58 citations · 124 across the 5 of their papers we have counts for
5 papers
Exposing GAN-synthesized Faces Using Landmark Locations
Xin Yang, Yuezun Li, Honggang Qi +1
Generative adversary networks (GANs) have recently led to highly realistic image synthesis results. In this work, we describe a new method to expose GAN-synthesized images using th…
Object-driven Text-to-Image Synthesis via Adversarial Training
Wenbo Li, Pengchuan Zhang, Lei Zhang +4
In this paper, we propose Object-driven Attentive Generative Adversarial Newtorks (Obj-GANs) that allow object-centered text-to-image synthesis for complex scenes. Following the tw…
De-identification without losing faces
Yuezun Li, Siwei Lyu
Training of deep learning models for computer vision requires large image or video datasets from real world. Often, in collecting such datasets, we need to protect the privacy of t…
Residual Attention based Network for Hand Bone Age Assessment
Eric Wu, Bin Kong, Xin Wang +8
Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the…
Interpretation and Generalization of Score Matching
Siwei Lyu
Score matching is a recently developed parameter learning method that is particularly effective to complicated high dimensional density models with intractable partition functions.…