Architectures

ODIN: A Single Model for 2D and 3D Segmentation CVPR 2024 ODTrack: Online Dense Temporal Token Learning for Visual Tracking AAAI 2024 OFELIA: Optical Flow-based Electrode LocalIzAtion MIDL 2024 Offline and Online Optical Flow Enhancement for Deep Video Compression AAAI 2024 Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data CoNLL 2024 OLIVE: Object Level In-Context Visual Embeddings ACL 2024 OMG-Seg: Is One Model Good Enough For All Segmentation? CVPR 2024 OmniGlue: Generalizable Feature Matching with Foundation Model Guidance CVPR 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NeurIPS 2024 Omni-Kernel Network for Image Restoration AAAI 2024 OmniMotionGPT: Animal Motion Generation with Limited Data CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024 OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation NeurIPS 2024 OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024 On a Neural Implementation of Brenier’s Polar Factorization ICML 2024 On Bias-Variance Alignment in Deep Models ICLR 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis ICML 2024 On dimensionality of feature vectors in MPNNs ICML 2024 On Efficiently Representing Regular Languages as RNNs ACL 2024 OneFormer3D: One Transformer for Unified Point Cloud Segmentation CVPR 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems AAAI 2024