no code implementations • 26 Apr 2024 • Shun Maeda, Chunzhi Gu, Jun Yu, Shogo Tokai, Shangce Gao, Chao Zhang
We introduce the task of human action anomaly detection (HAAD), which aims to identify anomalous motions in an unsupervised manner given only the pre-determined normal category of training action samples.
no code implementations • 30 Nov 2023 • Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
To fully exploit saliency guidance, on each map, we select a pixel pair from the cluster with the highest centroid saliency to form a patch pair.
no code implementations • 7 Nov 2023 • Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
We present PD-REAL, a novel large-scale dataset for unsupervised anomaly detection (AD) in the 3D domain.
no code implementations • 23 Oct 2023 • Chunzhi Gu, Chao Zhang, Shigeru Kuriyama
Specifically, we follow a two-stage forecasting strategy by first employing the motion diffusion model to generate the target motion with a specified future action, and then producing the in-betweening to smoothly connect the observation and prediction to eventually address motion prediction.
no code implementations • 14 Sep 2023 • Yu Ding, Jun Yu, Chunzhi Gu, Shangce Gao, Chao Zhang
Recently, a novel mathematical ANN model, known as the dendritic neuron model (DNM), has been proposed to address nonlinear problems by more accurately reflecting the structure of real neurons.
no code implementations • 31 Oct 2022 • Jianjian Qin, Chunzhi Gu, Jun Yu, Chao Zhang
Moreover, our method only requires very few normal samples to train the student network due to the teacher-student distillation mechanism.
no code implementations • 4 Jul 2022 • Chunzhi Gu, Jun Yu, Chao Zhang
Specifically, the inductive bias imposed by the extra CVAE path encourages two latent variables in two paths to respectively govern separate representations for each partial-body motion.
no code implementations • 12 Nov 2021 • Chunzhi Gu, Shuofeng Zhao, Chao Zhang
In this paper, we present a deep generative model based method to generate diverse human motion interpolation results.
no code implementations • 13 Sep 2021 • Chunzhi Gu, Yan Zhao, Chao Zhang
Human motion prediction, which plays a key role in computer vision, generally requires a past motion sequence as input.
no code implementations • 31 Aug 2020 • Chunzhi Gu, Xuequan Lu, Chao Zhang
In particular, we relate the transferred image with the example image under the Gaussian Mixture Model (GMM) and regard the transferred image color as the GMM centroids.
no code implementations • 26 Mar 2019 • Chunzhi Gu, Xuequan Lu, Ying He, Chao Zhang
Complex blur such as the mixup of space-variant and space-invariant blur, which is hard to model mathematically, widely exists in real images.