Ge-Peng Ji

Orcid: 0000-0001-7092-2877

According to our database1, Ge-Peng Ji authored at least 34 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Effectiveness Assessment of Recent Large Vision-Language Models.
CoRR, 2024

Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection.
CoRR, 2024

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer.
CoRR, 2024

2023
SAM struggles in concealed scenes - empirical study on "Segment Anything".
Sci. China Inf. Sci., December, 2023

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges.
Mach. Intell. Res., October, 2023

Advances in deep concealed scene understanding.
Vis. Intell., 2023

Masked Vision-language Transformer in Fashion.
Int. J. Autom. Comput., 2023

Deep Gradient Learning for Efficient Camouflaged Object Detection.
Int. J. Autom. Comput., 2023

Full-duplex strategy for video object segmentation.
Comput. Vis. Media, 2023

Large Model Based Referring Camouflaged Object Detection.
CoRR, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

Rethinking Polyp Segmentation from an Out-of-Distribution Perspective.
CoRR, 2023

2022
Camouflaged Object Detection via Context-Aware Cross-Level Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022

Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network.
Pattern Recognit., 2022

Siamese Network for RGB-D Salient Object Detection and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Re-Thinking Co-Salient Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Concealed Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Video Polyp Segmentation: A Deep Learning Perspective.
Int. J. Autom. Comput., 2022

Light field salient object detection: A review and benchmark.
Comput. Vis. Media, 2022

Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection.
CoRR, 2022

Video Polyp Segmentation: A Deep Learning Perspective.
CoRR, 2022

2021
ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos.
CoRR, 2021

Guidance and Teaching Network for Video Salient Object Detection.
CoRR, 2021

Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Progressively Normalized Self-Attention Network for Video Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Guidance And Teaching Network For Video Salient Object Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Camouflaged Object Segmentation With Distraction Mining.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.
IEEE Trans. Medical Imaging, 2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans.
CoRR, 2020

PraNet: Parallel Reverse Attention Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Polyp Segmentation via Parallel Reverse Attention Network.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Taking a Deeper Look at Co-Salient Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Camouflaged Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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