43 citations · 48 across the 12 of their papers we have counts for
15 papers
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…
Recurrent Cross-View Object Geo-Localization
Xiaohan Zhang, Si-Yuan Cao, Xiaokai Bai +7
Cross-view object geo-localization (CVOGL) aims to determine the location of a specific object in high-resolution satellite imagery given a query image with a point prompt. Existin…
RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection
Xiaokai Bai, Chenxu Zhou, Lianqing Zheng +6
4D millimeter-wave radar is a promising sensing modality for autonomous driving, yet effective 3D object detection from 4D radar and monocular images remains challenging. Existing…
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…
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…
I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections
Shuhang Zheng, Yixuan Li, Zhu Yu +8
Place recognition is an important technique for autonomous cars to achieve full autonomy since it can provide an initial guess to online localization algorithms. Although current m…
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images
Lun Luo, Shuhang Zheng, Yixuan Li +4
Place recognition is a key module for long-term SLAM systems. Current LiDAR-based place recognition methods usually use representations of point clouds such as unordered points or…
Iterative Deep Homography Estimation
Si-Yuan Cao, Jianxin Hu, Zehua Sheng +1
We propose Iterative Homography Network, namely IHN, a new deep homography estimation architecture. Different from previous works that achieve iterative refinement by network casca…
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images
Lun Luo, Si-Yuan Cao, Bin Han +2
Recognizing places using Lidar in large-scale environments is challenging due to the sparse nature of point cloud data. In this paper we present BVMatch, a Lidar-based frame-to-fra…