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20182022
most citedWhat comprises a good talking-head video generation?: A Survey and Benchmark

30 citations · 72 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022★ 9 cited

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19

Zhenrui Yue, Huimin Zeng, Ziyi Kou +2

Despite recent progress in improving the performance of misinformation detection systems, classifying misinformation in an unseen domain remains an elusive challenge. To address th…

cs.CV2020★ 4 cited

Talking-head Generation with Rhythmic Head Motion

Lele Chen, Guofeng Cui, Celong Liu +4

When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information. However, generating a lip-synced video while moving head natura…

cs.CV2020★ 30 cited

What comprises a good talking-head video generation?: A Survey and Benchmark

Lele Chen, Guofeng Cui, Ziyi Kou +2

Over the years, performance evaluation has become essential in computer vision, enabling tangible progress in many sub-fields. While talking-head video generation has become an eme…

cs.CV2019★ 1 cited

Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation

Ziyi Kou, Guofeng Cui, Shaojie Wang +2

Weakly Supervised Object Localization (WSOL) methods generate both classification and localization results by learning from only image category labels. Previous methods usually uti…

cs.CV2019

Weakly Supervised Localization Using Background Images

Ziyi Kou, Wentian Zhao, Guofeng Cui +1

Weakly Supervised Object Localization (WSOL) methodsusually rely on fully convolutional networks in order to ob-tain class activation maps(CAMs) of targeted labels. How-ever, these…

cs.CV2018★ 5 cited

How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos

Shaojie Wang, Wentian Zhao, Ziyi Kou +1

Understanding web instructional videos is an essential branch of video understanding in two aspects. First, most existing video methods focus on short-term actions for a-few-second…