Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation

1 code implementation • 15 Jun 2023 • Tianyu Li, Subhankar Roy, Huayi Zhou, Hongtao Lu, Stephane Lathuiliere

To address this, we present CONtrastive FEaTure and pIxel alignment (CONFETI) for bridging the domain gap at both the pixel and feature levels using a unique contrastive formulation.

Contrastive Learning Semantic Segmentation +2

Deformable GANs for Pose-based Human Image Generation

1 code implementation • CVPR 2018 • Aliaksandr Siarohin, Enver Sangineto, Stephane Lathuiliere, Nicu Sebe

Specifically, given an image of a person and a target pose, we synthesize a new image of that person in the novel pose.

Generative Adversarial Network Gesture-to-Gesture Translation +2

Depression Severity Estimation from Multiple Modalities

no code implementations • 10 Nov 2017 • Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury, Arindam Ghosh, Radu-Laurentiu Vieriu, Nicu Sebe, Giuseppe Riccardi

In this AVEC challenge we explore different modalities (speech, language and visual features extracted from face) to design and develop automatic methods for the detection of depression.

Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation

no code implementations • CVPR 2017 • Stephane Lathuiliere, Remi Juge, Pablo Mesejo, Rafael Munoz-Salinas, Radu Horaud

In this particular problem, we show that inverse regression outperforms regression models currently used by state-of-the-art computer vision methods.

Head Pose Estimation regression