Transformers

SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion CVPR 2025 SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation AAAI 2025 Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions CVPR 2025 Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing IJCAI 2025 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 shimig@DravidianLangTech2025: Stratification of Abusive content on Women in Social Media NAACL 2025 Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts ICML 2025 ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries AAAI 2025 Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning SemEval 2025 Show-o: One Single Transformer to Unify Multimodal Understanding and Generation ICLR 2025 ShowUI: One Vision-Language-Action Model for GUI Visual Agent CVPR 2025 SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction ACL 2025 SIGMA: Selective Gated Mamba for Sequential Recommendation AAAI 2025 Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation WACV 2025 SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale ACL 2025 SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation CVPR 2025 silp_nlp at SemEval-2025 Task 5: Subject Recommendation With Sentence Transformer SemEval 2025 Sim-DETR: Unlock DETR for Temporal Sentence Grounding ICCV 2025 Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking CVPR 2025 Simple Named Entity Recognition (NER) System with RoBERTa for Ancient Chinese NAACL 2025 SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments ICLR 2025 Simultaneous Translation with Offline Speech and LLM Models in CUNI Submission to IWSLT 2025 ACL 2025 Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches COLING 2025 Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves CVPR 2025 Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping ICCV 2025