activity
20202024
most citedLearning to Generate Diverse Dance Motions with Transformer

74 citations · 97 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction

Yi Zhou, Hui Zhang, Jiaqian Yu +4

Vectorized High-Definition (HD) map construction requires predictions of the category and point coordinates of map elements (e.g. road boundary, lane divider, pedestrian crossing,…

cs.CR20231 cited

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo +12

The effective detection of evidence of financial anomalies requires collaboration among multiple entities who own a diverse set of data, such as a payment network system (PNS) and…

cs.CV20211 cited

A Deep Emulator for Secondary Motion of 3D Characters

Mianlun Zheng, Yi Zhou, Duygu Ceylan +1

Fast and light-weight methods for animating 3D characters are desirable in various applications such as computer games. We present a learning-based approach to enhance skinning-bas…

cs.CV202074 cited

Learning to Generate Diverse Dance Motions with Transformer

Jiaman Li, Yihang Yin, Hang Chu +4

With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well chore…

cs.CV202020 cited

Generative Tweening: Long-term Inbetweening of 3D Human Motions

Yi Zhou, Jingwan Lu, Connelly Barnes +3

The ability to generate complex and realistic human body animations at scale, while following specific artistic constraints, has been a fundamental goal for the game and animation…