9 citations · 14 across the 11 of their papers we have counts for
11 papers
Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder
Chunzhi Gu, Shuofeng Zhao, Chao Zhang
In this paper, we present a deep generative model based method to generate diverse human motion interpolation results. We resort to the Conditional Variational Auto-Encoder (CVAE)…
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering
Katsuya Hotta, Takuya Akashi, Shogo Tokai +1
Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsup…
Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks
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. However, in real applications, a complete and correct past m…
Image Deformation Estimation via Multi-Objective Optimization
Takumi Nakane, Haoran Xie, Chao Zhang
The free-form deformation model can represent a wide range of non-rigid deformations by manipulating a control point lattice over the image. However, due to a large number of param…
Sketch-based Normal Map Generation with Geometric Sampling
Yi He, Haoran Xie, Chao Zhang +2
Normal map is an important and efficient way to represent complex 3D models. A designer may benefit from the auto-generation of high quality and accurate normal maps from freehand…
DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning
Sheldon Fung, Xuequan Lu, Chao Zhang +1
Face deepfake detection has seen impressive results recently. Nearly all existing deep learning techniques for face deepfake detection are fully supervised and require labels durin…
Example-based Color Transfer with Gaussian Mixture Modeling
Chunzhi Gu, Xuequan Lu, Chao Zhang
Color transfer, which plays a key role in image editing, has attracted noticeable attention recently. It has remained a challenge to date due to various issues such as time-consumi…
Deep Patch-based Human Segmentation
Dongbo Zhang, Zheng Fang, Xuequan Lu +4
3D human segmentation has seen noticeable progress in re-cent years. It, however, still remains a challenge to date. In this paper, weintroduce a deep patch-based method for 3D hum…
SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm
Takumi Nakane, Xuequan Lu, Chao Zhang
In evolutionary algorithms, genetic operators iteratively generate new offspring which constitute a potentially valuable set of search history. To boost the performance of crossove…
G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data
Chao Zhang, Xuequan Lu, Katsuya Hotta +1
In this paper we attempt to address the problem of geometric multi-model fitting with resorting to a few weakly annotated (WA) data points, which has been sparsely studied so far.…
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry
Chao Zhang, Xuequan Lu, Takuya Akashi
Well-known corner or local extrema feature based detectors such as FAST and DoG have achieved noticeable successes. However, detecting keypoints in the presence of blur has remaine…