Search Results for author: Jiaman Li

Found 8 papers, 2 papers with code

GIMO: Gaze-Informed Human Motion Prediction in Context

no code implementations20 Apr 2022 Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, Karen Liu, Leonidas J. Guibas

Our network achieves the top performance in human motion prediction on the proposed dataset, thanks to the intent information from the gaze and the denoised gaze feature modulated by the motion.

Human motion prediction motion prediction

DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points

no code implementations13 Dec 2021 Zhengfei Kuang, Jiaman Li, Mingming He, Tong Wang, Yajie Zhao

To make the local features aware of the global context and improve their matching accuracy, we introduce DenseGAP, a new solution for efficient Dense correspondence learning with a Graph-structured neural network conditioned on Anchor Points.

Task-Generic Hierarchical Human Motion Prior using VAEs

no code implementations7 Jun 2021 Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, Yajie Zhao

We demonstrate the effectiveness of our hierarchical motion variational autoencoder in a variety of tasks including video-based human pose estimation, motion completion from partial observations, and motion synthesis from sparse key-frames.

Frame motion synthesis +1

Dynamic Facial Asset and Rig Generation from a Single Scan

no code implementations1 Oct 2020 Jiaman Li, Zheng-Fei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li

We also model the joint distribution between identities and expressions, enabling the inference of the full set of personalized blendshapes with dynamic appearances from a single neutral input scan.

Learning to Generate Diverse Dance Motions with Transformer

no code implementations18 Aug 2020 Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li

We also introduce new evaluation metrics for the quality of synthesized dance motions, and demonstrate that our system can outperform state-of-the-art methods.

motion synthesis

VirtualHome: Simulating Household Activities via Programs

3 code implementations CVPR 2018 Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba

We then implement the most common atomic (inter)actions in the Unity3D game engine, and use our programs to "drive" an artificial agent to execute tasks in a simulated household environment.

Video Understanding

Differentiable Compositional Kernel Learning for Gaussian Processes

3 code implementations ICML 2018 Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger Grosse

The NKN architecture is based on the composition rules for kernels, so that each unit of the network corresponds to a valid kernel.

Gaussian Processes Time Series

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