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20152023
most citedICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

338 citations · 740 across the 56 of their papers we have counts for

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69 papers · 1 filter

cs.CV2023

Pose-Free Neural Radiance Fields via Implicit Pose Regularization

Jiahui Zhang, Fangneng Zhan, Yingchen Yu +5

Pose-free neural radiance fields (NeRF) aim to train NeRF with unposed multi-view images and it has achieved very impressive success in recent years. Most existing works share the…

cs.CV2023

WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields

Muyu Xu, Fangneng Zhan, Jiahui Zhang +5

Neural Radiance Field (NeRF) has shown impressive performance in novel view synthesis via implicit scene representation. However, it usually suffers from poor scalability as requir…

cs.CV2023★ 1 cited

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

Siyuan Yang, Jun Liu, Shijian Lu +2

One-shot skeleton action recognition, which aims to learn a skeleton action recognition model with a single training sample, has attracted increasing interest due to the challenge…

cs.CV2023★ 16 cited

Online Map Vectorization for Autonomous Driving: A Rasterization Perspective

Gongjie Zhang, Jiahao Lin, Shuang Wu +5

Vectorized high-definition (HD) map is essential for autonomous driving, providing detailed and precise environmental information for advanced perception and planning. However, cur…

cs.CV2023★ 3 cited

A Survey of Label-Efficient Deep Learning for 3D Point Clouds

Aoran Xiao, Xiaoqin Zhang, Ling Shao +1

In the past decade, deep neural networks have achieved significant progress in point cloud learning. However, collecting large-scale precisely-annotated training data is extremely…

cs.CV2023★ 8 cited

Weakly Supervised 3D Open-vocabulary Segmentation

Kunhao Liu, Fangneng Zhan, Jiahui Zhang +6

Open-vocabulary segmentation of 3D scenes is a fundamental function of human perception and thus a crucial objective in computer vision research. However, this task is heavily impe…