I need a good representation for this. I have an idea for something for PCmasterrace, and i think you will all enjoy it. However the face used for consoles needs to be widely recognizable by ALL conso...
Deeply learned representations are the state-of-the-art descriptors for face recognition methods. These representations encode latent features that are difficult to explain, compromising the confidence and interpretability of their predictions. Most...
We have witnessed rapid advances in both face presentation attack models and presentation attack detection (PAD) in recent years. Compared to widely studied 2D face presentation attacks (e.g. printed photos and video replays), 3D face presentation at...
The following is the transcript of the interview with Sen. Tom Cotton, Republican of Arkansas, that aired on "Face the Nation with Margaret Brennan" on March 1, 2026.
The following is the transcript of the interview with Sen. Chris Murphy, Democrat of Connecticut, that aired on "Face the Nation with Margaret Brennan" on March 1, 2026.
The following is the transcript of the interview with Sen. Ted Cruz, Republican of Texas, that aired on "Face the Nation with Margaret Brennan" on March 1, 2026.
The following is the transcript of the interview with Rep. Mike Turner, Republican of Ohio, that aired on "Face the Nation with Margaret Brennan" on March 1, 2026.
On this "Face the Nation with Margaret Brennan" broadcast, Sens. Tom Cotton and Chris Murphy join Margaret Brennan.
Commercial application of facial recognition demands robustness to a variety of challenges such as illumination, occlusion, spoofing, disguise, etc. Disguised face recognition is one of the emerging issues for access control systems, such as security...
Face-off is an interesting case of style transfer where the facial expressions and attributes of one person could be fully transformed to another face. We are interested in the unsupervised training process which only requires two sequences of unalig...
Recently, video conferencing apps have become functional by accomplishing such computer vision-based features as real-time background removal and face beautification. Limited variability in existing portrait segmentation and face parsing datasets, in...
Face clustering is a useful tool for applications like automatic face annotation and retrieval. The main challenge is that it is difficult to cluster images from the same identity with different face poses, occlusions, and image quality. Traditional...
Face recognition systems are widely deployed for biometric authentication. Despite this, it is well-known that, without any safeguards, face recognition systems are highly vulnerable to presentation attacks. In response to this security issue, severa...
3D-aware face generators are typically trained on 2D real-life face image datasets that primarily consist of near-frontal face data, and as such, they are unable to construct one-quarter headshot 3D portraits with complete head, neck, and shoulder ge...
In this paper, we propose a novel framework to translate a portrait photo-face into an anime appearance. Our aim is to synthesize anime-faces which are style-consistent with a given reference anime-face. However, unlike typical translation tasks, suc...
For a given identity in a face dataset, there are certain iconic images which are more representative of the subject than others. In this paper, we explore the problem of computing the iconicity of a face. The premise of the proposed approach is as f...
Community Discussion, powered by Hugging Face <3
Hugging Face CEO Clément Delangue discusses the importance of open science and open-source AI.
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All speculative at this point, but does the guy with shades look the same? Possible prosthetics/mask, but looks similar to me.... ??? Seems so cosplay that it could go undetected as a real threat. Cha...