activity
20202022
most citedSketch-based Normal Map Generation with Geometric Sampling

9 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2022

SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing

Jiafu Wei, Ding Xia, Haoran Xie +3

We propose an interactive editing method that allows humans to help deep neural networks (DNNs) learn a latent space more consistent with human knowledge, thereby improving classif…

cs.CV2022

SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation

Tianyu Zhang, Xusheng Du, Chia-Ming Chang +2

Scene understanding is an essential and challenging task in computer vision. To provide the visually fundamental graphical structure of an image, the scene graph has received incre…

cs.GR2022

Sketch-based 3D Shape Modeling from Sparse Point Clouds

Xusheng Du, Yi He, Xi Yang +2

3D modeling based on point clouds is an efficient way to reconstruct and create detailed 3D content. However, the geometric procedure may lose accuracy due to high redundancy and t…

cs.HC2022

Hierarchical Visual Interface for Lecture Video Retrieval and Summarization

Jiaohao Weng, Chao Zhang, Xi Yang +1

With the emergence of large-scale open online courses and online academic conferences, it has become increasingly feasible and convenient to access online educational resources. Ho…

cs.CV2021★ 9 cited

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…

cs.CV2020

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.…