most citedAn End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

483 citations · 495 across the 6 of their papers we have counts for

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cs.CV20241 cited

UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt

Xin Li, Bingchen Li, Yeying Jin +4

Compressed Image Super-resolution (CSR) aims to simultaneously super-resolve the compressed images and tackle the challenging hybrid distortions caused by compression. However, exi…

cs.CV2023

Shatter and Gather: Learning Referring Image Segmentation with Text Supervision

Dongwon Kim, Namyup Kim, Cuiling Lan +1

Referring image segmentation, the task of segmenting any arbitrary entities described in free-form texts, opens up a variety of vision applications. However, manual labeling of tra…

cs.CV202310 cited

Adaptive Frequency Filters As Efficient Global Token Mixers

Zhipeng Huang, Zhizheng Zhang, Cuiling Lan +3

Recent vision transformers, large-kernel CNNs and MLPs have attained remarkable successes in broad vision tasks thanks to their effective information fusion in the global scope. Ho…

cs.CV2023

Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization

Tao Yang, Yuwang Wang, Cuiling Lan +2

Recognizing elementary underlying concepts from observations (disentanglement) and generating novel combinations of these concepts (compositional generalization) are fundamental ab…

cs.CV20231 cited

Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective

Xin Li, Bingchen Li, Xin Jin +2

In recent years, we have witnessed the great advancement of Deep neural networks (DNNs) in image restoration. However, a critical limitation is that they cannot generalize well to…

cs.CV2016483 cited

An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

Sijie Song, Cuiling Lan, Junliang Xing +2

Human action recognition is an important task in computer vision. Extracting discriminative spatial and temporal features to model the spatial and temporal evolutions of different…