EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo

6 code implementations • ICCV 2021 • Xinjun Ma, Yue Gong, Qirui Wang, Jingwei Huang, Lei Chen, Fan Yu

As a result, we achieve promising results on all datasets and the highest F-Score on the online TNT intermediate benchmark.

3D Reconstruction Depth Estimation +2

A Co-analysis Framework for Exploring Multivariate Scientific Data

no code implementations • 19 Aug 2019 • Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin

In this paper, we propose a co-analysis framework based on biclusters, which are two subsets of variables and voxels with close scalar-value relationships, to guide the process of visually exploring multivariate data.

Multivariate Spatial Data Visualization: A Survey

no code implementations • 18 Aug 2019 • Xiangyang He, Yubo Tao, Qirui Wang, Hai Lin

Multivariate spatial data plays an important role in computational science and engineering simulations.

Data Visualization

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas

We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.

3D Part Segmentation 3D Reconstruction +1