1.7k citations · 1.8k across the 19 of their papers we have counts for
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DUET4D: Self-Corrective Coupled Guidance for Sparse-View 4D Reconstruction
Beizhen Zhao, Nanjie Yao, Boyi Fu +4
Sparse-view 4D reconstruction is highly under-constrained when only a few cameras are available. Generative priors can recover missing appearances, but video models are computation…
EdgeFM: Efficient Edge Inference for Vision-Language Models
Mengling Deng, Yuanpeng Chen, Sheng Yang +12
Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained by requirements for determin…
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
Qingsong Yan, Qiang Wang, Kaiyong Zhao +4
Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have emerged as powerful tools for 3D reconstruction and SLAM tasks. However, their performance depends heavily on ac…
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion
Qingsong Yan, Qiang Wang, Kaiyong Zhao +4
Due to the rapid development of panorama cameras, the task of estimating panorama depth has attracted significant attention from the computer vision community, especially in applic…
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
Qingsong Yan, Qiang Wang, Kaiyong Zhao +4
Neural Radiance Fields (NeRF) have demonstrated impressive performance in novel view synthesis. However, NeRF and most of its variants still rely on traditional complex pipelines t…
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
Qingsong Yan, Qiang Wang, Kaiyong Zhao +3
Existing learning-based multi-view stereo (MVS) methods rely on the depth range to build the 3D cost volume and may fail when the range is too large or unreliable. To address this…
SphereDepth: Panorama Depth Estimation from Spherical Domain
Qingsong Yan, Qiang Wang, Kaiyong Zhao +3
The panorama image can simultaneously demonstrate complete information of the surrounding environment and has many advantages in virtual tourism, games, robotics, etc. However, the…
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching
Qiang Wang, Shaohuai Shi, Kaiyong Zhao +1
Recent advanced studies have spent considerable human efforts on optimizing network architectures for stereo matching but hardly achieved both high accuracy and fast inference spee…
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
Qiang Wang, Shaohuai Shi, Shizhen Zheng +2
Deep neural networks (DNNs) have achieved great success in the area of computer vision. The disparity estimation problem tends to be addressed by DNNs which achieve much better pre…
FADNet: A Fast and Accurate Network for Disparity Estimation
Qiang Wang, Shaohuai Shi, Shizhen Zheng +2
Deep neural networks (DNNs) have achieved great success in the area of computer vision. The disparity estimation problem tends to be addressed by DNNs which achieve much better pre…
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation
Qiang Wang, Shizhen Zheng, Qingsong Yan +3
Indoor robotics localization, navigation, and interaction heavily rely on scene understanding and reconstruction. Compared to the monocular vision which usually does not explicitly…