no code implementations • 29 Apr 2024 • Siyuan Xiang, Chin Tseng, Congcong Wen, Deshana Desai, Yifeng Kou, Binil Starly, Daniele Panozzo, Chen Feng
We introduce the first work on benchmarking and evaluating deep clustering algorithms on large-scale non-categorical 3D CAD models.
1 code implementation • CVPR 2022 • Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng
Based on the fact that self-supervised learning is helpful when a large number of data are available, we propose two self-supervised learning approaches to improve the baseline performance for view consistency reasoning and camera pose reasoning tasks on the SPARE3D dataset.
1 code implementation • CVPR 2020 • Wenyu Han, Siyuan Xiang, Chenhui Liu, Ruoyu Wang, Chen Feng
Our experiments show that although convolutional networks have achieved superhuman performance in many visual learning tasks, their spatial reasoning performance on SPARE3D tasks is either lower than average human performance or even close to random guesses.
no code implementations • 20 Apr 2017 • Cem M. Deniz, Siyuan Xiang, Spencer Hallyburton, Arakua Welbeck, James S. Babb, Stephen Honig, Kyunghyun Cho, Gregory Chang
However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical practice.