[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"
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Apr 25, 2017 - MATLAB
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cvpr2016
Here are 11 public repositories matching this topic...
A non-iterative algorithm to reconstruct images from compressively sensed measurements.
image-reconstruction research-paper cvpr compressive-sensing pytorch-implementation cvpr2016 reconnet non-iterative
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Oct 24, 2020 - Jupyter Notebook
A modern implementation of CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."
computer-vision deep-learning torch lstm gru resnet-50 paper-implementations cvpr2016 group-activity-recognition
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Feb 24, 2025 - Python
A python re-implementation of Real-Time Salient Object Detection with a Minimum Spanning Tree, CVPR 2016
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Feb 13, 2020 - Python
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
python machine-learning computer-vision deep-learning image-reconstruction tensorflow machine-learning-algorithms image-processing cnn deeplearning convolutional-neural-networks super-resolution cvpr vdsr-algorithm vdsr superresolution image-enhancement cvpr16 single-image-super-resolution cvpr2016
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May 9, 2019 - Python
Executable binaries of Joint Recovery of Dense Correspondence and Cosegmentation in Two Images (CVPR 2016)
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Nov 2, 2016
A modern PyTorch implementation of hierarchical deep temporal models for group activity recognition
python neural-network pipeline pytorch lstm baseline resnet-50 f1-score paper-implementations volleyball cnn-lstm cvpr2016 group-activity-recognition comuter-vision
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Oct 15, 2025 - Python
Implementation of "Image Style Transfer Using Convolutional Neural Networks", CVPR'2016 paper
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May 28, 2025 - Python
A modern pytorch implementation of CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."
computer-vision deep-learning torch lstm paper-implementations cvpr2016 group-activity-recognition resent
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Jun 19, 2026 - Python
This project implements a hierarchical deep learning approach for recognizing group activities in videos. The core idea is to model both individual person actions and group-level activities using temporal dynamics captured by LSTM networks.
computer-vision deep-learning torch lstm resnet-50 paper-implementations cvpr2016 group-activity-recognition
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Oct 29, 2025 - Python
Reproduced "Hierarchical Deep Temporal Models for Group Activity Recognition" paper.
computer-vision pytorch lstm-neural-networks cvpr2016 paper-implementation group-activity-recognition
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Jun 18, 2025 - Jupyter Notebook
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