Flaick
Ph.D. Student at CAMMA and CAMP
University of Strasbourg & Technical University of MunichStrasbourg
Pinned Repositories
SSG-VQA
SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
SurgVLP
Learning multi-modal representations by watching hundreds of surgical video lectures
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Candev2018-aurora
Candev Contest 2018. Classification model.
context_encoder_pytorch
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
LR-License-Plate-Generation
A Pytorch implementation about Novel License Plate Generation based on <To learn image super-resolution, use a GAN to learn how to do image degradation first>
Surgical-Workflow-Anticipation
Surgical Instrument & Phase Anticipation
VNet
Segmentation of Kidney and Tumor Competition A Pytorch implementation for <V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation>
Flaick's Repositories
Flaick/LR-License-Plate-Generation
A Pytorch implementation about Novel License Plate Generation based on <To learn image super-resolution, use a GAN to learn how to do image degradation first>
Flaick/VNet
Segmentation of Kidney and Tumor Competition A Pytorch implementation for <V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation>
Flaick/Surgical-Workflow-Anticipation
Surgical Instrument & Phase Anticipation
Flaick/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Flaick/Candev2018-aurora
Candev Contest 2018. Classification model.
Flaick/context_encoder_pytorch
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
Flaick/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Flaick/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Flaick/Generative_Adversarial_Networks_PyTorch
(PyTorch) Implementations of GAN, Improved GAN, DCGAN, LAPGAN, and InfoGAN in PyTorch
Flaick/ImageCaptioning.pytorch
(Only support pytorch 0.3 now) image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)
Flaick/Lab-Website-Template-reference
Website of ProfessorZhu Lab
Flaick/mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
Flaick/mmcv
OpenMMLab Computer Vision Foundation
Flaick/pysc2
StarCraft II Learning Environment
Flaick/tomorrow-theme
Tomorrow Theme the precursor to Base16 Theme
Flaick/detr
End-to-End Object Detection with Transformers
Flaick/Awesome-Healthcare-Foundation-Models
Flaick/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Flaick/Flaick
Flaick/Flaick.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Flaick/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
Flaick/SSG-VQA
SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
Flaick/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.