11 citations · 22 across the 18 of their papers we have counts for
10 papers · 1 filter
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
Olaf Wysocki, Yue Tan, Thomas Froech +5
Facade semantic segmentation is a long-standing challenge in photogrammetry and computer vision. Although the last decades have witnessed the influx of facade segmentation methods,…
UniLoc: Towards Universal Place Recognition Using Any Single Modality
Yan Xia, Zhendong Li, Yun-Jin Li +4
To date, most place recognition methods focus on single-modality retrieval. While they perform well in specific environments, cross-modal methods offer greater flexibility by allow…
TRASE: Tracking-free 4D Segmentation and Editing
Yun-Jin Li, Mariia Gladkova, Yan Xia +1
Understanding dynamic 3D scenes is crucial for extended reality (XR) and autonomous driving. Incorporating semantic information into 3D reconstruction enables holistic scene repres…
Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments
Lei Cheng, Junpeng Hu, Haodong Yan +5
Photometric bundle adjustment (PBA) is widely used in estimating the camera pose and 3D geometry by assuming a Lambertian world. However, the assumption of photometric consistency…
LiFCal: Online Light Field Camera Calibration via Bundle Adjustment
Aymeric Fleith, Doaa Ahmed, Daniel Cremers +1
We propose LiFCal, a novel geometric online calibration pipeline for MLA-based light field cameras. LiFCal accurately determines model parameters from a moving camera sequence with…
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes
Mihir Mahajan, Florian Hofherr, Daniel Cremers
Parametric feature grid encodings have gained significant attention as an encoding approach for neural fields since they allow for much smaller MLPs, which significantly decreases…
TARGO: Benchmarking Target-driven Object Grasping under Occlusions
Yan Xia, Ran Ding, Ziyuan Qin +5
Recent advances in predicting 6D grasp poses from a single depth image have led to promising performance in robotic grasping. However, previous grasping models face challenges in c…
VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
Yun-Jin Li, Mariia Gladkova, Yan Xia +2
Cross-modal place recognition methods are flexible GPS-alternatives under varying environment conditions and sensor setups. However, this task is non-trivial since extracting consi…
Gaussian Splatting in Style
Abhishek Saroha, Mariia Gladkova, Cecilia Curreli +3
3D scene stylization extends the work of neural style transfer to 3D. A vital challenge in this problem is to maintain the uniformity of the stylized appearance across multiple vie…
Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning
Mohamed Elrefaie, Steffen Hüttig, Mariia Gladkova +3
We introduce Recurrent All-Pairs Field Transforms for Stereoscopic Particle Image Velocimetry (RAFT-StereoPIV). Our approach leverages deep optical flow learning to analyze time-re…