Search Results for author: Ali Pourramezan Fard

Found 5 papers, 5 papers with code

ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment

1 code implementation29 Mar 2022 Ali Pourramezan Fard, Mohammad H. Mahoor

Heatmap-based Regression (HBR) and Coordinate-based Regression (CBR) are among the two mainly used methods for face alignment.

Face Alignment Facial Landmark Detection +1

Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild

1 code implementation IEEE Access 2022 Ali Pourramezan Fard, Mohammad H. Mahoor

In addition, the Mean Discriminator component leads the network to make the mean embedded feature vectors of different classes to be less similar to each other. We use Xception network as the backbone of our model, and contrary to previous work, we propose an embedding feature space that contains k feature vectors.

Facial Expression Recognition Metric Learning

XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks

1 code implementation21 Nov 2021 Jian Sun, Ali Pourramezan Fard, Mohammad H. Mahoor

To address the computational burdens of the Dynamic Routing mechanism, this paper proposes new Fully Connected (FC) layers by xnorizing the linear projector outside or inside the Dynamic Routing within the CapsFC layer.

Ranked #12 on Image Classification on MNIST (Accuracy metric)

Binarization Image Classification

ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

1 code implementation27 Feb 2021 Ali Pourramezan Fard, Hojjat Abdollahi, Mohammad Mahoor

We compare the performance of our proposed model called ASMNet with MobileNetV2 (which is about 2 times bigger than ASMNet) in both the face alignment and pose estimation tasks.

Face Alignment Head Pose Estimation +1

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