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09/10/2023
FreeMan: Towards Benchmarking 3D Human Pose Estimation in the Wild
Estimating the 3D structure of the human body from natural scenes is a f...
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07/29/2023
Effective Whole-body Pose Estimation with Two-stages Distillation
Whole-body pose estimation localizes the human body, hand, face, and foo...
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07/06/2023
FITS: Modeling Time Series with 10k Parameters
In this paper, we introduce FITS, a lightweight yet powerful model for t...
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02/18/2023
FrAug: Frequency Domain Augmentation for Time Series Forecasting
Data augmentation (DA) has become a de facto solution to expand training...
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05/26/2022
Are Transformers Effective for Time Series Forecasting?
Recently, there has been a surge of Transformer-based solutions for the ...
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03/16/2022
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation
This paper proposes a simple baseline framework for video-based 2D/3D hu...
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12/27/2021
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
When analyzing human motion videos, the output jitters from existing pos...
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08/16/2021
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
Various deep learning techniques have been proposed to solve the single-...
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08/07/2021
Information Bottleneck Approach to Spatial Attention Learning
The selective visual attention mechanism in the human visual system (HVS...
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07/23/2021
Human Pose Regression with Residual Log-likelihood Estimation
Heatmap-based methods dominate in the field of human pose estimation by ...
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06/17/2021
Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction
Time series is a special type of sequence data, a set of observations co...
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05/30/2021
Hop-Aware Dimension Optimization for Graph Neural Networks
In Graph Neural Networks (GNNs), the embedding of each node is obtained ...
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04/21/2021
Skimming and Scanning for Untrimmed Video Action Recognition
Video action recognition (VAR) is a primary task of video understanding,...
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12/10/2020
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis
Sensor-based time series analysis is an essential task for applications ...
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07/18/2020
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
Human poses that are rare or unseen in a training set are challenging fo...
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12/09/2019
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image
In this paper, we propose a two-stage fully 3D network, namely DeepFuse,...
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12/26/2018