activity
20182022
most citedSemantic and structural image segmentation for prosthetic vision

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2022

Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition

Melani Sanchez-Garcia, Tushar Chauhan, Benoit R. Cottereau +1

Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contras…

cs.CV2022★ 2 cited

Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition

Melani Sanchez-Garcia, Tushar Chauhan, Benoit R. Cottereau +1

Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contras…

cs.CV2022★ 1 cited

Assessing visual acuity in visual prostheses through a virtual-reality system

Melani Sanchez-Garcia, Roberto Morollon-Ruiz, Ruben Martinez-Cantin +2

Current visual implants still provide very low resolution and limited field of view, thus limiting visual acuity in implanted patients. Developments of new strategies of artificial…

cs.CV2021★ 1 cited

Augmented reality navigation system for visual prosthesis

Melani Sanchez-Garcia, Alejandro Perez-Yus, Ruben Martinez-Cantin +1

The visual functions of visual prostheses such as field of view, resolution and dynamic range, seriously restrict the person's ability to navigate in unknown environments. Implante…

cs.CV2018★ 3 cited

Semantic and structural image segmentation for prosthetic vision

Melani Sanchez-Garcia, Ruben Martinez-Cantin, Jose J. Guerrero

Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limit…