Transformers

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images AAAI 2025 M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localization ICCV 2025 M3amba: Memory Mamba is All You Need for Whole Slide Image Classification CVPR 2025 MADGEN: Mass-Spec attends to De Novo Molecular generation ICLR 2025 MAESTRO: Masked Encoding Set Transformer with Self-Distillation ICLR 2025 MagicArticulate: Make Your 3D Models Articulation-Ready CVPR 2025 MagicMirror: ID-Preserved Video Generation in Video Diffusion Transformers ICCV 2025 MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models IJCAI 2025 MAGMA: Manifold Regularization for MAEs WACV 2025 MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities ACL 2025 MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration CVPR 2025 Making Transformer Decoders Better Differentiable Indexers ICLR 2025 MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection AAAI 2025 MambaIRv2: Attentive State Space Restoration CVPR 2025 Mamba Knockout for Unraveling Factual Information Flow ACL 2025 MambaLCT: Boosting Tracking via Long-term Context State Space Model AAAI 2025 MambaML: Exploring State Space Models for Multi-Label Image Classification ICCV 2025 MambaOut: Do We Really Need Mamba for Vision? CVPR 2025 MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba ICLR 2025 MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt AAAI 2025 Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025 Mamba-ST: State Space Model for Efficient Style Transfer WACV 2025 MambaVision: A Hybrid Mamba-Transformer Vision Backbone CVPR 2025 Mamba YOLO: A Simple Baseline for Object Detection with State Space Model AAAI 2025 MAMS: Model-Agnostic Module Selection Framework for Video Captioning AAAI 2025