N. V. K. Medathati

发表

What can we expect from a V 1-MT feedforward architecture for optical flow estimation ?

Manuela Chessa, Fabio Solari, Pierre Kornprobst, 2017 .

Adaptive Motion Pooling and Diffusion for Optical Flow Computation

Manuela Chessa, Fabio Solari, Pierre Kornprobst, 2015, ICIAP Workshops.

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

Pierre Kornprobst, Heiko Neumann, Guillaume S. Masson, 2016, Comput. Vis. Image Underst..

Towards synergistic models of motion information processing in biological and artificial vision. (Vers des modèles synergiques de l'estimation du mouvement en vision biologique et artificielle)

Naga Venkata Kartheek Medathati, N. V. K. Medathati, 2016 .

Bio-Inspired Computer Vision: Setting the Basis for a New Departure

Pierre Kornprobst, Heiko Neumann, N. V. Kartheek Medathati, 2015 .

What can we expect from a V1-MT feedforward architecture for optical flow estimation?

Manuela Chessa, Fabio Solari, Pierre Kornprobst, 2015, Signal Process. Image Commun..

Recurrent network dynamics reconciles visual motion segmentation and integration

Pierre Kornprobst, Guillaume S. Masson, N. V. Kartheek Medathati, 2017, Scientific Reports.

Towards inferring cognitive state changes from pupil size variations in real world conditions

Ruta Desai, James M. Hillis, James Hillis, 2020, ETRA.

Local descriptor based on texture of projections

Jayanthi Sivaswamy, N. V. Kartheek Medathati, J. Sivaswamy, 2010, ICVGIP '10.

Robust matching of multi-modal retinal images using radon transform based local descriptor

Jayanthi Sivaswamy, Yogesh Babu Bathina, N. V. Kartheek Medathati, 2010, IHI.