activity
20202024
most citedVideo Cloze Procedure for Self-Supervised Spatio-Temporal Learning

24 citations · 54 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

SAN: Structure-Aware Network for Complex and Long-tailed Chinese Text Recognition

Junyi Zhang, Chang Liu, Chun Yang

In text recognition, complex glyphs and tail classes have always been factors affecting model performance. Specifically for Chinese text recognition, the lack of shape-awareness ca…

cs.CV2023★ 2 cited

Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection

Chang Liu, Weiming Zhang, Xiangru Lin +6

With basic Semi-Supervised Object Detection (SSOD) techniques, one-stage detectors generally obtain limited promotions compared with two-stage clusters. We experimentally find that…

cs.CV2023

Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer

Terence Jie Chua, Wenhan Yu, Jun Zhao

Development of defenses against physical world attacks such as adversarial patches is gaining traction within the research community. We contribute to the field of adversarial patc…

cs.CV2022

Open-set Text Recognition via Character-Context Decoupling

Chang Liu, Chun Yang, Xu-Cheng Yin

The open-set text recognition task is an emerging challenge that requires an extra capability to cognize novel characters during evaluation. We argue that a major cause of the limi…

cs.CV2020★ 20 cited

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou +4

Arbitrary shape text detection is a challenging task due to the high variety and complexity of scenes texts. In this paper, we propose a novel unified relational reasoning graph ne…

cs.CV2020★ 24 cited

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

Dezhao Luo, Chang Liu, Yu Zhou +4

We propose a novel self-supervised method, referred to as Video Cloze Procedure (VCP), to learn rich spatial-temporal representations. VCP first generates "blanks" by withholding v…