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20222025
most citedOverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition

227 citations · 263 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024★ 3 cited

PRISM: PRogressive dependency maxImization for Scale-invariant image Matching

Xudong Cai, Yongcai Wang, Lun Luo +5

Image matching aims at identifying corresponding points between a pair of images. Currently, detector-free methods have shown impressive performance in challenging scenarios, thank…

cs.CV2024

ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition

Weidong Xie, Lun Luo, Nanfei Ye +7

Place recognition is an important task for robots and autonomous cars to localize themselves and close loops in pre-built maps. While single-modal sensor-based methods have shown s…

cs.CV2024

Distilling Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection

Haowen Zheng, Dong Cao, Jintao Xu +4

Striking a balance between precision and efficiency presents a prominent challenge in the bird's-eye-view (BEV) 3D object detection. Although previous camera-based BEV methods achi…

cs.CV2023★ 1 cited

Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

Junyi Ma, Xieyuanli Chen, Jiawei Huang +6

Understanding how the surrounding environment changes is crucial for performing downstream tasks safely and reliably in autonomous driving applications. Recent occupancy estimation…

cs.CV2022★ 10 cited

SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

Hao Dong, Weihao Gu, Xianjing Zhang +5

High-definition (HD) semantic map generation of the environment is an essential component of autonomous driving. Existing methods have achieved good performance in this task by fus…

cs.CV2022★ 2 cited

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Jiadai Sun, Yuchao Dai, Xianjing Zhang +4

Accurate moving object segmentation is an essential task for autonomous driving. It can provide effective information for many downstream tasks, such as collision avoidance, path p…