Conferences · eligible papers
CVPR
2022–2026 LIVE
2026 · 4,042 papers
このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
- Dexterous World Models
日本大学: 関与なし(対象大学)
- DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Models
日本大学: 関与なし(対象大学)
- DiGraphHal-Bench: Evaluating Multimodal Large Language Models on Complex Directed Graphs
日本大学: 関与なし(対象大学)
- DiP: Taming Diffusion Models in Pixel Space
日本大学: 関与なし(対象大学)
- DiT-Distill: Open-Set Fine-Grained Retrieval via Generative Curriculum Knowledge
日本大学: 関与なし(対象大学)
- DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
日本大学: 関与なし(対象大学)
- DiT360: High-Fidelity Panoramic Image Generation via Hybrid Training
日本大学: 関与なし(対象大学)
- Diagnose, Correct, and Learn from Manipulation Failures via Visual Symbols
日本大学: 関与なし(対象大学)
- Diagnosing and Repairing Unsafe Channels in Vision-Language Models via Causal Discovery and Dual-Modal Safety Subspace Projection
日本大学: 関与なし(対象大学)
- Diagram2Structure: Unlocking LLMs' Diagram Comprehension through DiagramDiff, a Framework for Structuring Offline Diagrams
日本大学: 関与なし(対象大学)
- DialogueVPR: Towards Conversational Visual Place Recognition
日本大学: 関与なし(対象大学)
- Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs
日本大学: 関与なし(対象大学)
- Diff-SemiER: Transparency-Aware Adaptive Fusion Diffusion Model with Generative Prior for Semi-Transparent Eyeglasses Removal
日本大学: 関与なし(対象大学)
- Diff4Splat: Repurposing Video Diffusion Models for Dynamic Scene Generation
日本大学: 関与なし(対象大学)
- DiffBMP: Differentiable Rendering with Bitmap Primitives
日本大学: 関与なし(対象大学)
- DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
日本大学: 関与なし(対象大学)
- DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
日本大学: 関与なし(対象大学)
- DiffSoup: Direct Differentiable Rasterization of Triangle Soup for Extreme Radiance Field Simplification
日本大学: 東京大学
- Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification
日本大学: 関与なし(対象大学)
- Differentiable Adaptive 4D Structured Illumination for Joint Capture of Shape and Reflectance
日本大学: 関与なし(対象大学)
- Differentiable Laplacian Matrix Guided Superpixel Segmentation
日本大学: 関与なし(対象大学)
- Differentiable Stroke Planning with Dual Parameterization for Efficient and High-Fidelity Painting Creation
日本大学: 関与なし(対象大学)
- Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
日本大学: 関与なし(対象大学)
- Differentially Private 2D Human Pose Estimation
日本大学: 関与なし(対象大学)
- DiffuView: Multi-View Diffusion Pretraining for 3D Aware Robotic Manipulation
日本大学: 関与なし(対象大学)
- Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving
日本大学: 関与なし(対象大学)
- Diffusion Guided Chain-of-Vision for Large Autoregressive Vision Models
日本大学: 関与なし(対象大学)
- Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)
日本大学: 関与なし(対象大学)
- Diffusion Mental Averages
日本大学: 関与なし(対象大学)
- Diffusion Probe: Generated Image Result Prediction Using CNN Probes
日本大学: 関与なし(対象大学)
- Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering
日本大学: 関与なし(対象大学)
- Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
日本大学: 関与なし(対象大学)
- Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
日本大学: 関与なし(対象大学)
- Diffusion-Based Native Adversarial Synthesis for Enhanced Medical Segmentation Generalization
日本大学: 関与なし(対象大学)
- Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning
日本大学: 関与なし(対象大学)
- DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization
日本大学: 関与なし(対象大学)
- DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer
日本大学: 関与なし(対象大学)
- Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation
日本大学: 関与なし(対象大学)
- DirectFisheye-GS: Enabling Native Fisheye Input in Gaussian Splatting with Cross-View Joint Optimization
日本大学: 関与なし(対象大学)
- Direction-aware 3D Large Multimodal Models
日本大学: 東京大学
- DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching
日本大学: 関与なし(対象大学)
- Disco-GS: Gaussian Splatting in Dynamic Color Lighting
日本大学: 関与なし(対象大学)
- Discover, Segment, and Select: A Progressive Mechanism for Zero-shot Camouflaged Object Segmentation
日本大学: 関与なし(対象大学)
- Discovering Adaptive Task Dependencies for Efficient Multi-Task Representation Compression
日本大学: 関与なし(対象大学)
- Discriminative Perception via Anchored Description for Reasoning Segmentation
日本大学: 関与なし(対象大学)
- Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement
日本大学: 関与なし(対象大学)
- Disentangled Textual Priors for Diffusion-based Image Super-Resolution
日本大学: 関与なし(対象大学)
- Disentanglement-wise Image Dehazing through Cross-Domain Manifold Consensus
日本大学: 関与なし(対象大学)
- Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation
日本大学: 関与なし(対象大学)
- Distilling Balanced Knowledge from a Biased Teacher
日本大学: 関与なし(対象大学)
- Distilling Quasi-Conformal Mapping: A Generalizable and Efficient Solution for Wide-Angle Correction
日本大学: 関与なし(対象大学)
- Distilling Unsigned Distance Function for Surface Reconstruction from 3D Gaussian Splatting
日本大学: 関与なし(対象大学)
- Distributed Image Compression with Multimodal Side Information at Extremely Low Bitrates
日本大学: 関与なし(対象大学)
- Distribution-Aligned Multimodal Fusion for Robust Object Detection
日本大学: 関与なし(対象大学)
- Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization
日本大学: 関与なし(対象大学)
- DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers
日本大学: 関与なし(対象大学)
- DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO
日本大学: 関与なし(対象大学)
- Diversity over Uniformity: Rethinking Representation in Generated Image Detection
日本大学: 関与なし(対象大学)
- Divide, Conquer, and Aggregate: Asymmetric Experts for Class-Imbalanced Semi-Supervised Medical Image Segmentation
日本大学: 関与なし(対象大学)
- Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding
日本大学: 関与なし(対象大学)
- Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
日本大学: 関与なし(対象大学)
- Do VLMs Perceive or Recall? Probing Visual Perception vs. Memory with Classic Visual Illusions
日本大学: 関与なし(対象大学)
- Do Vision-Language Models Leak What They Learn? Adaptive Token-Weighted Model Inversion Attacks
日本大学: 関与なし(対象大学)
- Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench
日本大学: 関与なし(対象大学)
- Do You Have Freestyle? Expressive Humanoid Locomotion via Audio Control
日本大学: 関与なし(対象大学)
- Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering
日本大学: 関与なし(対象大学)
- DocPrune: Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning
日本大学: 関与なし(対象大学)
- DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding
日本大学: 関与なし(対象大学)
- Does YOLO Really Need to See Every Training Image in Every Epoch?
日本大学: 関与なし(対象大学)
- Domain Sensitive Federated Learning with Fisher-Informed Pruning
日本大学: 関与なし(対象大学)
- Domain-Skewed Federated Learning with Feature Decoupling and Calibration
日本大学: 関与なし(対象大学)
- Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs
日本大学: 関与なし(対象大学)
- Downscaling Intelligence: Exploring Perception and Reasoning Bottlenecks in Small Multimodal Models
日本大学: 関与なし(対象大学)
- Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design
日本大学: 関与なし(対象大学)
- Dr.Occ: Depth- and Region-Guided 3D Occupancy from Surround-View Cameras for Autonomous Driving
日本大学: 関与なし(対象大学)
- Drainage: A Unifying Framework for Addressing Class Uncertainty
日本大学: 関与なし(対象大学)
- DreamOmni2: Multimodal Instruction-based Generation and Editing
日本大学: 関与なし(対象大学)
- DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration
日本大学: 関与なし(対象大学)
- DreamSR: Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion Transformer
日本大学: 関与なし(対象大学)
- DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior
日本大学: 関与なし(対象大学)
- DreamStereo: Towards Real-Time Stereo Inpainting for HD Videos
日本大学: 関与なし(対象大学)
- DreamStyle: A Unified Framework for Video Stylization
日本大学: 関与なし(対象大学)
- DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models
日本大学: 関与なし(対象大学)
- Drift-Resilient Temporal Priors for Visual Tracking
日本大学: 関与なし(対象大学)
- Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
日本大学: 関与なし(対象大学)
- DriveCombo: Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving
日本大学: 関与なし(対象大学)
- DriveLaW: Unifying Planning and Video Generation in a Latent Driving World
日本大学: 関与なし(対象大学)
- DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
日本大学: 関与なし(対象大学)
- DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning
日本大学: 関与なし(対象大学)
- DrivePTS: A Progressive Learning Framework with Textual and Structural Enhancement for Driving Scene Generation
日本大学: 関与なし(対象大学)
- DriveVLN: Towards Mapless Vision-and-Language Navigation in Autonomous Driving
日本大学: 関与なし(対象大学)
- DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance
日本大学: 関与なし(対象大学)
- Driving on Registers
日本大学: 関与なし(対象大学)
- Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting
日本大学: 東京大学
- Dual Ascent Diffusion for Inverse Problems
日本大学: 関与なし(対象大学)
- Dual Band Thermal Videography: Separating Time-Varying Reflection and Emission Near Ambient Conditions
日本大学: 関与なし(対象大学)
- Dual Graph Regularized Deep Unfolding Network for Guided Depth Map Super-resolution
日本大学: 関与なし(対象大学)
- Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry
日本大学: 関与なし(対象大学)
- Dual-Estimator: Decoupling Global and Local Semantic Shift for Drift Compensation in Class-Incremental Learning
日本大学: 関与なし(対象大学)
- Dual-Granularity Memory for Efficient Video Generation
日本大学: 関与なし(対象大学)