Search Results for author: Shuai Chen

Found 22 papers, 5 papers with code

Source Identification: A Self-Supervision Task for Dense Prediction

no code implementations5 Jul 2023 Shuai Chen, Subhradeep Kayal, Marleen de Bruijne

The paradigm of self-supervision focuses on representation learning from raw data without the need of labor-consuming annotations, which is the main bottleneck of current data-driven methods.

blind source separation Brain Tumor Segmentation +5

Pay More Attention to Relation Exploration for Knowledge Base Question Answering

no code implementations3 May 2023 Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, Daniel Hershcovich

In this study, we propose a novel framework, RE-KBQA, that utilizes relations in the knowledge base to enhance entity representation and introduce additional supervision.

Knowledge Base Question Answering Relation +1

Refinement for Absolute Pose Regression with Neural Feature Synthesis

no code implementations17 Mar 2023 Shuai Chen, Yash Bhalgat, Xinghui Li, Jiawang Bian, Kejie Li, ZiRui Wang, Victor Adrian Prisacariu

Our approach encodes 3D geometric features during training and renders dense novel view features at test time to refine estimated camera poses from arbitrary APR methods.

regression Test

Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation

1 code implementation14 Sep 2022 Shuai Chen, Antonio Garcia-Uceda, Jiahang Su, Gijs van Tulder, Lennard Wolff, Theo van Walsum, Marleen de Bruijne

In this paper, we propose a novel label refinement method to correct such errors from an initial segmentation, implicitly incorporating information about label structure.

Computed Tomography (CT) Image Segmentation +3

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching

1 code implementation1 Apr 2022 Shuai Chen, Xinghui Li, ZiRui Wang, Victor Adrian Prisacariu

We introduce a camera relocalization pipeline that combines absolute pose regression (APR) and direct feature matching.

Camera Relocalization Novel View Synthesis +3

Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection

no code implementations4 Jan 2022 Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He

Thus, in this paper, we further propose a transfer framework to tackle the cross-domain fraud detection problem, which aims to transfer knowledge from existing domains (source domains) with enough and mature data to improve the performance in the new domain (target domain).

Fraud Detection

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis

no code implementations31 Dec 2021 Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He

Many prediction tasks of real-world applications need to model multi-order feature interactions in user's event sequence for better detection performance.

SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing

no code implementations3 Jul 2021 Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi

Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as computer vision, natural language processing, etc.

Management Product Recommendation +1

Direct-PoseNet: Absolute Pose Regression with Photometric Consistency

1 code implementation8 Apr 2021 Shuai Chen, ZiRui Wang, Victor Prisacariu

We present a relocalization pipeline, which combines an absolute pose regression (APR) network with a novel view synthesis based direct matching module, offering superior accuracy while maintaining low inference time.

Camera Relocalization Novel View Synthesis +1

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

no code implementations8 Aug 2020 Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He

In this paper, we propose the Dual Importance-aware Factorization Machines (DIFM), which exploits the internal field information among users' behavior sequence from dual perspectives, i. e., field value variations and field interactions simultaneously for fraud detection.

Fraud Detection Management

Region-of-interest guided Supervoxel Inpainting for Self-supervision

1 code implementation26 Jun 2020 Subhradeep Kayal, Shuai Chen, Marleen de Bruijne

Self-supervised learning has proven to be invaluable in making best use of all of the available data in biomedical image segmentation.

Image Inpainting Image Segmentation +2

A Deep Learning-Based System for PharmaCoNER

no code implementations WS 2019 Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou

The Biological Text Mining Unit at BSC and CNIO organized the first shared task on chemical {\&} drug mention recognition from Spanish medical texts called PharmaCoNER (Pharmacological Substances, Compounds and proteins and Named Entity Recognition track) in 2019, which includes two tracks: one for NER offset and entity classification (track 1) and the other one for concept indexing (track 2).

General Classification named-entity-recognition +2

A New Local Transformation Module for Few-shot Segmentation

no code implementations14 Oct 2019 Yuwei Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Xiaolong Xu, Shuai Chen

The result by the matrix transformation can be regarded as an attention map with high-level semantic cues, based on which a transformation module can be built simply. The proposed transformation module is a general module that can be used to replace the transformation module in the existing few-shot segmentation frameworks.

Few-Shot Semantic Segmentation Segmentation

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint

no code implementations21 Sep 2019 Kaixu Huang, Fanman Meng, Hongliang Li, Shuai Chen, Qingbo Wu, King N. Ngan

Moreover, a new orthogonal module and a two-branch based CAM generation method are proposed to generate class regions that are orthogonal and complementary.

Classification Clustering +1

HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets

no code implementations WS 2019 Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang

This is the system description of the Harbin Institute of Technology Shenzhen (HITSZ) team for the first and second subtasks of the fourth Social Media Mining for Health Applications (SMM4H) shared task in 2019.

Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation

1 code implementation29 Jul 2019 Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne

The reconstruction objective uses an attention mechanism that separates the reconstruction of image areas corresponding to different classes.

Image Segmentation Medical Image Segmentation +2

DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors

no code implementations15 Apr 2019 Shuai Chen, Jinpeng Li, Chuanqi Yao, Wenbo Hou, Shuo Qin, Wenyao Jin, Xu Tang

Working with multi-scale features, the designed dual scale residual unit makes dual scale detectors no longer run independently.

object-detection Object Detection

An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images

no code implementations8 Nov 2018 Shuai Chen, Marleen de Bruijne

Fully-connected Conditional Random Field (CRF) is often used as post-processing to refine voxel classification results by encouraging spatial coherence.

General Classification Semantic Segmentation

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