Dongsheng Jiang

Orcid: 0000-0002-7390-9173

According to our database1, Dongsheng Jiang authored at least 25 papers between 2010 and 2024.

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

Timeline

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Links

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Bibliography

2024
SDPT: Semantic-Aware Dimension-Pooling Transformer for Image Segmentation.
IEEE Trans. Intell. Transp. Syst., November, 2024

Adaptive B-spline curve fitting with minimal control points using an improved sparrow search algorithm for geometric modeling of aero-engine blades.
Multim. Syst., October, 2024

Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype.
CoRR, 2024

ControlVideo: Training-free Controllable Text-to-video Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain-Adaptive Semantic Segmentation Emerges From Vision-Language Supervised Domain-Debiased Self-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Image Restoration Through Removing Degradations in Textual Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Improving Image Restoration through Removing Degradations in Textual Representations.
CoRR, 2023

Segment Anything in 3D with NeRFs.
CoRR, 2023

AiluRus: A Scalable ViT Framework for Dense Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Segment Anything in 3D with NeRFs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction.
CoRR, 2022

Adaptive Chinese Pinyin IME for Most Similar Representation.
IEEE Access, 2022

A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining.
Proceedings of the Computer Vision - ECCV 2022, 2022

SdAE: Self-distillated Masked Autoencoder.
Proceedings of the Computer Vision - ECCV 2022, 2022

Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2019
Image synthesis-based multi-modal image registration framework by using deep fully convolutional networks.
Medical Biol. Eng. Comput., 2019

2017
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.
CoRR, 2017

Multimodal image registration based on binary gradient angle descriptor.
Int. J. Comput. Assist. Radiol. Surg., 2017

2016
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration.
Int. J. Comput. Assist. Radiol. Surg., 2016

2011
Self-reconfiguration Path Planning Design for M-Lattice Robot Based on Genetic Algorithm.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

2010
A Novel Design for the Self-reconfigurable Robot Module and Connection Mechanism.
Proceedings of the Intelligent Robotics and Applications - Third International Conference, 2010


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