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23 papers · 1 filter
Improving Generative Adversarial Network Generalization for Facial Expression Synthesis
Arbish Akram, Nazar Khan, Arif Mahmood
Facial expression synthesis aims to generate realistic facial expressions while preserving identity. Existing conditional generative adversarial networks (GANs) achieve excellent i…
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
Javed Iqbal, Hamza Rawal, Rehan Hafiz +2
This paper proposes a novel pixel-level distribution regularization scheme (DRSL) for self-supervised domain adaptation of semantic segmentation. In a typical setting, the classifi…
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach
M. Fasi ur Rehman, Izza Ali, Waqas Sultani +1
One billion people worldwide are estimated to be living in slums, and documenting and analyzing these regions is a challenging task. As compared to regular slums; the small, scatte…
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
Javed Iqbal, Rehan Hafiz, Mohsen Ali
This paper presents FogAdapt, a novel approach for domain adaptation of semantic segmentation for dense foggy scenes. Although significant research has been directed to reduce the…
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz +1
We study adapting trained object detectors to unseen domains manifesting significant variations of object appearance, viewpoints and backgrounds. Most current methods align domains…
Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling
Nadeem Yousaf, Sarfaraz Hussein, Waqas Sultani
Body-Mass-Index (BMI) conveys important information about one's life such as health and socio-economic conditions. Large-scale automatic estimation of BMIs can help predict several…