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Debin Meng's Projects

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

acastle icon acastle

The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"

bayesian_mqda icon bayesian_mqda

Shallow Bayesian Meta Learning for Real World Few-shot Recognition

curated-list-of-awesome-3d-morphable-model-software-and-data icon curated-list-of-awesome-3d-morphable-model-software-and-data

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

emotion-fan icon emotion-fan

ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos

emotion-fbp icon emotion-fbp

ACM ICMI 2019: Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition

face2face icon face2face

A python library to to fit 3D morphable models to images of faces and capture facial performance overtime with no markers or a special mount

facemaskdetection icon facemaskdetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

ict-facekit icon ict-facekit

ICT's Vision and Graphics Lab's morphable face model and toolkit

image-process icon image-process

冈萨雷斯《数字图像处理》Python实现(第三版)

kdd2020-calibration icon kdd2020-calibration

How to calibrate your neural network classifier: Getting accurate probabilities from a classification model

meta-dataset icon meta-dataset

A dataset of datasets for learning to learn from few examples

metadl icon metadl

AAAI 2021 - Workshop 'Meta-Learning and Co-Hosted Competition' challenge repository

odin icon odin

A simple and effective method for detecting out-of-distribution images in neural networks.

pytorch_face_landmark icon pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

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