activity
20142025
most citedPix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images

305 citations · 672 across the 21 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 31 cited

GRNet: Gridding Residual Network for Dense Point Cloud Completion

Haozhe Xie, Hongxun Yao, Shangchen Zhou +3

Estimating the complete 3D point cloud from an incomplete one is a key problem in many vision and robotics applications. Mainstream methods (e.g., PCN and TopNet) use Multi-layer P…

cs.CV2020★ 186 cited

Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

Haozhe Xie, Hongxun Yao, Shengping Zhang +2

Recovering the 3D shape of an object from single or multiple images with deep neural networks has been attracting increasing attention in the past few years. Mainstream works (e.g.…

cs.CV2020★ 6 cited

Scene Text Recognition via Transformer

Xinjie Feng, Hongxun Yao, Yuankai Qi +2

Scene text recognition with arbitrary shape is very challenging due to large variations in text shapes, fonts, colors, backgrounds, etc. Most state-of-the-art algorithms rectify th…

cs.CV2020★ 11 cited

Adaptive Semantic-Visual Tree for Hierarchical Embeddings

Shuo Yang, Wei Yu, Ying Zheng +2

Merchandise categories inherently form a semantic hierarchy with different levels of concept abstraction, especially for fine-grained categories. This hierarchy encodes rich correl…

cs.CV2020★ 2 cited

Single-View 3D Object Reconstruction from Shape Priors in Memory

Shuo Yang, Min Xu, Haozhe Xie +2

Existing methods for single-view 3D object reconstruction directly learn to transform image features into 3D representations. However, these methods are vulnerable to images contai…