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Recent Papers on arXiv

CVPR 2022

  • Point2Seq: Detecting 3D Objects as Sequences (CVPR 22)

  • HyperDet3D: Learning a Scene-Conditioned 3D Object Detector (CVPR 22)

  • Exploring Geometry Consistency for monocular 3D object detection (CVPR 22)

  • MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection (CVPR 22)

  • LiDAR Snowfall Simulation for Robust 3D Object Detection (CVPR 22)

  • Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection (CVPR 22)

  • Leveraging Object-Level Rotation Equivariance for 3D Object Detection (CVPR 22)

  • Rope3D: Take A New Look from the 3D Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task (CVPR 22)

  • Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection (CVPR 22)

  • OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data (CVPR 22)

  • RBGNet: Ray-based Grouping for 3D Object Detection (CVPR 22)

  • MonoGround: Detecting Monocular 3D Objects from the Ground (CVPR 22)

  • Voxel Field Fusion for 3D Object Detection (CVPR 22)

  • Dimension Embeddings for Monocular 3D Object Detection (CVPR 22)

  • Embracing Single Stride 3D Object Detector with Sparse Transformer (CVPR 22)

  • Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 22)

  • TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers (CVPR 22)

  • VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention (CVPR 22)

  • MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer (CVPR 22)

  • Homography Loss for Monocular 3D Object Detection (CVPR 22)

  • Point2Cyl: Reverse Engineering 3D Objects -- from Point Clouds to Extrusion Cylinders (CVPR 22)

  • SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud (CVPR 22)

  • LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection (CVPR 22)

  • Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving (CVPR 22)

  • Bridged Transformer for Vision and Point Cloud 3D Object Detection (CVPR 22)

  • Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 22)

  • Boosting 3D Object Detection by Simulating Multimodality on Point Clouds (CVPR 22)

  • Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving (CVPR 22)

  • A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation (CVPR 22)

  • 3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection (CVPR 22)

  • Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 22)

  • D*-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection (CVPR 22)

  • CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection (CVPR 22)

2021

  • WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection (ICLR 22)

  • Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception (ICLR 22)

  • MonoDistill: Learning Spatial Features for Monocular 3D Object Detection (ICLR 22)

  • Behind the Curtain: Learning Occluded Shapes for 3D Object Detection (AAAI 22)

  • SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection (AAAI 22)

  • Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds (AAAI 22)

  • SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations (AAAI 22)

  • Embracing Single Stride 3D Object Detector with Sparse Transformer (arXiv 21)

  • AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds (arXiv 21)

  • AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection (arXiv 22)

  • Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI 22)