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20182023
most citedRethinking Local Perception in Lightweight Vision Transformer

33 citations · 98 across the 14 of their papers we have counts for

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Showing 2023 · cs.CVShow all

7 papers · 2 filters

cs.CV2023★ 12 cited

Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis

Linsen Song, Wayne Wu, Chaoyou Fu +2

Existing automated dubbing methods are usually designed for Professionally Generated Content (PGC) production, which requires massive training data and training time to learn a per…

cs.CV2023

Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification

Haichao Shi, Mandi Luo, Xiao-Yu Zhang +1

Visible-Infrared person re-identification (VI-ReID) is an important and challenging task in intelligent video surveillance. Existing methods mainly focus on learning a shared featu…

cs.CV2023★ 4 cited

Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification

Rui Wang, Peipei Li, Huaibo Huang +3

We present a novel language-driven ordering alignment method for ordinal classification. The labels in ordinal classification contain additional ordering relations, making them pro…

cs.CV2023★ 13 cited

Lightweight Vision Transformer with Bidirectional Interaction

Qihang Fan, Huaibo Huang, Xiaoqiang Zhou +1

Recent advancements in vision backbones have significantly improved their performance by simultaneously modeling images' local and global contexts. However, the bidirectional inter…

cs.CV2023★ 33 cited

Rethinking Local Perception in Lightweight Vision Transformer

Qihang Fan, Huaibo Huang, Jiyang Guan +1

Vision Transformers (ViTs) have been shown to be effective in various vision tasks. However, resizing them to a mobile-friendly size leads to significant performance degradation. T…

cs.CV2023★ 1 cited

Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang +2

Unsupervised Domain Adaptation (UDA) can effectively address domain gap issues in real-world image Super-Resolution (SR) by accessing both the source and target data. Considering p…

cs.CV2023★ 1 cited

Pluralistic Aging Diffusion Autoencoder

Peipei Li, Rui Wang, Huaibo Huang +2

Face aging is an ill-posed problem because multiple plausible aging patterns may correspond to a given input. Most existing methods often produce one deterministic estimation. This…