activity
20182023
most citedSCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

247 citations · 335 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 49 cited

Oriented object detection in optical remote sensing images using deep learning: a survey

Kun Wang, Zi Wang, Zhang Li +5

Oriented object detection is a fundamental yet challenging task in remote sensing (RS), aiming to locate and classify objects with arbitrary orientations. Recent advancements in de…

cs.LG2021★ 247 cited

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

Minhao Liu, Ailing Zeng, Muxi Chen +4

One unique property of time series is that the temporal relations are largely preserved after downsampling into two sub-sequences. By taking advantage of this property, we propose…

cs.LG2021

Relational Graph Neural Network Design via Progressive Neural Architecture Search

Ailing Zeng, Minhao Liu, Zhiwei Liu +3

We propose a novel solution to addressing a long-standing dilemma in the representation learning of graph neural networks (GNNs): how to effectively capture and represent useful in…

eess.SP2020★ 2 cited

T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis

Minhao Liu, Ailing Zeng, Qiuxia Lai +1

Sensor-based time series analysis is an essential task for applications such as activity recognition and brain-computer interface. Recently, features extracted with deep neural net…

cs.CV2020★ 17 cited

SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach

Ailing Zeng, Xiao Sun, Fuyang Huang +3

Human poses that are rare or unseen in a training set are challenging for a network to predict. Similar to the long-tailed distribution problem in visual recognition, the small num…

cs.CV2019★ 7 cited

DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image

Fuyang Huang, Ailing Zeng, Minhao Liu +2

In this paper, we propose a two-stage fully 3D network, namely \textbf{DeepFuse}, to estimate human pose in 3D space by fusing body-worn Inertial Measurement Unit (IMU) data and mu…

cs.CV2018★ 13 cited

Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image

Fuyang Huang, Ailing Zeng, Minhao Liu +2

In this paper, we propose a novel structure-aware 3D hourglass network for hand pose estimation from a single depth image, which achieves state-of-the-art results on MSRA and NYU d…