no code implementations • 20 Dec 2022 • Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata
Many business workflows require extracting important fields from form-like documents (e. g. bank statements, bills of lading, purchase orders, etc.).
no code implementations • 15 Nov 2022 • Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata
Understanding visually-rich business documents to extract structured data and automate business workflows has been receiving attention both in academia and industry.
no code implementations • 28 Oct 2022 • Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata
A key bottleneck in building automatic extraction models for visually rich documents like invoices is the cost of acquiring the several thousand high-quality labeled documents that are needed to train a model with acceptable accuracy.
no code implementations • 8 Aug 2021 • Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang
COVID-19 has caused lasting damage to almost every domain in public health, society, and economy.
no code implementations • 23 Jun 2021 • Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang
To facilitate various downstream applications using clinical case reports (CCRs), we pre-train two deep contextualized language models, Clinical Embeddings from Language Model (C-ELMo) and Clinical Contextual String Embeddings (C-Flair) using the clinical-related corpus from the PubMed Central.
2 code implementations • CVPR 2021 • Yichao Zhou, Shichen Liu, Yi Ma
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks.
no code implementations • 28 Feb 2021 • Yichao Zhou, Wei-Ting Chen, BoWen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
Clinical case reports are written descriptions of the unique aspects of a particular clinical case, playing an essential role in sharing clinical experiences about atypical disease phenotypes and new therapies.
2 code implementations • 7 Jan 2021 • Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata
There has been a steady need to precisely extract structured knowledge from the web (i. e. HTML documents).
no code implementations • ICCV 2021 • Shichen Liu, Yichao Zhou, Yajie Zhao
Being able to infer 3D structures from 2D images with geometric principles, vanishing points have been a well-recognized concept in 3D vision research.
2 code implementations • 16 Dec 2020 • Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
There has been a steady need in the medical community to precisely extract the temporal relations between clinical events.
no code implementations • NeurIPS 2020 • Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma
The optimization problems associated with training generative adversarial neural networks can be largely reduced to certain {\em non-monotone} variational inequality problems (VIPs), whereas existing convergence results are mostly based on monotone or strongly monotone assumptions.
1 code implementation • EMNLP 2020 • Rujun Han, Yichao Zhou, Nanyun Peng
Extracting event temporal relations is a critical task for information extraction and plays an important role in natural language understanding.
no code implementations • 17 Aug 2020 • Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
Since major ad platforms typically run A/B tests for multiple advertisers in parallel, we explore the possibility of collaboratively learning ad creative refinement via A/B tests of multiple advertisers.
1 code implementation • 7 Aug 2020 • Yichao Zhou, Jingwei Huang, Xili Dai, Shichen Liu, Linjie Luo, Zhili Chen, Yi Ma
We present HoliCity, a city-scale 3D dataset with rich structural information.
no code implementations • ACL 2020 • Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
In this paper, we propose Pronunciation-attentive Contextualized Pun Recognition (PCPR) to perceive human humor, detect if a sentence contains puns and locate them in the sentence.
2 code implementations • 17 Jun 2020 • Yichao Zhou, Shichen Liu, Yi Ma
In this work, we focus on object-level 3D reconstruction and present a geometry-based end-to-end deep learning framework that first detects the mirror plane of reflection symmetry that commonly exists in man-made objects and then predicts depth maps by finding the intra-image pixel-wise correspondence of the symmetry.
1 code implementation • 29 Apr 2020 • Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
In this paper, we propose Pronunciation-attentive Contextualized Pun Recognition (PCPR) to perceive human humor, detect if a sentence contains puns and locate them in the sentence.
1 code implementation • 20 Jan 2020 • Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
There is a perennial need in the online advertising industry to refresh ad creatives, i. e., images and text used for enticing online users towards a brand.
1 code implementation • NeurIPS 2019 • Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma
We present a simple yet effective end-to-end trainable deep network with geometry-inspired convolutional operators for detecting vanishing points in images.
1 code implementation • IJCNLP 2019 • Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang
To identify adversarial attacks, a perturbation discriminator validates how likely a token in the text is perturbed and provides a set of potential perturbations.
2 code implementations • ICCV 2019 • Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities.
1 code implementation • ICCV 2019 • Yichao Zhou, Haozhi Qi, Yi Ma
We conduct extensive experiments and show that our method significantly outperforms the previous state-of-the-art wireframe and line extraction algorithms.
Ranked #3 on
Line Segment Detection
on wireframe dataset
(sAP15 metric)
1 code implementation • ICCV 2019 • Jingwei Huang, Yichao Zhou, Thomas Funkhouser, Leonidas Guibas
In this work, we introduce the novel problem of identifying dense canonical 3D coordinate frames from a single RGB image.
no code implementations • 18 Dec 2018 • Yichao Zhou, Wei Chu, Sam Young, Xin Chen
In the learning stage, a sequence of stylistically uniform, multiple-channel music samples was modeled by a RNN.
1 code implementation • EMNLP 2018 • Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang
Word embedding models have become a fundamental component in a wide range of Natural Language Processing (NLP) applications.
no code implementations • 8 Dec 2014 • Yichao Zhou, Yuexin Wu, Jianyang Zeng
The computation of the global minimum energy conformation (GMEC) is an important and challenging topic in structure-based computational protein design.