Transformers

Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models CVPR 2023 Learning a Sparse Transformer Network for Effective Image Deraining CVPR 2023 Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution IJCAI 2023 Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples ICCV 2023 Learning Dictionary for Visual Attention NeurIPS 2023 Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation ICML 2023 Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix EMNLP 2023 Learning Event Guided High Dynamic Range Video Reconstruction CVPR 2023 Learning Expressive Prompting With Residuals for Vision Transformers CVPR 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NeurIPS 2023 Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach MLHC 2023 Learning Imbalanced Data With Vision Transformers CVPR 2023 Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis EMNLP 2023 Learning Language Representations with Logical Inductive Bias ICLR 2023 Learning Language-Specific Layers for Multilingual Machine Translation ACL 2023 Learning Local to Global Feature Aggregation for Speech Emotion Recognition Interspeech 2023 Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization CVPR 2023 Learning Navigational Visual Representations with Semantic Map Supervision ICCV 2023 Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution ICCV 2023 Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision CVPR 2023 Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance NeurIPS 2023 Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification AAAI 2023 Learning Second-Order Attentive Context for Efficient Correspondence Pruning AAAI 2023 Learning Subpocket Prototypes for Generalizable Structure-based Drug Design ICML 2023 Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization EMNLP 2023