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20192026
most citedDetecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization

4 citations · 11 across the 22 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion

Yi Zhong, Weize Quan, Dong-ming Yan +2

Point cloud completion aims to reconstruct the complete 3D shape from incomplete point clouds, and it is crucial for tasks such as 3D object detection and segmentation. Despite the…

cs.CV2024

GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expression

Ziqi Zhou, Weize Quan, Hailin Shi +3

Audio-driven talking head generation necessitates seamless integration of audio and visual data amidst the challenges posed by diverse input portraits and intricate correlations be…

cs.CV2024

OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point Clouds

Yingrui Wu, Mingyang Zhao, Weize Quan +3

We present a robust refinement method for estimating oriented normals from unstructured point clouds. In contrast to previous approaches that either suffer from high computational…

cs.CV2024

E-Net: Efficient E(3)-Equivariant Normal Estimation Network

Hanxiao Wang, Mingyang Zhao, Weize Quan +3

Point cloud normal estimation is a fundamental task in 3D geometry processing. While recent learning-based methods achieve notable advancements in normal prediction, they often ove…

cs.MM2024★ 3 cited

TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis

Weize Quan, Yunfei Feng, Ming Zhou +3

Multimodal Sentiment Analysis (MSA) endeavors to understand human sentiment by leveraging language, visual, and acoustic modalities. Despite the remarkable performance exhibited by…

cs.CV2024

Deep Learning-based Image and Video Inpainting: A Survey

Weize Quan, Jiaxi Chen, Yanli Liu +2

Image and video inpainting is a classic problem in computer vision and computer graphics, aiming to fill in the plausible and realistic content in the missing areas of images and v…