no code implementations • 22 Feb 2024 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
One of the prominent challenges in CSLR pertains to accurately detecting the boundaries of isolated signs within a continuous video stream.
no code implementations • 3 Jun 2023 • Nura Esfandiari, Kourosh Kiani, Razieh Rastgoo
While the generator of the proposed model consists of a full transformer model to generate an answer, the discriminator includes only the encoder part of a transformer model followed by a classifier.
no code implementations • 15 Jul 2022 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
Recently, one model has been presented to deal with the challenge of the boundary detection of isolated gestures in a continuous gesture video [17].
1 code implementation • 14 Jun 2022 • Mohammad Rezaei, Razieh Rastgoo, Vassilis Athitsos
The second innovation is PixDropout, which is, to the best of our knowledge, the first appearance-based data augmentation method for hand depth images.
Ranked #1 on Hand Pose Estimation on MSRA Hands
no code implementations • 2 Apr 2022 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
Results of the continuous sign videos confirm the efficiency of the proposed model to deal with isolated sign boundaries detection.
1 code implementation • 31 Jan 2022 • Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou
In this paper, inspired by the success of Knowledge Distillation (KD) methods, we propose an unsupervised deep neural network to detect and localize damages in social media images.
no code implementations • 5 Jan 2022 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou
To make an easy and mutual communication between the hearing-impaired and the hearing communities, building a robust system capable of translating the spoken language into sign language and vice versa is fundamental.
Cultural Vocal Bursts Intensity Prediction Sign Language Production +2
no code implementations • 2 Sep 2021 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Zero-Shot Learning (ZSL) has rapidly advanced in recent years.
no code implementations • 23 Aug 2021 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
To benefit from the vision Transformer capabilities, we use two vision Transformer models, for human detection and visual features representation.
1 code implementation • 29 Mar 2021 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community.