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Papers (including subtopics)

The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better NeurIPS 2024 The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement CVPR 2024 Three Pillars Improving Vision Foundation Model Distillation for Lidar CVPR 2024 TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process CVPR 2024 TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation AAAI 2024 TIM: A Time Interval Machine for Audio-Visual Action Recognition CVPR 2024 Time To Shine: Fine-Tuning Object Detection Models With Synthetic Adverse Weather Images WACV 2024 TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities AAAI 2024 TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation CVPR 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024 Top-Down Beats Bottom-Up in 3D Instance Segmentation WACV 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NeurIPS 2024 Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract) AAAI 2024 TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes NeurIPS 2024 TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning ICLR 2024 TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation AAAI 2024 TopViewRS: Vision-Language Models as Top-View Spatial Reasoners EMNLP 2024 TOSS: High-quality Text-guided Novel View Synthesis from a Single Image ICLR 2024 To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning ECCV 2024 Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction CVPR 2024 Toward Approaches to Scalability in 3D Human Pose Estimation NeurIPS 2024 Toward Availability Attacks in 3D Point Clouds ICML 2024 Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency NeurIPS 2024 Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024 Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors CoRL 2024