Skip to content
View TataMoktari's full-sized avatar
💭
I may be slow to respond.
💭
I may be slow to respond.
  • ORISE Fellow, FDA
  • Silver Spring, Maryland
Block or Report

Block or report TataMoktari

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories

  1. Pose-Attention-Guided-Profile-to-Frontal-Face-Recognition Pose-Attention-Guided-Profile-to-Frontal-Face-Recognition Public

    Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).

    Python 4 1

  2. tatamoktari.github.io tatamoktari.github.io Public

    Brief Bio about me

    HTML

  3. Face-Recognition-at-Extreme-Pitch-and-Yaw-View-Angles Face-Recognition-at-Extreme-Pitch-and-Yaw-View-Angles Public

    Implemented pose aware face recognition network to Improve the performance of face recognition task for the faces at extreme joint pitch and yaw view angles.

    Python 1

  4. Face-Frontal-GAN Face-Frontal-GAN Public

    Implement a Generative Adversarial Network which is able to frontalize faces from the pose invariant features learned in our proposed pose attention guided profile to frontal network for extreme pr…

    Python

  5. Joint-Super-Resolution-and-Vehicle-Detection-Network Joint-Super-Resolution-and-Vehicle-Detection-Network Public

    Implemented a novel deep joint network to perform both super-resolution and detection simultaneously using multi-scale GAN framework which attains superior results against the state-of-the-art meth…

    Python

  6. CrossModal_GAN CrossModal_GAN Public

    We design a cross-modal GAN which learns image-to-image modality transformation across cross-domain. This network is able to synthesize Infrared images from VISIBLE images for VEDAI dataset

    Python