no code implementations • 10 May 2021 • Hanqing Wang, Zan Wang, Wei Liang, Lap-Fai Yu
Scene Rearrangement Planning (SRP) is an interior task proposed recently.
no code implementations • 14 Nov 2020 • Jixuan Zhi, Lap-Fai Yu, Jyh-Ming Lien
Our implementation shows that the proposed framework can produce a design around three to five minutes on average comparing to 10 to 20 minutes without the proposed motion planner.
no code implementations • 27 Sep 2018 • Yining Lang, Wei Liang, Yujia Wang, Lap-Fai Yu
In this paper, we propose a novel approach to synthesize 3D faces based on personality impression for creating virtual characters.
Graphics
no code implementations • ECCV 2018 • Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung
Urban zoning enables various applications in land use analysis and urban planning.
no code implementations • ICCV 2017 • Hanqing Wang, Wei Liang, Lap-Fai Yu
In the inference phase, given a scanned 3D scene with different object candidates and a dictionary of human poses, our approach infers the best object as a container together with human pose for transferring a given object.
no code implementations • 1 Apr 2017 • Chenfanfu Jiang, Siyuan Qi, Yixin Zhu, Siyuan Huang, Jenny Lin, Lap-Fai Yu, Demetri Terzopoulos, Song-Chun Zhu
We propose a systematic learning-based approach to the generation of massive quantities of synthetic 3D scenes and arbitrary numbers of photorealistic 2D images thereof, with associated ground truth information, for the purposes of training, benchmarking, and diagnosing learning-based computer vision and robotics algorithms.
no code implementations • 19 Oct 2016 • Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, Sai-Kit Yeung
Recent advances of 3D acquisition devices have enabled large-scale acquisition of 3D scene data.
no code implementations • ICCV 2015 • Lap-Fai Yu, Noah Duncan, Sai-Kit Yeung
We apply our approach to reason about the containability of several real-world objects acquired using a consumer-grade depth camera.
no code implementations • CVPR 2013 • Lap-Fai Yu, Sai-Kit Yeung, Yu-Wing Tai, Stephen Lin
We present a shading-based shape refinement algorithm which uses a noisy, incomplete depth map from Kinect to help resolve ambiguities in shape-from-shading.