8 papers
Learning Optical Flow Field via Neural Ordinary Differential Equation
Leyla Mirvakhabova, Hong Cai, Jisoo Jeong +3
Recent works on optical flow estimation use neural networks to predict the flow field that maps positions of one image to positions of the other. These networks consist of a featur…
Gaussian Splatting is an Effective Data Generator for 3D Object Detection
Farhad G. Zanjani, Davide Abati, Auke Wiggers +4
We investigate data augmentation for 3D object detection in autonomous driving. We utilize recent advancements in 3D reconstruction based on Gaussian Splatting for 3D object placem…
Planar Gaussian Splatting
Farhad G. Zanjani, Hong Cai, Hanno Ackermann +2
This paper presents Planar Gaussian Splatting (PGS), a novel neural rendering approach to learn the 3D geometry and parse the 3D planes of a scene, directly from multiple RGB image…
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
Farhad G. Zanjani, Hong Cai, Yinhao Zhu +2
This paper presents Neural Mesh Fusion (NMF), an efficient approach for joint optimization of polygon mesh from multi-view image observations and unsupervised 3D planar-surface par…
VaLID: Variable-Length Input Diffusion for Novel View Synthesis
Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia +3
Novel View Synthesis (NVS), which tries to produce a realistic image at the target view given source view images and their corresponding poses, is a fundamental problem in 3D Visio…
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels
Ilia Karmanov, Farhad G. Zanjani, Simone Merlin +2
We introduce WiCluster, a new machine learning (ML) approach for passive indoor positioning using radio frequency (RF) channel state information (CSI). WiCluster can predict both a…