activity
20192022
most citedA Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

16 citations · 46 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20228 cited

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

Tiezheng Ma, Yongwei Nie, Chengjiang Long +2

This paper presents a high-quality human motion prediction method that accurately predicts future human poses given observed ones. Our method is based on the observation that a goo…

cs.CV202114 cited

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

Lingwei Dang, Yongwei Nie, Chengjiang Long +2

Human motion prediction is a challenging task due to the stochasticity and aperiodicity of future poses. Recently, graph convolutional network has been proven to be very effective…

cs.CV202116 cited

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

Zhian Liu, Yongwei Nie, Chengjiang Long +2

In this paper, we propose -VAD, a Hybrid framework that integrates Flow reconstruction and Frame prediction seamlessly to handle Video Anomaly Detection. Firstly, we d…

cs.CV20198 cited

Dual Illumination Estimation for Robust Exposure Correction

Qing Zhang, Yongwei Nie, Wei-Shi Zheng

Exposure correction is one of the fundamental tasks in image processing and computational photography. While various methods have been proposed, they either fail to produce visuall…

cs.CV2019

Enhancing Underexposed Photos using Perceptually Bidirectional Similarity

Qing Zhang, Yongwei Nie, Lei Zhu +2

Although remarkable progress has been made, existing methods for enhancing underexposed photos tend to produce visually unpleasing results due to the existence of visual artifacts…