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20212025
most citedSTCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

5 citations · 10 across the 6 of their papers we have counts for

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cs.CV2025

UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis

Zemin Yang, Yujing Sun, Xidong Peng +2

Image demoiréing poses one of the most formidable challenges in image restoration, primarily due to the unpredictable and anisotropic nature of moiré patterns. Limited by the quant…

cs.CV2023★ 2 cited

Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Xidong Peng, Runnan Chen, Feng Qiao +6

Unsupervised domain adaptation (UDA) in 3D segmentation tasks presents a formidable challenge, primarily stemming from the sparse and unordered nature of point cloud data. Especial…

cs.CV2023★ 2 cited

WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language

Zhenxiang Lin, Xidong Peng, Peishan Cong +6

We introduce the task of 3D visual grounding in large-scale dynamic scenes based on natural linguistic descriptions and online captured multi-modal visual data, including 2D images…

cs.CV2022

CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection

Xidong Peng, Xinge Zhu, Yuexin Ma

Domain adaptation for Cross-LiDAR 3D detection is challenging due to the large gap on the raw data representation with disparate point densities and point arrangements. By explorin…

cs.CV2022★ 5 cited

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Peishan Cong, Xinge Zhu, Feng Qiao +7

Accurately detecting and tracking pedestrians in 3D space is challenging due to large variations in rotations, poses and scales. The situation becomes even worse for dense crowds w…

cs.CV2021★ 1 cited

SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation

Xidong Peng, Xinge Zhu, Tai Wang +1

3D detection plays an indispensable role in environment perception. Due to the high cost of commonly used LiDAR sensor, stereo vision based 3D detection, as an economical yet effec…