Search Results - "Liang, Borong"
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1
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…Previous scene text detection methods have progressed substantially over the past years. However, limited by the receptive field of CNNs and the simple…”
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Conference Proceeding -
2
Lightweight Pyramid Networks for Image Deraining
Published in IEEE transaction on neural networks and learning systems (01-06-2020)“…Existing deep convolutional neural networks (CNNs) have found major success in image deraining, but at the expense of an enormous number of parameters. This…”
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Journal Article -
3
Dual Domain Multi-Task Model for Vehicle Re-Identification
Published in IEEE transactions on intelligent transportation systems (01-04-2022)“…Vehicle re-identification (re-id) is an essential task in the field of intelligent transportation systems (ITS). The main goal of re-id is to find the same…”
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Journal Article -
4
Expressive Talking Head Generation with Granular Audio-Visual Control
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Generating expressive talking heads is essential for creating virtual humans. However, existing one- or few-shot methods focus on lip-sync and head motion,…”
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Conference Proceeding -
5
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer
Published 06-08-2024“…Lip-syncing videos with given audio is the foundation for various applications including the creation of virtual presenters or performers. While recent studies…”
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Journal Article -
6
Lightweight Pyramid Networks for Image Deraining
Published 16-05-2018“…Existing deep convolutional neural networks have found major success in image deraining, but at the expense of an enormous number of parameters. This limits…”
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Journal Article -
7
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
Published 13-04-2019“…Previous scene text detection methods have progressed substantially over the past years. However, limited by the receptive field of CNNs and the simple…”
Get full text
Journal Article