{"total":188,"rows":[{"id":"2401.10891","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","created":"2024-01-19","cited_by_count":1360,"area":null},{"id":"2206.10092","title":"BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection","created":"2022-06-21","cited_by_count":572,"area":null},{"id":"2205.15997","title":"TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving","created":"2022-05-31","cited_by_count":485,"area":"driving"},{"id":"2104.10956","title":"FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection","created":"2021-04-22","cited_by_count":447,"area":null},{"id":"2104.09224","title":"Multi-Modal Fusion Transformer for End-to-End Autonomous Driving","created":"2021-04-19","cited_by_count":377,"area":"driving"},{"id":"2108.06417","title":"Is Pseudo-Lidar needed for Monocular 3D Object detection?","created":"2021-08-13","cited_by_count":249,"area":null},{"id":"2102.00463","title":"PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection","created":"2021-01-31","cited_by_count":232,"area":null},{"id":"2206.00630","title":"Unifying Voxel-based Representation with Transformer for 3D Object Detection","created":"2022-06-01","cited_by_count":202,"area":null},{"id":"2207.10660","title":"Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild","created":"2022-07-21","cited_by_count":160,"area":null},{"id":"2206.15398","title":"PolarFormer: Multi-camera 3D Object Detection with Polar Transformer","created":"2022-06-30","cited_by_count":147,"area":null},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2208.02797","title":"Vision-Centric BEV Perception: A Survey","created":"2022-08-04","cited_by_count":126,"area":null},{"id":"2209.05324","title":"Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe","created":"2022-09-12","cited_by_count":122,"area":null},{"id":"2104.03866","title":"SMD-Nets: Stereo Mixture Density Networks","created":"2021-04-08","cited_by_count":120,"area":null},{"id":"2203.10981","title":"MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer","created":"2022-03-21","cited_by_count":109,"area":null},{"id":"2106.10823","title":"3D Object Detection for Autonomous Driving: A Survey","created":"2021-06-21","cited_by_count":106,"area":null},{"id":"2307.04370","title":"Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey","created":"2023-07-10","cited_by_count":103,"area":"driving"},{"id":"2205.00613","title":"MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries","created":"2022-05-02","cited_by_count":91,"area":null},{"id":"2203.13310","title":"MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection","created":"2022-03-24","cited_by_count":86,"area":null},{"id":"2103.16470","title":"Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection","created":"2021-03-30","cited_by_count":84,"area":null},{"id":"2203.09780","title":"Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion","created":"2022-03-18","cited_by_count":82,"area":null},{"id":"2203.13608","title":"Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task","created":"2022-03-25","cited_by_count":81,"area":null},{"id":"2303.03595","title":"LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion","created":"2023-03-07","cited_by_count":80,"area":null},{"id":"2202.02703","title":"Multi-modal Sensor Fusion for Auto Driving Perception: A Survey","created":"2022-02-06","cited_by_count":76,"area":null},{"id":"2203.15118","title":"LiDAR Snowfall Simulation for Robust 3D Object Detection","created":"2022-03-28","cited_by_count":73,"area":null},{"id":"2108.08258","title":"LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector","created":"2021-08-18","cited_by_count":70,"area":null},{"id":"2201.06493","title":"AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection","created":"2022-01-17","cited_by_count":70,"area":null},{"id":"2201.10830","title":"MonoDistill: Learning Spatial Features for Monocular 3D Object Detection","created":"2022-01-26","cited_by_count":68,"area":null},{"id":"2202.02980","title":"3D Object Detection from Images for Autonomous Driving: A Survey","created":"2022-02-07","cited_by_count":66,"area":null},{"id":"2106.12735","title":"Multi-Modal 3D Object Detection in Autonomous Driving: a Survey","created":"2021-06-24","cited_by_count":63,"area":null},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"area":null},{"id":"2111.10502","title":"CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation","created":"2021-11-20","cited_by_count":56,"area":null},{"id":"2108.05793","title":"Progressive Coordinate Transforms for Monocular 3D Object Detection","created":"2021-08-12","cited_by_count":52,"area":null},{"id":"2403.02710","title":"FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View","created":"2024-03-05","cited_by_count":51,"area":null},{"id":"2205.15938","title":"Voxel Field Fusion for 3D Object Detection","created":"2022-05-31","cited_by_count":50,"area":null},{"id":"2112.11088","title":"EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection","created":"2021-12-21","cited_by_count":49,"area":null},{"id":"2111.14382","title":"VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion","created":"2021-11-29","cited_by_count":48,"area":null},{"id":"2211.07171","title":"Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection","created":"2022-11-14","cited_by_count":48,"area":"distill"},{"id":"2211.11646","title":"NeRF-RPN: A general framework for object detection in NeRFs","created":"2022-11-21","cited_by_count":46,"area":null},{"id":"2206.04042","title":"Learning Ego 3D Representation as Ray Tracing","created":"2022-06-08","cited_by_count":43,"area":null},{"id":"2211.08691","title":"Towards Long-Tailed 3D Detection","created":"2022-11-16","cited_by_count":40,"area":null},{"id":"2201.02263","title":"ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks","created":"2022-01-06","cited_by_count":39,"area":null},{"id":"2303.17895","title":"EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection","created":"2023-03-31","cited_by_count":38,"area":null},{"id":"2204.11582","title":"Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection","created":"2022-04-25","cited_by_count":35,"area":null},{"id":"2103.09422","title":"YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection","created":"2021-03-17","cited_by_count":34,"area":null},{"id":"2112.14023","title":"The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection","created":"2021-12-28","cited_by_count":34,"area":null},{"id":"2308.09421","title":"MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection","created":"2023-08-18","cited_by_count":33,"area":null},{"id":"2204.00325","title":"CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection","created":"2022-04-01","cited_by_count":32,"area":null},{"id":"2105.14291","title":"Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview","created":"2021-05-29","cited_by_count":31,"area":null},{"id":"2203.02112","title":"Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving","created":"2022-03-04","cited_by_count":30,"area":null},{"id":"2203.08563","title":"MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection","created":"2022-03-16","cited_by_count":30,"area":null},{"id":"2210.09267","title":"CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection","created":"2022-10-17","cited_by_count":30,"area":null},{"id":"2307.07944","title":"Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling","created":"2023-07-16","cited_by_count":28,"area":null},{"id":"2407.17952","title":"BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation","created":"2024-07-25","cited_by_count":28,"area":null},{"id":"2206.07705","title":"LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection","created":"2022-06-15","cited_by_count":27,"area":null},{"id":"2403.11761","title":"BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation","created":"2024-03-18","cited_by_count":27,"area":null},{"id":"2210.09615","title":"Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection","created":"2022-10-18","cited_by_count":26,"area":null},{"id":"2103.08468","title":"Beyond Image to Depth: Improving Depth Prediction using Echoes","created":"2021-03-15","cited_by_count":24,"area":null},{"id":"2207.04448","title":"Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection","created":"2022-07-10","cited_by_count":23,"area":null},{"id":"2407.07816","title":"A Survey on Deep Stereo Matching in the Twenties","created":"2024-07-10","cited_by_count":23,"area":null},{"id":"2303.13959","title":"Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion","created":"2023-03-24","cited_by_count":22,"area":null},{"id":"2103.14198","title":"Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection","created":"2021-03-26","cited_by_count":21,"area":null},{"id":"2104.08797","title":"MonoGRNet: A General Framework for Monocular 3D Object Detection","created":"2021-04-18","cited_by_count":20,"area":null},{"id":"2210.00411","title":"Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem","created":"2022-10-02","cited_by_count":20,"area":null},{"id":"2303.15334","title":"ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box","created":"2023-03-27","cited_by_count":20,"area":null},{"id":"2101.06594","title":"PLUMENet: Efficient 3D Object Detection from Stereo Images","created":"2021-01-17","cited_by_count":19,"area":null},{"id":"2307.13510","title":"HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View","created":"2023-07-25","cited_by_count":19,"area":null},{"id":"2501.02576","title":"DepthMaster: Taming Diffusion Models for Monocular Depth Estimation","created":"2025-01-05","cited_by_count":19,"area":"diffusion"},{"id":"2301.07870","title":"Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception","created":"2023-01-19","cited_by_count":18,"area":null},{"id":"2303.08686","title":"Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency","created":"2023-03-15","cited_by_count":18,"area":null},{"id":"2303.14548","title":"Viewpoint Equivariance for Multi-View 3D Object Detection","created":"2023-03-25","cited_by_count":18,"area":null},{"id":"2104.05858","title":"Exploring Geometric Consistency for Monocular 3D Object Detection","created":"2021-04-12","cited_by_count":17,"area":null},{"id":"2110.00464","title":"MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation","created":"2021-10-01","cited_by_count":16,"area":null},{"id":"2103.12964","title":"Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation","created":"2021-03-24","cited_by_count":15,"area":null},{"id":"2111.11704","title":"Deep Point Cloud Reconstruction","created":"2021-11-23","cited_by_count":15,"area":null},{"id":"2112.00050","title":"Pattern-Aware Data Augmentation for LiDAR 3D Object Detection","created":"2021-11-30","cited_by_count":15,"area":null},{"id":"2106.14087","title":"Radar Voxel Fusion for 3D Object Detection","created":"2021-06-26","cited_by_count":13,"area":null},{"id":"2109.09628","title":"Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR","created":"2021-09-20","cited_by_count":13,"area":null},{"id":"2112.01914","title":"SGM3D: Stereo Guided Monocular 3D Object Detection","created":"2021-12-03","cited_by_count":13,"area":null},{"id":"2305.17763","title":"NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization","created":"2023-05-28","cited_by_count":13,"area":null},{"id":"2108.09663","title":"SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation","created":"2021-08-22","cited_by_count":12,"area":null},{"id":"2303.03651","title":"F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving","created":"2023-03-07","cited_by_count":12,"area":null},{"id":"2212.05265","title":"Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection","created":"2022-12-10","cited_by_count":11,"area":null},{"id":"2301.09077","title":"Unleash the Potential of Image Branch for Cross-modal 3D Object Detection","created":"2023-01-22","cited_by_count":11,"area":null},{"id":"2303.16628","title":"DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking","created":"2023-03-29","cited_by_count":11,"area":null},{"id":"2310.20293","title":"Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation","created":"2023-10-31","cited_by_count":11,"area":null},{"id":"2403.17387","title":"Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection","created":"2024-03-26","cited_by_count":11,"area":null},{"id":"2102.03602","title":"Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues","created":"2021-02-06","cited_by_count":10,"area":null},{"id":"2103.02396","title":"$S^3$: Learnable Sparse Signal Superdensity for Guided Depth Estimation","created":"2021-03-03","cited_by_count":10,"area":null},{"id":"2103.11071","title":"Stereo CenterNet based 3D Object Detection for Autonomous Driving","created":"2021-03-20","cited_by_count":10,"area":null},{"id":"2105.00268","title":"Lite-FPN for Keypoint-based Monocular 3D Object Detection","created":"2021-05-01","cited_by_count":10,"area":null},{"id":"2204.03039","title":"DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors","created":"2022-04-06","cited_by_count":10,"area":null},{"id":"2209.13507","title":"CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection","created":"2022-09-27","cited_by_count":10,"area":null},{"id":"2303.12017","title":"Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion","created":"2023-03-21","cited_by_count":10,"area":null},{"id":"2402.19144","title":"Weakly Supervised Monocular 3D Detection with a Single-View Image","created":"2024-02-29","cited_by_count":10,"area":null},{"id":"2410.07733","title":"MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction","created":"2024-10-10","cited_by_count":9,"area":null},{"id":"2207.00865","title":"ORA3D: Overlap Region Aware Multi-view 3D Object Detection","created":"2022-07-02","cited_by_count":8,"area":null},{"id":"2502.19630","title":"Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras","created":"2025-02-26","cited_by_count":8,"area":null},{"id":"2503.16709","title":"QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge","created":"2025-03-20","cited_by_count":8,"area":null},{"id":"2111.14055","title":"ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection","created":"2021-11-28","cited_by_count":7,"area":null}],"next_cursor":"100"}