Search Results for author: Qingan Yan

Found 11 papers, 2 papers with code

PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields

no code implementations30 Dec 2023 Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Lantao Liu, Yi Xu

Through extensive experiments, we demonstrate the effectiveness of PlanarNeRF in various scenarios and remarkable improvement over existing works.

3D Plane Detection

CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation

no code implementations25 Oct 2022 Zhiqi Zhang, Nitin Bansal, Changjiang Cai, Pan Ji, Qingan Yan, Xiangyu Xu, Yi Xu

To this end, we propose CLIP-FLow, a semi-supervised iterative pseudo-labeling framework to transfer the pretraining knowledge to the target real domain.

Contrastive Learning Optical Flow Estimation +1

RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo

no code implementations CVPR 2023 Changjiang Cai, Pan Ji, Qingan Yan, Yi Xu

At the pixel level, we propose to break the symmetry of the Siamese network (which is typically used in MVS to extract image features) by introducing a transformer block to the reference image (but not to the source images).

Depth Estimation

FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras

no code implementations5 May 2022 Qingan Yan, Pan Ji, Nitin Bansal, Yuxin Ma, Yuan Tian, Yi Xu

In this paper, we deal with the problem of monocular depth estimation for fisheye cameras in a self-supervised manner.

Monocular Depth Estimation

CNN-Augmented Visual-Inertial SLAM with Planar Constraints

no code implementations5 May 2022 Pan Ji, Yuan Tian, Qingan Yan, Yuxin Ma, Yi Xu

The CNN depth effectively bootstraps the back-end optimization of SLAM and meanwhile the CNN uncertainty adaptively weighs the contribution of each feature point to the back-end optimization.

GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping

no code implementations3 May 2022 Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu

We present a robust and accurate depth refinement system, named GeoRefine, for geometrically-consistent dense mapping from monocular sequences.

Optical Flow Estimation

PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

no code implementations CVPR 2022 Jiachen Liu, Pan Ji, Nitin Bansal, Changjiang Cai, Qingan Yan, Xiaolei Huang, Yi Xu

The semantic plane detection branch is based on a single-view plane detection framework but with differences.

3D Reconstruction

Detail Preserved Point Cloud Completion via Separated Feature Aggregation

1 code implementation ECCV 2020 Wenxiao Zhang, Qingan Yan, Chunxia Xiao

In this work, instead of using a global feature to recover the whole complete surface, we explore the functionality of multi-level features and aggregate different features to represent the known part and the missing part separately.

Point Cloud Completion

Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context

1 code implementation CVPR 2017 Qingan Yan, Long Yang, Ling Zhang, Chunxia Xiao

A perennial problem in structure from motion (SfM) is visual ambiguity posed by repetitive structures.

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