43 citations · 47 across the 12 of their papers we have counts for
14 papers · 1 filter
Large Depth Completion Model from Sparse Observations
Zhu Yu, Zhengyi Zhao, Runmin Zhang +7
This work presents the Large Depth Completion Model (LDCM), a simple, effective, and robust framework for single-view metric depth estimation with sparse observations. Without rely…
Towards Consistent Video Geometry Estimation
Zhu Yu, Jingnan Gao, Runmin Zhang +9
This work presents ViGeo, a feed-forward foundation model for recovering spatially dense and temporally consistent geometry from video sequences. Built upon a plain transformer arc…
Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint
Runmin Zhang, Jialiang Wang, Si-Yuan Cao +4
This work presents DCFlow, a novel unsupervised cross-modal flow estimation framework that integrates a decoupled optimization strategy and a cross-modal consistency constraint. Un…
EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration
Haokai Zhu, Bo Qu, Si-Yuan Cao +4
Previous deep image registration methods that employ single homography, multi-grid homography, or thin-plate spline often struggle with real scenes containing depth disparities due…
Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction
Runmin Zhang, Zhu Yu, Si-Yuan Cao +4
This work presents SGCDet, a novel multi-view indoor 3D object detection framework based on adaptive 3D volume construction. Unlike previous approaches that restrict the receptive…
Structure-Aware Radar-Camera Depth Estimation
Fuyi Zhang, Zhu Yu, Chunhao Li +6
Radar has gained much attention in autonomous driving due to its accessibility and robustness. However, its standalone application for depth perception is constrained by issues of…
RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
Jiacheng Ying, Mushui Liu, Zhe Wu +7
Blind face restoration has made great progress in producing high-quality and lifelike images. Yet it remains challenging to preserve the ID information especially when the degradat…
Language Driven Occupancy Prediction
Zhu Yu, Bowen Pang, Lizhe Liu +7
We introduce LOcc, an effective and generalizable framework for open-vocabulary occupancy (OVO) prediction. Previous approaches typically supervise the networks through coarse voxe…
SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
Junchen Yu, Si-Yuan Cao, Runmin Zhang +5
We propose a novel unsupervised cross-modal homography estimation learning framework, named Split Supervised Homography estimation Network (SSHNet). SSHNet reformulates the unsuper…
SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning
Runmin Zhang, Jun Ma, Si-Yuan Cao +5
We propose a novel unsupervised cross-modal homography estimation framework based on intra-modal Self-supervised learning, Correlation, and consistent feature map Projection, namel…
Rethinking Early-Fusion Strategies for Improved Multispectral Object Detection
Xue Zhang, Si-Yuan Cao, Fang Wang +5
Most recent multispectral object detectors employ a two-branch structure to extract features from RGB and thermal images. While the two-branch structure achieves better performance…
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
Zhu Yu, Runmin Zhang, Jiacheng Ying +5
Vision-based Semantic Scene Completion (SSC) has gained much attention due to its widespread applications in various 3D perception tasks. Existing sparse-to-dense approaches typica…
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising
Runmin Zhang, Zhu Yu, Zehua Sheng +6
Cross-spectral image guided denoising has shown its great potential in recovering clean images with rich details, such as using the near-infrared image to guide the denoising proce…
PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
Si-Yuan Cao, Beinan Yu, Lun Luo +3
Multispectral and multimodal images are of important usage in the field of multi-source visual information fusion. Due to the alternation or movement of image devices, the acquired…