277 citations · 771 across the 30 of their papers we have counts for
36 papers
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra, Carlos D. Castillo, Hongcheng Wang +2
In cross-domain retrieval, a model is required to identify images from the same semantic category across two visual domains. For instance, given a sketch of an object, a model need…
Recognizing People by Body Shape Using Deep Networks of Images and Words
Blake A. Myers, Lucas Jaggernauth, Thomas M. Metz +4
Common and important applications of person identification occur at distances and viewpoints in which the face is not visible or is not sufficiently resolved to be useful. We exami…
A Brief Survey on Person Recognition at a Distance
Chrisopher B. Nalty, Neehar Peri, Joshua Gleason +4
Person recognition at a distance entails recognizing the identity of an individual appearing in images or videos collected by long-range imaging systems such as drones or surveilla…
Twin identification over viewpoint change: A deep convolutional neural network surpasses humans
Connor J. Parde, Virginia E. Strehle, Vivekjyoti Banerjee +4
Deep convolutional neural networks (DCNNs) have achieved human-level accuracy in face identification (Phillips et al., 2018), though it is unclear how accurately they discriminate…
The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks
Snipta Mallick, Geraldine Jeckeln, Connor J. Parde +2
Facial morphs created between two identities resemble both of the faces used to create the morph. Consequently, humans and machines are prone to mistake morphs made from two identi…
Where in the World is this Image? Transformer-based Geo-localization in the Wild
Shraman Pramanick, Ewa M. Nowara, Joshua Gleason +2
Predicting the geographic location (geo-localization) from a single ground-level RGB image taken anywhere in the world is a very challenging problem. The challenges include huge di…