{"total":25,"rows":[{"id":"2404.03635","title":"WorDepth: Variational Language Prior for Monocular Depth Estimation","created":"2024-04-04","cited_by_count":34,"area":null},{"id":"2411.19278","title":"OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration","created":"2024-11-28","cited_by_count":30,"area":null},{"id":"2501.18592","title":"Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models","created":"2025-01-30","cited_by_count":23,"area":null},{"id":"2410.02924","title":"RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions","created":"2024-10-03","cited_by_count":21,"area":null},{"id":"2503.16970","title":"Distilling Monocular Foundation Model for Fine-grained Depth Completion","created":"2025-03-21","cited_by_count":15,"area":null},{"id":"2503.12745","title":"ProtoDepth: Unsupervised Continual Depth Completion with Prototypes","created":"2025-03-17","cited_by_count":11,"area":null},{"id":"2508.04928","title":"Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens","created":"2025-08-06","cited_by_count":9,"area":null},{"id":"2405.17315","title":"All-day Depth Completion","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2410.04201","title":"IT$^3$: Idempotent Test-Time Training","created":"2024-10-05","cited_by_count":6,"area":null},{"id":"2410.18074","title":"UnCLe: Benchmarking Unsupervised Continual Learning for Depth Completion","created":"2024-10-23","cited_by_count":5,"area":null},{"id":"2503.16616","title":"Progressive Test Time Energy Adaptation for Medical Image Segmentation","created":"2025-03-20","cited_by_count":5,"area":null},{"id":"2503.17182","title":"Radar-Guided Polynomial Fitting for Metric Depth Estimation","created":"2025-03-21","cited_by_count":5,"area":null},{"id":"2506.02671","title":"Test-Time Distillation for Continual Model Adaptation","created":"2025-06-03","cited_by_count":5,"area":null},{"id":"2508.05989","title":"ETA: Energy-based Test-time Adaptation for Depth Completion","created":"2025-08-08","cited_by_count":4,"area":null},{"id":"2504.01596","title":"DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image","created":"2025-04-02","cited_by_count":3,"area":null},{"id":"2602.14751","title":"Depth Completion as Parameter-Efficient Test-Time Adaptation","created":"2026-02-16","cited_by_count":3,"area":null},{"id":"2603.01765","title":"StreamTTO: Efficient Online Test-Time Optimization for Video Depth Completion","created":"2026-03-02","cited_by_count":3,"area":null},{"id":"2508.04984","title":"Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2603.09798","title":"Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency","created":"2026-03-10","cited_by_count":2,"area":null},{"id":"2509.26498","title":"DEPTHOR++: Robust Depth Enhancement from a Real-World Lightweight dToF and RGB Guidance","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2608.20740","title":"VisTa3D: A Dataset and Benchmark for Thin Object Reconstruction from Vision, Tactile, and 3D Point Clouds","created":"2026-08-21","cited_by_count":1,"area":null},{"id":"2512.17908","title":"ReDepth Anything: Test-Time Depth Refinement via Self-Supervised Re-lighting","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2604.02009","title":"Test-Time Adaptation for Height Completion via Self-Supervised ViT Features and Monocular Foundation Models","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2608.27860","title":"From Perspective to Fisheye Depth Estimation and Open-Vocabulary Segmentation","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.06007","title":"Depth-to-Image Synthesis-Driven Generative Unguided Depth Completion","created":"2026-09-05","cited_by_count":0,"area":null}],"next_cursor":null}