activity
20212023
most citedFrAug: Frequency Domain Augmentation for Time Series Forecasting

6 citations · 13 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV20232 cited

HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

Xuan Ju, Ailing Zeng, Chenchen Zhao +3

Controllable human image generation (HIG) has numerous real-life applications. State-of-the-art solutions, such as ControlNet and T2I-Adapter, introduce an additional learnable bra…

cs.CV2023

Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

Xuan Ju, Ailing Zeng, Jianan Wang +2

Humans have long been recorded in a variety of forms since antiquity. For example, sculptures and paintings were the primary media for depicting human beings before the invention o…

cs.CV2023

On Function-Coupled Watermarks for Deep Neural Networks

Xiangyu Wen, Yu Li, Wei Jiang +1

Well-performed deep neural networks (DNNs) generally require massive labelled data and computational resources for training. Various watermarking techniques are proposed to protect…

eess.SP20232 cited

Pi-ViMo: Physiology-inspired Robust Vital Sign Monitoring using mmWave Radars

Bo Zhang, Boyu Jiang, Rong Zheng +3

Continuous monitoring of human vital signs using non-contact mmWave radars is attractive due to their ability to penetrate garments and operate under different lighting conditions.…

cs.CV2023

Active Teacher for Semi-Supervised Object Detection

Peng Mi, Jianghang Lin, Yiyi Zhou +7

In this paper, we study teacher-student learning from the perspective of data initialization and propose a novel algorithm called Active Teacher(Source code are available at: \url{…

cs.LG20236 cited

FrAug: Frequency Domain Augmentation for Time Series Forecasting

Muxi Chen, Zhijian Xu, Ailing Zeng +1

Data augmentation (DA) has become a de facto solution to expand training data size for deep learning. With the proliferation of deep models for time series analysis, various time s…