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20222026
most citedCity3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

134 citations · 135 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

OCA: ODE-Driven Cross-Attention for Image-to-Point-Cloud Registration

Pei An, Jiaqi Yang, Yulong Wang +2

Cross-attention is a crucial component in learning-based image-to-point-cloud (I2P) registration. Although existing cross-attention mechanisms have achieved promising progress, att…

cs.CV2026

Ex-Sim(3)-Reg: 2D-3D Correspondence Pruning via Extended Sim(3) Registration

Pei An, Muyao Peng, Junfeng Ding +2

Learning-based image-to-point-cloud (I2P) registration has garnered increasing attention in recent years. Nevertheless, existing methods still struggle with severe outliers under c…

cs.CV2026

RVLoss: Runoff Vote Loss for Self-Supervised LiDAR Scene Flow Estimation

Shiming Wang, Liangliang Nan, Julian Kooij +2

LiDAR scene flow estimates point-wise motion between two consecutive scans, referred to as the source and target. Leading self-supervised methods typically minimize the Chamfer los…

cs.CV2026

Efficient RWKV-based Representation Learning for 3D Point Clouds

Yun Liu, Xuefeng Yan, Liangliang Nan +5

The recent receptance weighted key value (RWKV) model combines RNN-style recurrence, offering a linear-complexity alternative to Transformers' quadratic self-attention for modeling…

cs.CV2026

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings

Xueyang Kang, Zijian Yu, Kourosh Khoshelham +1

Interactive segmentation allows efficient label generation by leveraging user-provided clicks to progressively refine predictions, which is critical when fully supervised labels ar…