carlprilo

carlprilo's Stars

• filsv/iOSDeviceSupport

  Xcode iPhoneOS (iOS) DeviceSupport files (6.0 - 17.0)

  6.6k180145876

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.7k52135775

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.2k2058458

• facebookresearch/swav

  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

  Language:Python2k41116280

• facebookresearch/moco-v3

  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

  Language:Python1.2k1734158

• piergiaj/pytorch-i3d

  Language:Python9621281250

• Epiphqny/VisTR

  [CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

  Language:Python739117895

• feichtenhofer/twostreamfusion

  Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

  Language:Cuda7122458188

• blackfeather-wang/ISDA-for-Deep-Networks

  An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

  Language:Python582163593

• chaoyuaw/pytorch-coviar

  Compressed Video Action Recognition

  Language:Python5001193126

• mzolfaghari/ECO-efficient-video-understanding

  Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

  Language:Jupyter Notebook436385596

• tomrunia/OpticalFlow_Visualization

  Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

  Language:Python4179652

• nmhkahn/torchsummaryX

  torchsummaryX: Improved visualization tool of torchsummary

  Language:Python30222132

• TengdaHan/CoCLR

  [NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

  Language:Python283135332

• piergiaj/representation-flow-cvpr19

  Code and models for our CVPR'19 paper "Representation Flow for Action Recognition"

  Language:Python2548059

• gabeur/mmt

  Multi-Modal Transformer for Video Retrieval

  Language:Python253112941

• dvlab-research/Simple-SR

  Include MuCAN, LAPAR, etc.

  Language:Python22552834

• maple-research-lab/AdCo

  AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

  Language:Python16271719

• fxmeng/filter-grafting

  Filter Grafting for Deep Neural Networks(CVPR 2020)

  Language:Python14062023

• lxx1991/pytorch-voxel-flow

  Video Frame Synthesis using Deep Voxel Flow

  Language:Python13613936

• yuguangnudt/VEC_VAD

  Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.

  Language:Python9542219

• MihawkHu/DCASE2020_task1

  Code for DCASE 2020 task 1a and task 1b.

  Language:Python8572228

• facebookresearch/dmc-net

  Internship project on compressed video

  Language:Python451099

• PeihaoChen/RSPNet

  Official Pytorch implementation for AAAI2021 paper (RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning)

  Language:Python36179

• ed-fish/spatio-temporal-contrastive-film

  Unsupervised Film Genre Classification using Spatio-Temporal Contrastive Learning

  Language:Python303102

• JchenXu/human-motion-prior

  Exploring Versatile Prior for Human Motion via Motion Frequency Guidance (3DV2021)

  Language:Python27230

• papermsucode/mutual-modality-learning

  Mutual Modality Learning code

  Language:Python15121

• marmoi/dcase2021_task1a_baseline

  Language:Python146

• shanwangshan/TAU-urban-audio-visual-scenes

  Language:Python8114

• laomao0/DVF_pytorch

  Language:Python3200