Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Peleg, Shmuel"'
In the Clothes-Changing Re-Identification (CC-ReID) problem, given a query sample of a person, the goal is to determine the correct identity based on a labeled gallery in which the person appears in different clothes. Several models tackle this chall
Externí odkaz:
http://arxiv.org/abs/2211.13807
Convolutional neural networks contain strong priors for generating natural looking images [1]. These priors enable image denoising, super resolution, and inpainting in an unsupervised manner. Previous attempts to demonstrate similar ideas in audio, n
Externí odkaz:
http://arxiv.org/abs/2207.10441
Despite much progress in the field of facial expression recognition, little attention has been paid to the recognition of peak emotion. Aviezer et al. [1] showed that humans have trouble discerning between positive and negative peak emotions. In this
Externí odkaz:
http://arxiv.org/abs/2205.09791
Autor:
Michelson, Tzvi, Peleg, Shmuel
What makes a talk successful? Is it the content or the presentation? We try to estimate the contribution of the speaker's oratory skills to the talk's success, while ignoring the content of the talk. By oratory skills we refer to facial expressions,
Externí odkaz:
http://arxiv.org/abs/2110.01367
Membership inference attacks (MIA) try to detect if data samples were used to train a neural network model, e.g. to detect copyright abuses. We show that models with higher dimensional input and output are more vulnerable to MIA, and address in more
Externí odkaz:
http://arxiv.org/abs/2102.07762
As neural networks revolutionize many applications, significant privacy conflicts between model users and providers emerge. The cryptography community developed a variety of techniques for secure computation to address such privacy issues. As generic
Externí odkaz:
http://arxiv.org/abs/1911.12322
Many speech segments in movies are re-recorded in a studio during postproduction, to compensate for poor sound quality as recorded on location. Manual alignment of the newly-recorded speech with the original lip movements is a tedious task. We presen
Externí odkaz:
http://arxiv.org/abs/1808.06250
When video is shot in noisy environment, the voice of a speaker seen in the video can be enhanced using the visible mouth movements, reducing background noise. While most existing methods use audio-only inputs, improved performance is obtained with o
Externí odkaz:
http://arxiv.org/abs/1711.08789
Isolating the voice of a specific person while filtering out other voices or background noises is challenging when video is shot in noisy environments. We propose audio-visual methods to isolate the voice of a single speaker and eliminate unrelated s
Externí odkaz:
http://arxiv.org/abs/1708.06767
Speechreading is the task of inferring phonetic information from visually observed articulatory facial movements, and is a notoriously difficult task for humans to perform. In this paper we present an end-to-end model based on a convolutional neural
Externí odkaz:
http://arxiv.org/abs/1708.01204