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saif sayed's Projects

pnnet icon pnnet

Conjoined Triple Deep Network for Learning Local Image Descriptors

pose-attention icon pose-attention

Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)

preview icon preview

Code for the semi-supervised method proposed in our CVPR 2018 paper "Learning Pose Specific Representations by Predicting Different Views"

pwp3d icon pwp3d

PWP3D, Real-time segmentation and tracking of 3D objects.

pyflow icon pyflow

Fast, accurate and easy to run dense optical flow with python wrapper

python icon python

All Algorithms implemented in Python

pytorch-mask-x-rcnn icon pytorch-mask-x-rcnn

PyTorch implementation of the Mask-X-RCNN network proposed in the 'Learning to Segment Everything' paper by Facebook AI Research

pytorch-openpose icon pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

pytorch-unflow icon pytorch-unflow

a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

rpan icon rpan

Our implementation of Recurrent Pose Attention in Du et al.: "RPAN: An End-to-End Recurrent Pose-attention Network for Action Recognition in Videos"

rulstm icon rulstm

Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.

sct icon sct

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation (CVPR2020) https://arxiv.org/abs/2003.14266

segnet-tutorial icon segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

sst icon sst

SST: Single-Stream Temporal Action Proposals (Official Repo)

st-gcn icon st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

super-events-cvpr18 icon super-events-cvpr18

Code for our CVPR 2018 paper "Learning Latent Super-Events to Detect Multiple Activities in Videos"

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