ANGHELONE , David

Cross-spectral face recognition (CFR) refers to recognizing individuals using face images stemming from different spectral bands, such as infrared vs. visible. While CFR is inherently more challenging than classical face recognition due to significant variation in facial appearance caused by the modality gap, it is useful in many scenarios...

Fig. 1. Qualitative results of HiFaceGAN, SRGAN, Pix2Pix, AxialGAN and the proposed ANYRES on the ARL-VTF dataset. We decrease resolution in each row (re-scaled to 128×128). While previous methods are impaired to super resolve facial images for a given resolution by using one specific network for each resolution, our proposed ANYRES achieves a...

Thermal to visible face image translation aims at synthesizing high-fidelity visible face images from thermal counterparts, placing emphasis on preserving the identity of the faces. While remarkable progress has been achieved related to the quality of synthetic images, as well as related to associated face matching accuracy, interpreting the...

One of the main challenges in performing thermalto-visible face image translation is preserving the identity across different spectral bands. Existing work does not effectively disentangle the identity from other confounding factors. In this paper, we propose a Latent-Guided Generative Adversarial Network (LG-GAN) to explicitly decompose an...

Automated thermal-to-visible face recognition has received increased attention due to benefits related to lowlight applications. Towards improvement of related matching accuracy, we hereby present TFLD, a detector of face and landmarks operating in the thermal spectrum. Our proposed TFLD is based on the architecture of YOLOv5, integrating...

Video generation greatly benefits from integrating facial expressions, as they are highly pertinent in social interaction and hence increase realism in generated talking head videos. Motivated by this, we propose a method for editing emotions in head reenactment videos that is streamlined to modify the latent space of a pre-trained neural head...