36 citations · 88 across the 18 of their papers we have counts for
8 papers · 1 filter
UFM: A Simple Path towards Unified Dense Correspondence with Flow
Yuchen Zhang, Nikhil Keetha, Chenwei Lyu +9
Dense image correspondence is central to many applications, such as visual odometry, 3D reconstruction, object association, and re-identification. Historically, dense correspondenc…
FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments
Devansh Dhrafani, Yifei Liu, Andrew Jong +6
Robust depth perception in visually-degraded environments is crucial for autonomous aerial systems. Thermal imaging cameras, which capture infrared radiation, are robust to visual…
Geometry-Informed Distance Candidate Selection for Adaptive Lightweight Omnidirectional Stereo Vision with Fisheye Images
Conner Pulling, Je Hon Tan, Yaoyu Hu +1
Multi-view stereo omnidirectional distance estimation usually needs to build a cost volume with many hypothetical distance candidates. The cost volume building process is often com…
VoxDet: Voxel Learning for Novel Instance Detection
Bowen Li, Jiashun Wang, Yaoyu Hu +2
Detecting unseen instances based on multi-view templates is a challenging problem due to its open-world nature. Traditional methodologies, which primarily rely on 2D representation…
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
Bardienus P Duisterhof, Yaoyu Hu, Si Heng Teng +2
Wide-angle cameras are uniquely positioned for mobile robots, by virtue of the rich information they provide in a small, light, and cost-effective form factor. An accurate calibrat…
ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images
Yaoyu Hu, Wenshan Wang, Huai Yu +2
Stereo reconstruction models trained on small images do not generalize well to high-resolution data. Training a model on high-resolution image size faces difficulties of data avail…
TartanVO: A Generalizable Learning-based VO
Wenshan Wang, Yaoyu Hu, Sebastian Scherer
We present the first learning-based visual odometry (VO) model, which generalizes to multiple datasets and real-world scenarios and outperforms geometry-based methods in challengin…
Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction
Yaoyu Hu, Weikun Zhen, Sebastian Scherer
This work presents dense stereo reconstruction using high-resolution images for infrastructure inspections. The state-of-the-art stereo reconstruction methods, both learning and no…