Xin Tan
Orcid: 0000-0001-9346-1196Affiliations:
- East China Normal University, Shanghai, China
- City University of Hong Kong, Hong Kong (former)
- Shanghai Jiao Tong University, China (PhD 2022)
According to our database1,
Xin Tan
authored at least 82 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
MSPAN: Multi-scale pyramid attention network for efficient skin cancer lesion segmentation.
IET Image Process., May, 2024
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Image Process., 2024
IEEE Trans. Image Process., 2024
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning.
IEEE Trans. Image Process., 2024
Displays, 2024
DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input.
CoRR, 2024
Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification.
CoRR, 2024
CoRR, 2024
CoRR, 2024
GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision.
CoRR, 2024
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Mutual Positive and Negative Learning for Weakly-supervised Point Cloud Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Isolation and Integration: A Strong Pre-trained Model-Based Paradigm for Class-Incremental Learning.
Proceedings of the Computational Visual Media - 12th International Conference, 2024
Proceedings of the Computational Visual Media - 12th International Conference, 2024
Leveraging Panoptic Prior for 3D Zero-Shot Semantic Understanding Within Language Embedded Radiance Fields.
Proceedings of the Computational Visual Media - 12th International Conference, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Comput. Graph., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
A new method proposed to Melanoma-skin cancer lesion detection and segmentation based on hybrid convolutional neural network.
Multim. Tools Appl., March, 2023
IET Image Process., February, 2023
ACM Trans. Multim. Comput. Commun. Appl., 2023
IEEE Trans. Image Process., 2023
IEEE Trans. Cybern., 2023
Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Self-supervised Contrastive Feature Refinement for Few-Shot Class-Incremental Learning.
Proceedings of the Computer-Aided Design and Computer Graphics, 2023
2022
Sketch-to-photo face generation based on semantic consistency preserving and similar connected component refinement.
Vis. Comput., 2022
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning.
CoRR, 2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.
CoRR, 2022
Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Proceedings of the 15th International Congress on Image and Signal Processing, 2022
2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Comput. Graph., 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum.
CoRR, 2020
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Learning Object Deformation and Motion Adaption for Semi-supervised Video Object Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
A Shape-Aware Feature Extraction Module for Semantic Segmentation of 3D Point Clouds.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Inf. Sci., 2019
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds.
CoRR, 2019
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Learning the Spiral Sharing Network with Minimum Salient Region Regression for Saliency Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018