Search Results for author: QiXing Huang

Found 11 papers, 6 papers with code

Implicit Autoencoder for Point Cloud Self-supervised Representation Learning

no code implementations3 Jan 2022 Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, QiXing Huang

We introduce Implicit Autoencoder(IAE), a simple yet effective method that addresses this challenge by replacing the point cloud decoder with an implicit decoder.

Representation Learning Self-Supervised Learning

Scene Synthesis via Uncertainty-Driven Attribute Synchronization

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.

Learning View Selection for 3D Scenes

no code implementations CVPR 2021 Yifan Sun, QiXing Huang, Dun-Yu Hsiao, Li Guan, Gang Hua

Efficient 3D space sampling to represent an underlying3D object/scene is essential for 3D vision, robotics, and be-yond.

Attention-guided Temporally Coherent Video Object Matting

1 code implementation24 May 2021 Yunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, QiXing Huang, Weiwei Xu

Experimental results show that our method can generate high-quality alpha mattes for various videos featuring appearance change, occlusion, and fast motion.

Image Matting Matting +4

HPNet: Deep Primitive Segmentation Using Hybrid Representations

1 code implementation ICCV 2021 Siming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, QiXing Huang

This paper introduces HPNet, a novel deep-learning approach for segmenting a 3D shape represented as a point cloud into primitive patches.

MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions

1 code implementation27 Apr 2021 Zhenpei Yang, Zhile Ren, Qi Shan, QiXing Huang

Deep learning has made significant impacts on multi-view stereo systems.

Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs

no code implementations NeurIPS 2020 Xiangru Huang, Haitao Yang, Etienne Vouga, QiXing Huang

We introduce an approach for establishing dense correspondences between partial scans of human models and a complete template model.

Scalable Semidefinite Relaxation for Maximum A Posterior Estimation

no code implementations19 May 2014 Qixing Huang, Yuxin Chen, Leonidas Guibas

Maximum a posteriori (MAP) inference over discrete Markov random fields is a fundamental task spanning a wide spectrum of real-world applications, which is known to be NP-hard for general graphs.

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