Wei Ji

Orcid: 0000-0003-4059-5902

Affiliations:
  • University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
  • Dalian University of Technology, School of Software Technology, China


According to our database1, Wei Ji authored at least 33 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Universal Fine-Grained Visual Categorization by Concept Guided Learning.
IEEE Trans. Image Process., 2025

2024
Correction to: Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications.
Mach. Intell. Res., December, 2024

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications.
Mach. Intell. Res., August, 2024

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation.
CoRR, 2024

GOOD: Towards Domain Generalized Orientated Object Detection.
CoRR, 2024

Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization.
CoRR, 2024

Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Spider: A Unified Framework for Context-dependent Concept Segmentation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Delving into Calibrated Depth for Accurate RGB-D Salient Object Detection.
Int. J. Comput. Vis., April, 2023

Learning rotation equivalent scene representation from instance-level semantics: A novel top-down perspective.
Comput. Vis. Image Underst., March, 2023

C$^{2}$DFNet: Criss-Cross Dynamic Filter Network for RGB-D Salient Object Detection.
IEEE Trans. Multim., 2023

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications.
CoRR, 2023

DVSOD: RGB-D Video Salient Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DMRA: Depth-Induced Multi-Scale Recurrent Attention Network for RGB-D Saliency Detection.
IEEE Trans. Image Process., 2022

TW-GAN: Topology and width aware GAN for retinal artery/vein classification.
Medical Image Anal., 2022

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring Denoised Cross-video Contrast for Weakly-supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generating Diverse and Natural 3D Human Motions from Text.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Human Pose and Shape Estimation from Single Polarization Images.
CoRR, 2021

Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Calibrated RGB-D Salient Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
LFNet: Light Field Fusion Network for Salient Object Detection.
IEEE Trans. Image Process., 2020

Accurate RGB-D Salient Object Detection via Collaborative Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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