{"total":18,"rows":[{"id":"2203.14211","title":"DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation","created":"2022-03-27","cited_by_count":118,"area":null},{"id":"2207.04718","title":"Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches","created":"2022-07-11","cited_by_count":57,"area":null},{"id":"2301.13487","title":"Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks","created":"2023-01-31","cited_by_count":17,"area":null},{"id":"2410.10799","title":"Towards Foundation Models for 3D Vision: How Close Are We?","created":"2024-10-14","cited_by_count":13,"area":null},{"id":"2303.01351","title":"APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation","created":"2023-03-02","cited_by_count":10,"area":null},{"id":"2207.07032","title":"Adversarial Attacks on Monocular Pose Estimation","created":"2022-07-14","cited_by_count":6,"area":null},{"id":"2406.05857","title":"Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks","created":"2024-06-09","cited_by_count":5,"area":null},{"id":"2403.11515","title":"SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications","created":"2024-03-18","cited_by_count":4,"area":null},{"id":"2404.08540","title":"On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation","created":"2024-04-12","cited_by_count":4,"area":null},{"id":"2203.16130","title":"Sensor Data Validation and Driving Safety in Autonomous Driving Systems","created":"2022-03-30","cited_by_count":3,"area":null},{"id":"2409.17376","title":"Optical Lens Attack on Deep Learning Based Monocular Depth Estimation","created":"2024-09-25","cited_by_count":3,"area":null},{"id":"2411.13778","title":"A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles","created":"2024-11-21","cited_by_count":3,"area":null},{"id":"2401.07188","title":"Left-right Discrepancy for Adversarial Attack on Stereo Networks","created":"2024-01-14","cited_by_count":2,"area":null},{"id":"2305.10766","title":"Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend","created":"2023-05-18","cited_by_count":1,"area":null},{"id":"2411.00192","title":"Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2407.17312","title":"Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches","created":"2024-07-24","cited_by_count":0,"area":null},{"id":"2505.16154","title":"BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2509.19793","title":"BiTAA: A Bi-Task Adversarial Attack for Object Detection and Depth Estimation via 3D Gaussian Splatting","created":"2025-09-24","cited_by_count":0,"area":null}],"next_cursor":null}