most citedCorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

95 citations · 99 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 2 cited

GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation

Siyu Ren, Junhui Hou, Xiaodong Chen +2

We present a learning-based method, namely GeoUDF,to tackle the long-standing and challenging problem of reconstructing a discrete surface from a sparse point cloud.To be specific,…

cs.CV2022

MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition

Xiaodong Chen, Wu Liu, Xinchen Liu +3

Recognizing human actions from point cloud videos has attracted tremendous attention from both academia and industry due to its wide applications like automatic driving, robotics,…

cs.CV2022★ 95 cited

CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

Siyu Ren, Yiming Zeng, Junhui Hou +1

Motivated by the intuition that the critical step of localizing a 2D image in the corresponding 3D point cloud is establishing 2D-3D correspondence between them, we propose the fir…

cs.CV2022

Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework

Xiaodong Chen, Xinchen Liu, Wu Liu +4

Action recognition from videos, i.e., classifying a video into one of the pre-defined action types, has been a popular topic in the communities of artificial intelligence, multimed…

cs.CV2021★ 2 cited

A Baseline Framework for Part-level Action Parsing and Action Recognition

Xiaodong Chen, Xinchen Liu, Kun Liu +2

This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021. Our entry is mainly based on YOLOF fo…

cs.CV2021

Explainable Person Re-Identification with Attribute-guided Metric Distillation

Xiaodong Chen, Xinchen Liu, Wu Liu +3

Despite the great progress of person re-identification (ReID) with the adoption of Convolutional Neural Networks, current ReID models are opaque and only outputs a scalar distance…