Paper Publications
- [1] LXM,CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models.THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 2,1272-1280.
- [2] LXM,Camouflaged Object Detection via Dual-branch Fusion and Dual Self-similarity constraints.Pattern Recognition,2024,157
- [3] LXM.EXPLORING TARGET REPRESENTATIONS FOR MASKED AUTOENCODERS.12th International Conference on Learning Representations, ICLR 2024,
- [4] LXM.FocSAM: Delving Deeply into Focused Objects in Segmenting Anything.arXiv,2024,
- [5] LXM.CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models.Proceedings of the AAAI Conference on Artificial Intelligence,2024,38(2):1272-1280.
- [6] LXM.DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis.arXiv,2024,
- [7] LXM.HODN: Disentangling Human-Object Feature for HOI Detection.arXiv,2023,
- [8] LXM.Camouflaged Object Detection Via Dual-Branch Fusion and Dual Self-Similarity Constraints.SSRN,2024,
- [9] LXM.Improving Human-Object Interaction Detection via Virtual Image Learning.arXiv,2023,
- [10] LXM.Improving Human-Object Interaction Detection via Virtual Image Learning.MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia,2023,5455-5463.
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