Fabien Baradel's repositories
object_level_visual_reasoning
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
glimpse_clouds
Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018
awesome-action-recognition
A curated list of action recognition and related area resources
a3c_continuous
A continuous action space version of A3C LSTM in pytorch
Frames_Extractor
A short python script to extract frames from video using ffmpeg
pretorched-x
Pretrained Image & Video ConvNets for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, etc.
actions-for-actions
Diagnostic tools and additional visualizations from "What Actions are Needed for Understanding Human Actions in Videos?" ICCV 2017
albumentations
fast image augmentation library and easy to use wrapper around other libraries
All_I_need_is_organization
Trying to organizing a bit my research
CFM-HRI-RGB-D-action-database
UESTC RGB-D Varying-view action database. This multi-view action database is captured by Kinect v2.0 with modality of RGB video, 3D skeleton sequences and depth map sequences.
clevr-dataset-gen
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
DRL_in_CV_Papers
Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:
fabienbaradel.github.io
Here is my website using Minimal Mistakes
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
ffmpeg-commands
Collection of useful FFMPEG commands for processing audio and video files.
latex-templates
A collection of LaTeX templates used for research, courses, and miscellanea.
maskrcnn-benchmark
Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.
neural_renderer
Code for the paper "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
Plotly-plots
IPython notebooks for Plotly plots
torch_videovision
Transforms for video datasets in pytorch