- 2DMamba_ Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
- 3D Convex Splatting_ Radiance Field Rendering with 3D Smooth Convexes
- 3D Dental Model Segmentation with Geometrical Boundary Preserving
- 3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
- 3D Gaussian Inpainting with Depth-Guided Cross-View Consistency
- 3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation
- 3D Prior Is All You Need_ Cross-Task Few-shot 2D Gaze Estimation
- 3D Student Splatting and Scooping
- 3D-AVS_ LiDAR-based 3D Auto-Vocabulary Segmentation
- 3D-GRAND_ A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
- 3D-GSW_ 3D Gaussian Splatting for Robust Watermarking
- 3D-HGS_ 3D Half-Gaussian Splatting
- 3D-LLaVA_ Towards Generalist 3D LMMs with Omni Superpoint Transformer
- 3D-MVP_ 3D Multiview Pretraining for Manipulation
- 3D-Mem_ 3D Scene Memory for Embodied Exploration and Reasoning
- 3D-SLNR_ A Super Lightweight Neural Representation for Large-scale 3D Mapping
- 3DEnhancer_ Consistent Multi-View Diffusion for 3D Enhancement
- 3DGUT_ Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
- 3DTopia-XL_ Scaling High-quality 3D Asset Generation via Primitive Diffusion
- 4D LangSplat_ 4D Language Gaussian Splatting via Multimodal Large Language Models
- 4D-Fly_ Fast 4D Reconstruction from a Single Monocular Video
- 4DGC_ Rate-Aware 4D Gaussian Compression for Efficient Streamable Free-Viewpoint Video
- 4DTAM_ Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
- 4Deform_ Neural Surface Deformation for Robust Shape Interpolation
- 4Real-Video_ Learning Generalizable Photo-Realistic 4D Video Diffusion
- 5%_100%_ Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
- A Bias-Free Training Paradigm for More General AI-generated Image Detection
- A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
- A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
- A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
- A Dataset for Semantic Segmentation in the Presence of Unknowns
- A Distractor-Aware Memory for Visual Object Tracking with SAM2
- A Flag Decomposition for Hierarchical Datasets
- A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
- A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
- A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
- A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions
- A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
- A Physics-Informed Blur Learning Framework for Imaging Systems
- A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
- A Regularization-Guided Equivariant Approach for Image Restoration
- A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
- A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation
- A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
- A Simple yet Effective Layout Token in Large Language Models for Document Understanding
- A Stitch in Time Saves Nine_ Small VLM is a Precise Guidance for Accelerating Large VLMs
- A Tale of Two Classes_ Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
- A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains
- A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
- A Unified Framework for Heterogeneous Semi-supervised Learning