{"list":"other","total":62,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1506.01497","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","created":"2015-06-04","cited_by_count":9639},{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"1412.6572","title":"Explaining and Harnessing Adversarial Examples","created":"2014-12-20","cited_by_count":7364},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"2308.04079","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering","created":"2023-08-08","cited_by_count":6226},{"id":"2010.04159","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","created":"2020-10-08","cited_by_count":3422},{"id":"1608.04644","title":"Towards Evaluating the Robustness of Neural Networks","created":"2016-08-16","cited_by_count":2998},{"id":"1804.02767","title":"YOLOv3: An Incremental Improvement","created":"2018-04-08","cited_by_count":2659},{"id":"1711.03938","title":"CARLA: An Open Urban Driving Simulator","created":"2017-11-10","cited_by_count":2449},{"id":"2102.12122","title":"Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions","created":"2021-02-24","cited_by_count":1962},{"id":"2203.03605","title":"DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection","created":"2022-03-07","cited_by_count":1319},{"id":"2112.03857","title":"Grounded Language-Image Pre-training","created":"2021-12-07","cited_by_count":1156},{"id":"2107.08430","title":"YOLOX: Exceeding YOLO Series in 2021","created":"2021-07-18","cited_by_count":1071},{"id":"2311.12775","title":"SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering","created":"2023-11-21","cited_by_count":616},{"id":"1712.09665","title":"Adversarial Patch","created":"2017-12-27","cited_by_count":517},{"id":"1711.07566","title":"Neural 3D Mesh Renderer","created":"2017-11-20","cited_by_count":437},{"id":"1904.08653","title":"Fooling automated surveillance cameras: adversarial patches to attack person detection","created":"2019-04-18","cited_by_count":268},{"id":"2311.17977","title":"GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces","created":"2023-11-29","cited_by_count":252},{"id":"2311.16473","title":"GS-IR: 3D Gaussian Splatting for Inverse Rendering","created":"2023-11-26","cited_by_count":224},{"id":"1807.07769","title":"Physical Adversarial Examples for Object Detectors","created":"2018-07-20","cited_by_count":163},{"id":"2311.16043","title":"Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing","created":"2023-11-27","cited_by_count":142},{"id":"2407.07090","title":"3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes","created":"2024-07-09","cited_by_count":139},{"id":"2103.01050","title":"Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World","created":"2021-03-01","cited_by_count":127},{"id":"2003.08757","title":"Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles","created":"2020-03-08","cited_by_count":126},{"id":"1811.12641","title":"Transferable Adversarial Attacks for Image and Video Object Detection","created":"2018-11-30","cited_by_count":109},{"id":"2203.03373","title":"Adversarial Texture for Fooling Person Detectors in the Physical World","created":"2022-03-07","cited_by_count":96},{"id":"1909.04326","title":"Universal Physical Camouflage Attacks on Object Detectors","created":"2019-09-10","cited_by_count":91},{"id":"2312.05133","title":"GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization","created":"2023-12-08","cited_by_count":87},{"id":"2201.08970","title":"Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection","created":"2022-01-22","cited_by_count":79},{"id":"2109.07193","title":"FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack","created":"2021-09-15","cited_by_count":74},{"id":"2002.02175","title":"An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models","created":"2020-02-06","cited_by_count":68},{"id":"2008.00217","title":"Efficient Adversarial Attacks for Visual Object Tracking","created":"2020-08-01","cited_by_count":66},{"id":"2302.09491","title":"X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection","created":"2023-02-19","cited_by_count":59},{"id":"2008.01919","title":"Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples","created":"2020-08-05","cited_by_count":56},{"id":"2209.07790","title":"A Large-scale Multiple-objective Method for Black-box Attack against Object Detection","created":"2022-09-16","cited_by_count":55},{"id":"2203.09831","title":"DTA: Physical Camouflage Attacks using Differentiable Transformation Network","created":"2022-03-18","cited_by_count":51},{"id":"2304.11234","title":"Advances in Deep Concealed Scene Understanding","created":"2023-04-21","cited_by_count":47},{"id":"2310.17626","title":"A Survey on Transferability of Adversarial Examples across Deep Neural Networks","created":"2023-10-26","cited_by_count":44},{"id":"2505.21494","title":"Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment","created":"2025-05-27","cited_by_count":43},{"id":"2307.01778","title":"Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling","created":"2023-07-04","cited_by_count":41},{"id":"2007.16118","title":"Physical Adversarial Attack on Vehicle Detector in the Carla Simulator","created":"2020-07-31","cited_by_count":38},{"id":"2308.11894","title":"Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack","created":"2023-08-23","cited_by_count":37},{"id":"2503.07535","title":"LBM: Latent Bridge Matching for Fast Image-to-Image Translation","created":"2025-03-10","cited_by_count":36},{"id":"1908.09327","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","created":"2019-08-25","cited_by_count":35},{"id":"2210.09482","title":"You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks","created":"2022-10-18","cited_by_count":32},{"id":"2308.07009","title":"ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion","created":"2023-08-14","cited_by_count":31},{"id":"2312.09558","title":"Towards Transferable Targeted 3D Adversarial Attack in the Physical World","created":"2023-12-15","cited_by_count":25},{"id":"2403.05247","title":"Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds","created":"2024-03-08","cited_by_count":24},{"id":"2410.24204","title":"GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering","created":"2024-10-31","cited_by_count":22},{"id":"2210.16765","title":"Benchmarking Adversarial Patch Against Aerial Detection","created":"2022-10-30","cited_by_count":21},{"id":"2408.04474","title":"LumiGauss: Relightable Gaussian Splatting in the Wild","created":"2024-08-06","cited_by_count":21},{"id":"2402.15853","title":"RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation","created":"2024-02-24","cited_by_count":18},{"id":"2411.02669","title":"Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack","created":"2024-11-04","cited_by_count":18},{"id":"2305.01074","title":"Physical Adversarial Attacks for Surveillance: A Survey","created":"2023-05-01","cited_by_count":15},{"id":"2403.16271","title":"Object Detectors in the Open Environment: Challenges, Solutions, and Outlook","created":"2024-03-24","cited_by_count":13},{"id":"2405.07595","title":"Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection","created":"2024-05-13","cited_by_count":11},{"id":"2507.01367","title":"3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation","created":"2025-07-02","cited_by_count":7},{"id":"2210.08870","title":"Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors","created":"2022-10-17","cited_by_count":6},{"id":"2508.05414","title":"Physical Adversarial Camouflage through Gradient Calibration and Regularization","created":"2025-08-07","cited_by_count":3},{"id":"2411.10029","title":"Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors","created":"2024-11-15","cited_by_count":1}],"next_cursor":null}