1 code implementation • ICCV 2021 • Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, QiXing Huang
This task is challenging because 3D scenes exhibit diverse patterns, ranging from continuous ones, such as object sizes and the relative poses between pairs of shapes, to discrete patterns, such as occurrence and co-occurrence of objects with symmetrical relationships.
1 code implementation • ICCV 2021 • QiXing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj
Our approach builds on an approximation of the as-rigid-as possible (or ARAP) deformation energy.
1 code implementation • ICCV 2021 • Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
Pretraining on large labeled datasets is a prerequisite to achieve good performance in many computer vision tasks like 2D object recognition, video classification etc.
2 code implementations • ECCV 2020 • Zaiwei Zhang, Bo Sun, Haitao Yang, Qi-Xing Huang
We show how to convert the predicted geometric primitives into object proposals by defining a distance function between an object and the geometric primitives.
Ranked #7 on
3D Object Detection
on ScanNetV2
1 code implementation • 16 May 2019 • Zaiwei Zhang, Xiangru Huang, Qi-Xing Huang, Xiao Zhang, Yuan Li
We formulate this problem as joint learning of multiple copies of the same network architecture and enforce the network weights to be shared across these networks.
1 code implementation • CVPR 2019 • Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qi-Xing Huang
Optimizing a network of maps among a collection of objects/domains (or map synchronization) is a central problem across computer vision and many other relevant fields.
no code implementations • 6 Aug 2018 • Zaiwei Zhang, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, Qi-Xing Huang
We show a principled way to train this model by combining discriminator losses for both a 3D object arrangement representation and a 2D image-based representation.