Yuting Ye | DeepAI

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Featured Co-authors

Liang Lin
216 publications
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191 publications
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179 publications
Wangmeng Zuo
158 publications
Kaushik Roy
121 publications
Yi Zhou
114 publications
Kun He
99 publications
Jingren Zhou
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Hongxia Yang
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Ruigang Yang
57 publications

∙ 07/04/2023

Physics-based Motion Retargeting from Sparse Inputs

Avatars are important to create interactive and immersive experiences in...

0 Daniele Reda, et al. ∙

∙ 06/09/2023

QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors

Replicating a user's pose from only wearable sensors is important for ma...

0 Sunmin Lee, et al. ∙

∙ 05/31/2023

Simulation and Retargeting of Complex Multi-Character Interactions

We present a method for reproducing complex multi-character interactions...

0 Yunbo Zhang, et al. ∙

∙ 05/30/2023

AlteredAvatar: Stylizing Dynamic 3D Avatars with Fast Style Adaptation

This paper presents a method that can quickly adapt dynamic 3D avatars t...

6 Thu Nguyen-Phuoc, et al. ∙

∙ 03/14/2023

Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum

In-hand object manipulation is challenging to simulate due to complex co...

0 Yunbo Zhang, et al. ∙

∙ 09/20/2022

QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars

Real-time tracking of human body motion is crucial for interactive and i...

0 Alexander Winkler, et al. ∙

∙ 05/16/2022

Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate

Hierarchical multi-label classification (HMC) has drawn increasing atten...

0 Yuting Ye, et al. ∙

∙ 03/29/2022

Transformer Inertial Poser: Attention-based Real-time Human Motion Reconstruction from Sparse IMUs

Real-time human motion reconstruction from a sparse set of wearable IMUs...

0 Yifeng Jiang, et al. ∙

∙ 03/26/2022

From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation

The interventional nature of recommendation has attracted increasing att...

0 Da Xu, et al. ∙

∙ 12/27/2021

Active Learning with Pseudo-Labels for Multi-View 3D Pose Estimation

Pose estimation of the human body/hand is a fundamental problem in compu...

3 Qi Feng, et al. ∙

∙ 09/30/2021

Identity-Disentangled Neural Deformation Model for Dynamic Meshes

Neural shape models can represent complex 3D shapes with a compact laten...

4 Binbin Xu, et al. ∙

∙ 07/29/2021

Binomial Mixture Model With U-shape Constraint

In this article, we study the binomial mixture model under the regime th...

0 Yuting Ye, et al. ∙

∙ 03/28/2021

Understanding the role of importance weighting for deep learning

The recent paper by Byrd Lipton (2019), based on empirical observati...

0 Da Xu, et al. ∙

∙ 06/08/2020

Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels

Learning latent representations of registered meshes is useful for many ...

20 Yi Zhou, et al. ∙

∙ 08/28/2019

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

Low-dimensional embeddings of knowledge graphs and behavior graphs have ...

0 Yuting Ye, et al. ∙

∙ 08/21/2019

Paired Test of Matrix Graphs and Brain Connectivity Analysis

Inferring brain connectivity network and quantifying the significance of...

0 Yuting Ye, et al. ∙

∙ 08/17/2019

The Existence of Maximum Likelihood Estimate in High-Dimensional Generalized Linear Models with Binary Responses

Motivated by recent works on the high-dimensional logistic regression, w...

0 Wenpin Tang, et al. ∙

∙ 04/16/2019

Disentangling Pose from Appearance in Monochrome Hand Images

Hand pose estimation from the monocular 2D image is challenging due to t...

6 Yikang Li, et al. ∙

∙ 10/18/2018

HierLPR: Decision making in hierarchical multi-label classification with local precision rates

In this article we propose a novel ranking algorithm, referred to as Hie...

0 Christine Ho, et al. ∙

∙ 04/13/2018

Learning Warped Guidance for Blind Face Restoration

This paper studies the problem of blind face restoration from an unconst...

0 Xiaoming Li, et al. ∙

∙ 02/07/2018

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Over the past few years, Spiking Neural Networks (SNNs) have become popu...

0 Abhronil Sengupta, et al. ∙

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