Transformers

Sound3DVDet: 3D Sound Source Detection Using Multiview Microphone Array and RGB Images WACV 2024 SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation AAAI 2024 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning CoRL 2024 SparseFlow: Accelerating Transformers by Sparsifying Information Flows ACL 2024 SparseFormer: Sparse Visual Recognition via Limited Latent Tokens ICLR 2024 SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images AAAI 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications ICML 2024 Sparse MoE with Language Guided Routing for Multilingual Machine Translation ICLR 2024 Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics AAAI 2024 Spatial Transform Decoupling for Oriented Object Detection AAAI 2024 Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers ICLR 2024 Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders MIDL 2024 Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph AAAI 2024 SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration AAAI 2024 SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction CVPR 2024 Spectral Filters, Dark Signals, and Attention Sinks ACL 2024 Spectroformer: Multi-Domain Query Cascaded Transformer Network for Underwater Image Enhancement WACV 2024 Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration NeurIPS 2024 Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis IJCAI 2024 Speech Formants Integration for Generalized Detection of Synthetic Speech Spoofing Attacks Interspeech 2024 SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer AAAI 2024 Spider: A Unified Framework for Context-dependent Concept Segmentation ICML 2024 SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation NeurIPS 2024 Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips ICLR 2024 SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN ICML 2024