2025
DefMamba: Deformable Visual State Space Model.
CoRR, April, 2025
Universal Fine-Grained Visual Categorization by Concept Guided Learning.
IEEE Trans. Image Process., 2025
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization.
IEEE Trans. Image Process., 2025
GAD: Domain generalized diabetic retinopathy grading by grade-aware de-stylization.
Pattern Recognit., 2025
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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.
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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.
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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