Search Results for author: Jie Mei

Found 18 papers, 5 papers with code

Few-Shot Object Detection with Sparse Context Transformers

no code implementations14 Feb 2024 Jie Mei, Mingyuan Jiu, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu

Few-shot detection is a major task in pattern recognition which seeks to localize objects using models trained with few labeled data.

Few-Shot Object Detection Object +2

Cascaded Interaction with Eroded Deep Supervision for Salient Object Detection

no code implementations30 Nov 2023 Hewen Xiao, Jie Mei, Guangfu Ma, Weiren Wu

Deep convolutional neural networks have been widely applied in salient object detection and have achieved remarkable results in this field.

object-detection Object Detection +1

Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking

no code implementations6 Nov 2023 Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Chung-I Huang, Jenq-Neng Hwang

Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons.

Multi-Object Tracking

Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks

1 code implementation2 Nov 2023 Rouzbeh Meshkinnejad, Jie Mei, Daniel Lizotte, Yalda Mohsenzadeh

Contrastive representation learning has emerged as a promising technique for continual learning as it can learn representations that are robust to catastrophic forgetting and generalize well to unseen future tasks.

Continual Learning Representation Learning

HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring

no code implementations25 Feb 2022 Jie Mei, Suzanne Romain, Craig Rose, Kelsey Magrane, Jenq-Neng Hwang

The goal of electronic monitoring of longline fishing is to visually monitor the fish catching activities on fishing vessels based on cameras, either for regulatory compliance or catch counting.

Classification Class Incremental Learning +1

Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image

no code implementations23 Jan 2022 Jie Mei, Jingxi Yu, Suzanne Romain, Craig Rose, Kelsey Magrane, Graeme LeeSon, Jenq-Neng Hwang

Much progress has been made in the supervised learning of 3D reconstruction of rigid objects from multi-view images or a video.

3D Reconstruction

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization

1 code implementation NAACL 2021 Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng

MediaSum, a large-scale media interview dataset consisting of 463. 6K transcripts with abstractive summaries.

Transfer Learning

Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing

no code implementations9 Feb 2021 Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig Rose, Braden Moore, Kelsey Magrane

Finally, with a closed-form solution, the relative 3D fish pose can help locate absolute 3D keypoints, resulting in the frame-based absolute fish length measurement, which is further refined based on the statistical temporal inference for the optimal fish length measurement from the video clip.

3D Pose Estimation

Video-based Hierarchical Species Classification for Longline Fishing Monitoring

no code implementations6 Feb 2021 Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig Rose, Braden Moore, Kelsey Magrane

However, with a known non-overlapping hierarchical data structure provided by fisheries scientists, our method enforces the hierarchical data structure and introduces an efficient training and inference strategy for video-based fisheries data.

Classification General Classification

Seismic Facies Analysis: A Deep Domain Adaptation Approach

no code implementations20 Nov 2020 M Quamer Nasim, Tannistha Maiti, Ayush Srivastava, Tarry Singh, Jie Mei

The EAN achieved a pixel-level accuracy >84% and an accuracy of ~70% for the minority classes, showing improved performance compared to existing architectures.

Domain Adaptation

Machine learning for the diagnosis of Parkinson's disease: A systematic review

1 code implementation13 Oct 2020 Jie Mei, Christian Desrosiers, Johannes Frasnelli

Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and assessment of clinical signs, including the characterization of a variety of motor symptoms.

BIG-bench Machine Learning Decision Making

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

1 code implementation15 Apr 2020 Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng

The chest CT scan test provides a valuable complementary tool to the RT-PCR test, and it can identify the patients in the early-stage with high sensitivity.

COVID-19 Diagnosis General Classification +2

Statistical Learning for OCR Text Correction

no code implementations21 Nov 2016 Jie Mei, Aminul Islam, Yajing Wu, Abidalrahman Moh'd, Evangelos E. Milios

The accuracy of Optical Character Recognition (OCR) is crucial to the success of subsequent applications used in text analyzing pipeline.

Optical Character Recognition Optical Character Recognition (OCR)

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