Search Results for author:
Found 8 papers, 0 papers with code
RaScaNet: Learning Tiny Models by Raster-Scanning Images
RaScaNet reads only a few rows of pixels at a time using a convolutional neural network and then sequentially learns the representation of the whole image using a recurrent neural network.
Data-free mixed-precision quantization using novel sensitivity metric
Post-training quantization is a representative technique for compressing neural networks, making them smaller and more efficient for deployment on edge devices.
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition
Softmax-based learning methods have shown state-of-the-art performances on large-scale face recognition tasks.
Ranked #1 on
Face Verification
on CALFW
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
For the second issue, we define a new metric to measure the robustness of gaze estimator, and propose an adversarial training based Disturbance with Ordinal loss (DwO) method to improve it.
Fast adversarial training for semi-supervised learning
The proposed method generates bad samples of high-quality by use of the adversarial training used in VAT.
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
We demonstrate the effectiveness of our trainable quantizer on ImageNet dataset with various network architectures such as ResNet-18, -34 and AlexNet, on which it outperforms existing methods to achieve the state-of-the-art accuracy.
Deep generative-contrastive networks for facial expression recognition
In this paper, we propose to utilize contrastive representation that embeds a distinctive expressive factor for a discriminative purpose.
Facial Expression Recognition
Facial Expression Recognition (FER)
Rotating Your Face Using Multi-Task Deep Neural Network
This paper proposes a new deep architecture based on a novel type of multitask learning, which can achieve superior performance in rotating to a target-pose face image from an arbitrary pose and illumination image while preserving identity.
