11 citations · 22 across the 18 of their papers we have counts for
20 papers
MIVIFI: Bridging Perspective and Fisheye Domains for Training Multi-View Fisheye Image Generation Models
Matthias Neuwirth-Trapp, Begüm Altunbas, Jiayi Wang +4
Achieving 360° coverage is critical for the visual perception systems of autonomous vehicles. Fisheye cameras offer a cost-effective solution by enabling full surround coverage wit…
OV3D-Bench: A Diagnostic Benchmark for Open-Vocabulary Monocular 3D Detection
Mariia Gladkova, Neehar Peri, Ishan Khatri +2
Open-vocabulary monocular 3D detectors report strong in-domain performance, but each evaluates under a different protocol, several rely on per-image category oracles unavailable at…
ArtiBench and ArtiBrain: Benchmarking Generalizable Vision-Language Articulated Object Manipulation
Yuhan Wu, Tiantian Wei, Shuo Wang +4
Interactive articulated manipulation requires long-horizon, multi-step interactions with appliances while maintaining physical consistency. Existing vision-language and diffusion-b…
Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language
Yan Xia, Letian Shi, Yilin Di +2
We tackle the problem of localizing 3D point cloud submaps using complex and diverse natural language descriptions, and present Text2Loc++, a novel neural network designed for effe…
True Multimodal In-Context Learning Needs Attention to the Visual Context
Shuo Chen, Jianzhe Liu, Zhen Han +5
Multimodal Large Language Models (MLLMs), built on powerful language backbones, have enabled Multimodal In-Context Learning (MICL)-adapting to new tasks from a few multimodal demon…
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
Yuan Luo, Rudolf Hoffmann, Yan Xia +4
Semantic 3D city models are worldwide easy-accessible, providing accurate, object-oriented, and semantic-rich 3D priors. To date, their potential to mitigate the noise impact on ra…
OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion
Shuhao Kang, Martin Y. Liao, Yan Xia +3
LiDAR place recognition is a critical capability for autonomous navigation and cross-modal localization in large-scale outdoor environments. Existing approaches predominantly depen…
SparseAlign: A Fully Sparse Framework for Cooperative Object Detection
Yunshuang Yuan, Yan Xia, Daniel Cremers +1
Cooperative perception can increase the view field and decrease the occlusion of an ego vehicle, hence improving the perception performance and safety of autonomous driving. Despit…
FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models
Thomas Froech, Olaf Wysocki, Yan Xia +4
High-detail semantic 3D building models are frequently utilized in robotics, geoinformatics, and computer vision. One key aspect of creating such models is employing 2D conflict ma…
ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting
Abhishek Saroha, Florian Hofherr, Mariia Gladkova +3
Stylizing a dynamic scene based on an exemplar image is critical for various real-world applications, including gaming, filmmaking, and augmented and virtual reality. However, achi…
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…