activity
20182023
most citedIdentity-preserving Face Recovery from Stylized Portraits

19 citations · 32 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Few-shot Domain-Adaptive Visually-fused Event Detection from Text

Farhad Moghimifar, Fatemeh Shiri, Van Nguyen +2

Incorporating auxiliary modalities such as images into event detection models has attracted increasing interest over the last few years. The complexity of natural language in descr…

cs.AI20235 cited

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain

Fatemeh Shiri, Teresa Wang, Shirui Pan +5

International maritime crime is becoming increasingly sophisticated, often associated with wider criminal networks. Detecting maritime threats by means of fusing data purely relate…

cs.CV201919 cited

Identity-preserving Face Recovery from Stylized Portraits

Fatemeh Shiri, Xin Yu, Fatih Porikli +2

Given an artistic portrait, recovering the latent photorealistic face that preserves the subject's identity is challenging because the facial details are often distorted or fully l…

cs.CV20198 cited

Recovering Faces from Portraits with Auxiliary Facial Attributes

Fatemeh Shiri, Xin Yu, Fatih Porikli +2

Recovering a photorealistic face from an artistic portrait is a challenging task since crucial facial details are often distorted or completely lost in artistic compositions. To ha…

cs.CV2018

Identity-preserving Face Recovery from Portraits

Fatemeh Shiri, Xin Yu, Fatih Porikli +2

Recovering the latent photorealistic faces from their artistic portraits aids human perception and facial analysis. However, a recovery process that can preserve identity is challe…