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20172024
most citedDelving Globally into Texture and Structure for Image Inpainting

26 citations · 31 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization

Feng Hou, Jin Yuan, Ying Yang +7

Traditional cross-domain tasks, including domain adaptation and domain generalization, rely heavily on training model by source domain data. With the recent advance of vision-langu…

cs.CV2023

A Survey on Video Moment Localization

Meng Liu, Liqiang Nie, Yunxiao Wang +2

Video moment localization, also known as video moment retrieval, aiming to search a target segment within a video described by a given natural language query. Beyond the task of te…

cs.CV2023

Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning

Jin Yuan, Yang Zhang, Yangzhou Du +4

In recent years, deep models have achieved remarkable success in various vision tasks. However, their performance heavily relies on large training datasets. In contrast, humans exh…

cs.CV2022★ 26 cited

Delving Globally into Texture and Structure for Image Inpainting

Haipeng Liu, Yang Wang, Meng Wang +1

Image inpainting has achieved remarkable progress and inspired abundant methods, where the critical bottleneck is identified as how to fulfill the high-frequency structure and low-…

cs.CV2022★ 2 cited

Graph Attention Transformer Network for Multi-Label Image Classification

Jin Yuan, Shikai Chen, Yao Zhang +4

Multi-label classification aims to recognize multiple objects or attributes from images. However, it is challenging to learn from proper label graphs to effectively characterize su…

cs.CV2017

Enhancing Person Re-identification in a Self-trained Subspace

Xun Yang, Meng Wang, Richang Hong +2

Despite the promising progress made in recent years, person re-identification (re-ID) remains a challenging task due to the complex variations in human appearances from different c…