Core AI

RMT: Retentive Networks Meet Vision Transformers CVPR 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024 Robust Self-calibration of Focal Lengths from the Fundamental Matrix CVPR 2024 Robust Test-Time Adaptation for Zero-Shot Prompt Tuning AAAI 2024 Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data AAAI 2024 RoMa: Robust Dense Feature Matching CVPR 2024 RWKV-CLIP: A Robust Vision-Language Representation Learner EMNLP 2024 SA²VP: Spatially Aligned-and-Adapted Visual Prompt AAAI 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 SAOR: Single-View Articulated Object Reconstruction CVPR 2024 SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering EMNLP 2024 SBCFormer: Lightweight Network Capable of Full-Size ImageNet Classification at 1 FPS on Single Board Computers WACV 2024 Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment AAAI 2024 Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild CVPR 2024 Scaling White-Box Transformers for Vision NeurIPS 2024 Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training CVPR 2024 SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras CVPR 2024 SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching CVPR 2024 SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024 Seeing Motion at Nighttime with an Event Camera CVPR 2024 Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment NeurIPS 2024 Seeing the Unseen: Visual Common Sense for Semantic Placement CVPR 2024 SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution CVPR 2024 Segment Any Change NeurIPS 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024