1 citations · 1 across the 4 of their papers we have counts for
5 papers
InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras
Erich Liang, Roma Bhattacharjee, Sreemanti Dey +8
Accurately tracking camera intrinsics is crucial for achieving 3D understanding from 2D video. However, most 3D algorithms assume that camera intrinsics stay constant throughout a…
Princeton365: A Diverse Dataset with Accurate Camera Pose
Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain +3
We introduce Princeton365, a large-scale diverse dataset of 365 videos with accurate camera pose. Our dataset bridges the gap between accuracy and data diversity in current SLAM be…
Procedural Generation of Articulated Simulation-Ready Assets
Abhishek Joshi, Beining Han, Jack Nugent +12
We introduce Infinigen-Articulated, a toolkit for generating realistic, procedurally generated articulated assets for robotics simulation. We include procedural generators for 18 c…
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation
Alexander Raistrick, Lingjie Mei, Karhan Kayan +9
We introduce Infinigen Indoors, a Blender-based procedural generator of photorealistic indoor scenes. It builds upon the existing Infinigen system, which focuses on natural scenes,…
OVeNet: Offset Vector Network for Semantic Segmentation
Stamatis Alexandropoulos, Christos Sakaridis, Petros Maragos
Semantic segmentation is a fundamental task in visual scene understanding. We focus on the supervised setting, where ground-truth semantic annotations are available. Based on knowl…