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20162024
most citedRelational Multi-Manifold Co-Clustering

55 citations · 79 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation

Zirui Shao, Feiyu Gao, Hangdi Xing +5

In the era of content creation revolution propelled by advancements in generative models, the field of web design remains unexplored despite its critical role in modern digital com…

cs.CV2024

Attention Beats Linear for Fast Implicit Neural Representation Generation

Shuyi Zhang, Ke Liu, Jingjun Gu +4

Implicit Neural Representation (INR) has gained increasing popularity as a data representation method, serving as a prerequisite for innovative generation models. Unlike gradient-b…

cs.CV20241 cited

Less is More: A Closer Look at Semantic-based Few-Shot Learning

Chunpeng Zhou, Haishuai Wang, Xilu Yuan +2

Few-shot Learning aims to learn and distinguish new categories with a very limited number of available images, presenting a significant challenge in the realm of deep learning. Rec…

cs.CV20231 cited

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis

Ke Liu, Feng Liu, Haishuai Wang +3

(INRs) aim to learn a (i.e., a neural network) to represent an image, where the input and output of the fu…

cs.CV20231 cited

Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR

Chunpeng Zhou, Kangjie Ning, Haishuai Wang +3

The application of 3D ground-penetrating radar (3D-GPR) for subgrade distress detection has gained widespread popularity. To enhance the efficiency and accuracy of detection, pione…

cs.CV20232 cited

LORE: Logical Location Regression Network for Table Structure Recognition

Hangdi Xing, Feiyu Gao, Rujiao Long +5

Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations o…