely used in video transmission and storage. Previous methods for enhancing the resolution of such videos often ignore the inherent interference betw…
A comprehensive survey on point cloud registration
Xiaoshui Huang, Guofeng Mei, Jian Zhang +1
Registration is a transformation estimation problem between two point clouds, which has a unique and critical role in numerous computer vision applications. The developments of opt…
Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet
Yi Ding, Qiqi Yang, Guozheng Wu +2
The identification of nerve is difficult as structures of nerves are challenging to image and to detect in ultrasound images. Nevertheless, the nerve identification in ultrasound i…
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
Mengxi Jia, Yunpeng Zhai, Shijian Lu +2
RGB-Infrared (IR) cross-modality person re-identification (re-ID), which aims to search an IR image in RGB gallery or vice versa, is a challenging task due to the large discrepancy…
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
Yikang Zhang, Jian Zhang, Qiang Wang +1
Convolution operator is the core of convolutional neural networks (CNNs) and occupies the most computation cost. To make CNNs more efficient, many methods have been proposed to eit…
PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs
Jie Wu, Ying Peng, Chenghao Zheng +2
Recently, generative adversarial networks (GANs) have shown great advantages in synthesizing images, leading to a boost of explorations of using faked images to augment data. This…
Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, Jian Zhang +1
Data augmentation (DA) has been widely utilized to improve generalization in training deep neural networks. Recently, human-designed data augmentation has been gradually replaced b…
Unsupervised Part Mining for Fine-grained Image Classification
Runsheng Zhang, jian zhang, Yaping Huang +1
Fine-grained image classification remains challenging due to the large intra-class variance and small inter-class variance. Since the subtle visual differences are only in local re…