no code implementations • 25 Apr 2024 • Youmi Ma, An Wang, Naoaki Okazaki
In our proposal, annotators edit relation predictions from a model trained on the transferred dataset.
no code implementations • 16 Apr 2024 • Jieming Yu, Long Bai, Guankun Wang, An Wang, Xiaoxiao Yang, Huxin Gao, Hongliang Ren
Specifically, with a tiny subset of frames for segmentation, we ensure accurate segmentation across the entire surgical video.
1 code implementation • 27 Feb 2024 • Guodong Sun, Yuting Peng, Le Cheng, Mengya Xu, An Wang, Bo Wu, Hongliang Ren, Yang Zhang
The precise segmentation of ore images is critical to the successful execution of the beneficiation process.
1 code implementation • 10 Feb 2024 • Long Bai, Guankun Wang, Jie Wang, Xiaoxiao Yang, Huxin Gao, Xin Liang, An Wang, Mobarakol Islam, Hongliang Ren
Existing algorithms dedicated to surgical activity recognition predominantly cater to pre-defined closed-set paradigms, ignoring the challenges of real-world open-set scenarios.
1 code implementation • 10 Jan 2024 • Haonan Shi, Tu Ouyang, An Wang
The experiment results show that LDC-MIA can improve TPR at low FPR by up to 4x compared to the other difficulty calibration based MIAs.
2 code implementations • 31 Dec 2023 • Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolas Ayobi, Alejandra Perez, Santiago Rodriguez, Juanita Puentes, Pablo Arbelaez, Omid Mohareri, Danail Stoyanov
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems.
1 code implementation • 10 Dec 2023 • Yang Zhang, Huilin Pan, Mingying Li, An Wang, Yang Zhou, Hongliang Ren
Existing modeling shortcomings of spatial invariance and pooling layers in conventional CNNs often ignore the neglect of crucial global information, resulting in error localization for fault objection tasks of freight trains.
no code implementations • 14 Aug 2023 • An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren
Our extensive evaluation results reveal that although SAM shows remarkable zero-shot generalization ability with bounding box prompts, it struggles to segment the whole instrument with point-based prompts and unprompted settings.
1 code implementation • 5 Aug 2023 • Tianhang Liu, Hechen Li, Long Bai, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren
This paper proposes a transformer-based landmark detection solution with deformable DeTR and the semantic-aligned-matching module for detecting landmarks in robot-assisted intubation.
no code implementations • 5 Aug 2023 • Hechen Li, Yanan Wu, Long Bai, An Wang, Tong Chen, Hongliang Ren
Notably, we develop the segmentation annotations for this dataset ourselves.
1 code implementation • 12 Jul 2023 • Beilei Cui, Minqing Zhang, Mengya Xu, An Wang, Wu Yuan, Hongliang Ren
Therefore, Temporal Feature Affinity Learning (TFAL) is devised to indicate possible noisy labels by evaluating the affinity between pixels in two adjacent frames.
1 code implementation • 5 Jul 2023 • Long Bai, Tong Chen, Yanan Wu, An Wang, Mobarakol Islam, Hongliang Ren
Given the exuberant development of the denoising diffusion probabilistic model (DDPM) in computer vision, we introduce a WCE LLIE framework based on the multi-scale convolutional neural network (CNN) and reverse diffusion process.
1 code implementation • starsem 2023 • An Wang, Junfeng Jiang, Youmi Ma, Ao Liu, Naoaki Okazaki
Aspect sentiment quad prediction (ASQP) analyzes the aspect terms, opinion terms, sentiment polarity, and aspect categories in a text.
Ranked #3 on Aspect-Based Sentiment Analysis (ABSA) on ASQP
1 code implementation • 28 Jun 2023 • An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren
In this work, we mitigate data-related issues by efficiently leveraging minimal source images to generate synthetic surgical instrument segmentation datasets and achieve outstanding generalization performance on unseen real domains.
1 code implementation • 6 Jun 2023 • An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren
Accurate and robust medical image segmentation is fundamental and crucial for enhancing the autonomy of computer-aided diagnosis and intervention systems.
1 code implementation • 1 Jun 2023 • An Wang, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren
Furthermore, to produce reliable mixed pseudo labels, which enhance the effectiveness of ensemble learning, we introduce a novel adaptive pixel-wise fusion technique based on the entropy guidance from the spatial and spectral branches.
no code implementations • 11 May 2023 • Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saaed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Muhammad Bilal, Taofeek Akinosho, Adnan Qayyum, Massimo Caputo, Hunaid Vohra, Michael Loizou, Anuoluwapo Ajayi, Ilhem Berrou, Faatihah Niyi-Odumosu, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony Jarc
Unfortunately, obtaining the annotations needed to train machine learning models to identify and localize surgical tools is a difficult task.
no code implementations • 28 Apr 2023 • An Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren
In this empirical study, we investigate the robustness and zero-shot generalizability of the SAM in the domain of robotic surgery in various settings of (i) prompted vs. unprompted; (ii) bounding box vs. points-based prompt; (iii) generalization under corruptions and perturbations with five severity levels; and (iv) state-of-the-art supervised model vs. SAM.
1 code implementation • 17 Feb 2023 • Youmi Ma, An Wang, Naoaki Okazaki
First, we propose DREEAM, a memory-efficient approach that adopts evidence information as the supervisory signal, thereby guiding the attention modules of the DocRE system to assign high weights to evidence.
Ranked #1 on Relation Extraction on ReDocRED
2 code implementations • 23 Jun 2022 • An Wang, Mobarakol Islam, Mengya Xu, Hongliang Ren
Our empirical analysis suggests that without the high cost of data collection and annotation, we can achieve decent surgical instrument segmentation performance.
1 code implementation • ACL 2022 • Ao Liu, An Wang, Naoaki Okazaki
In this work, we propose a simple yet effective semi-supervised framework to better utilize source-side unlabeled sentences based on consistency training.
Ranked #1 on Formality Style Transfer on GYAFC (using extra training data)
no code implementations • 15 Feb 2022 • An Wang, Ao Liu, Hieu Hanh Le, Haruo Yokota
Entity-relation extraction aims to jointly solve named entity recognition (NER) and relation extraction (RE).
1 code implementation • EACL 2021 • Junfeng Jiang, An Wang, Akiko Aizawa
It aims to extract the corresponding opinion words for a given opinion target in a review sentence.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 21 Sep 2020 • Jaesung Yoo, Jeman Park, An Wang, David Mohaisen, Joongheon Kim
Generative Adversarial Network (GAN) is a useful type of Neural Networks in various types of applications including generative models and feature extraction.