The problem of online structure from motion is also known as simultaneous localisation and mapping. It involves a system that estimates a sensor’s pose and the structure of the environment in real-time. We develop methods for visual odometry, loop closure detection and pose graph optimization.
Online Variational Bayesian Motion Averaging, G. Bourmaud, ECCV (2016)
The Likelihood-Ratio Test and Efficient Robust Estimation, A. Cohen et al., ICCV (2015)
Learn more ►In collaboration with CRL’s Speech Technology Group we produced a complete system for expressive visual text-to-speech. Our system is able to producing expressive verbal and visual output in the form of a 'talking head', given an input text and a set of continuous expression weights.
Photo-Realistic Expressive Text to Talking Head Synthesis, V. Wan et al., Interspeech (2013) / free
Learn more ►Energy-minimization methods are ubiquitous in computer vision and related fields. In our work we design efficient low-level optimization strategies at pixel level, and robust optimization methods for 3D vision problems with high complexity.
Maximum Consensus Parameter Estimation by Reweighted ℓ1 Methods, P. Purkait et al., EMMCVPR (2017)
Generalized Fusion Moves for Continuous Label Optimization, C. Zach, ACCV (2016)
Learn more ►A Differential Volumetric Approach to Multi-View Photometric Stereo
F. Logothetis, R. Mecca, R. Cipolla
ICCV, in print arXiv
Orientation-aware Semantic Segmentation on Icosahedron Spheres
C. Zhang, S. Liwicki, W. Smith, R. Cipolla
ICCV, in print arXiv
Fast-SCNN: Fast Semantic Segmentation Network
R. P. K. Poudel, S. Liwicki, R. Cipolla
BMVC, in print arXiv
Learning Monocular Visual Odometry with Dense 3D Mapping from Dense 3D Flow
C. Zhao, L. Sun, P. Purkait, T. Ducket and R. Stolkin
IROS, October 2018 arXiv
Descending, Lifting or Smoothing: Secrets of Robust Cost Optimization
C. Zach and G. Bourmaud
ECCV, September 2018 / free