1 code implementation • 22 Nov 2023 • Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao
Precise image segmentation provides clinical study with instructive information.
1 code implementation • CVPR 2018 • Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, ShiLiang Pu, Shuigeng Zhou
Existing methods on text recognition mainly work with regular (horizontal and frontal) texts and cannot be trivially generalized to handle irregular texts.
Ranked #9 on Scene Text Recognition on ICDAR 2003
Optical Character Recognition Optical Character Recognition (OCR) +1
1 code implementation • 25 Oct 2023 • Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
Highly effective, task-specific prompts are often heavily engineered by experts to integrate detailed instructions and domain insights based on a deep understanding of both instincts of large language models (LLMs) and the intricacies of the target task.
1 code implementation • 25 Nov 2023 • Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, JingJing Lu, Xianghua Ye, Ke Yan, Yong Xia
They use self-supervised learning to acquire a discriminative embedding for each voxel within the image.
1 code implementation • NAACL 2019 • Fan Bai, Alan Ritter
Our approach achieves state-of-the-art results on minimally supervised sentential relation extraction, outperforming a number of baselines, including a competitive approach that uses the attention layer of a purely neural model.
1 code implementation • 23 May 2023 • Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter
We use this collection of annotated tables to evaluate the ability of open-source and API-based language models to extract information from tables covering diverse domains and data formats.
Ranked #1 on Attribute Extraction on SWDE
1 code implementation • 18 Sep 2021 • Fan Bai, Fei Meng, Jianbang Liu, Jiankun Wang, Max Q. -H. Meng
Non-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping.
1 code implementation • 15 Aug 2022 • Fan Bai, Alan Ritter, Peter Madrid, Dayne Freitag, John Niekrasz
In this paper we present SynKB, an open-source, automatically extracted knowledge base of chemical synthesis protocols.
1 code implementation • EMNLP 2021 • Fan Bai, Alan Ritter, Wei Xu
Our experiments suggest task-specific data annotation should be part of an economical strategy when adapting an NLP model to a new domain.
2 code implementations • EACL 2021 • Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky
We develop Process Execution Graphs (PEG), a document-level representation of real-world wet lab biochemistry protocols, addressing challenges such as cross-sentence relations, long-range coreference, grounding, and implicit arguments.
1 code implementation • 7 Oct 2022 • Nghia T. Le, Fan Bai, Alan Ritter
As far as we are aware, this is the first work to present experimental results demonstrating the effectiveness of in-context learning on the task of few-shot anaphora resolution in scientific protocols.
2 code implementations • 12 Oct 2022 • Janvijay Singh, Fan Bai, Zhen Wang
Cross-task knowledge transfer via multi-task learning has recently made remarkable progress in general NLP tasks.
no code implementations • CVPR 2018 • Fan Bai, Zhanzhan Cheng, Yi Niu, ShiLiang Pu, Shuigeng Zhou
The advantage lies in that the training process can focus on the missing, superfluous and unrecognized characters, and thus the impact of the misalignment problem can be alleviated or even overcome.
no code implementations • ICCV 2017 • Zhanzhan Cheng, Fan Bai, Yunlu Xu, Gang Zheng, ShiLiang Pu, Shuigeng Zhou
FAN consists of two major components: an attention network (AN) that is responsible for recognizing character targets as in the existing methods, and a focusing network (FN) that is responsible for adjusting attention by evaluating whether AN pays attention properly on the target areas in the images.
no code implementations • 21 Jan 2017 • Dingxiong Deng, Fan Bai, Yiqi Tang, Shuigeng Zhou, Cyrus Shahabi, Linhong Zhu
In this paper, for the first time, we study label propagation in heterogeneous graphs under heterophily assumption.
no code implementations • 9 Nov 2016 • Yi-Hsuan Kao, Kwame Wright, Bhaskar Krishnamachari, Fan Bai
To the best of our knowledge, MABSTA is the first online algorithm in this domain of task assignment problems and provides provable performance guarantee.
no code implementations • 22 Jun 2020 • Jinghuang Lin, Zhanzhan Cheng, Fan Bai, Yi Niu, ShiLiang Pu, Shuigeng Zhou
Scene text recognition (STR) is still a hot research topic in computer vision field due to its various applications.
no code implementations • 18 Jan 2019 • Jingyu Zhang, HengYu Chen, Ruoyan Li, David A. Taft, Guang Yao, Fan Bai, Jianhua Xing
Many cellular responses to surrounding cues require temporally concerted transcriptional regulation of multiple genes.
no code implementations • 6 May 2021 • Fan Bai, Jiaxiang Wu, Pengcheng Shen, Shaoxin Li, Shuigeng Zhou
Face recognition has been extensively studied in computer vision and artificial intelligence communities in recent years.
no code implementations • 24 Jun 2021 • Xin Jin, Ji-Eun Lee, Charley Schaefer, Xinwei Luo, Adam J. M. Wollman, Alex L. Payne-Dwyer, Tian Tian, Xiaowei Zhang, Xiao Chen, Yingxing Li, Tom C. B. McLeish, Mark C. Leake, Fan Bai
Liquid-liquid phase separation is emerging as a crucial phenomenon in several fundamental cell processes.
no code implementations • 3 Nov 2021 • Fan Bai
We formulate a general age-of-infection epidemic model with two pathways: the symptomatic infections and the asymptomatic infections.
no code implementations • CUHK Course IERG5350 2020 • Fan Bai, Fei Meng
The literature about scene rearrangement focus on developing a move planner totransform a pair of layouts on a limited plane.
no code implementations • 29 Apr 2022 • Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou
In this paper, we present a novel method C3-STISR that jointly exploits the recognizer's feedback, visual and linguistical information as clues to guide super-resolution.
no code implementations • 7 Jul 2023 • Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, JingJing Lu, Ke Yan
We then use this SAM to identify corresponding regions on paired images using robust grid-points matching, followed by a point-set based affine/rigid registration, and a deformable fine-tuning step to produce registered paired images.
no code implementations • 9 Aug 2023 • Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q. -H. Meng
We evaluate our method on liver tumor segmentation and achieve state-of-the-art performance, outperforming traditional fine-tuning with only 6% of tunable parameters, also achieving 94% of full-data performance by labeling only 5% of the data.
no code implementations • 9 Aug 2023 • Fan Bai, Xiaohan Xing, Yutian SHEN, Han Ma, Max Q. -H. Meng
Specifically, to liberate labor, we design a novel discrepancy decoder model and a CAMPUS (CAM, Pseudo-label and groUnd-truth Selection) criterion to replace the noisy CAMs with accurate model predictions and a few human labels.
no code implementations • 29 Aug 2023 • Yuying Jiang, Fan Bai, ZiCheng Zhang, Xiaochen Ye, Zheng Liu, Zhiping Shi, Jianwei Yao, Xiaojun Liu, Fangkun Zhu, Junling Li Qian Guo, Xiaoan Wang, Junwen Luo
Here we develop a consumer-tier Visual-Brain Machine Inteface(V-BMI) system specialized for Augmented Reality(AR) glasses interactions.
no code implementations • 29 Feb 2024 • Fan Bai, Qianyu Chen, Yizhuo Xu
Heterogeneity of population is a key factor in modeling the transmission of disease among the population and has huge impact on the outcome of the transmission.