A deep neural network for face alignment

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

Pytorch implementation for LapSRN (CVPR2017)

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Image Captions Generation with Spatial and Channel-wise Attention

RPN+(Tensorflow) for people detection

🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"

Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

Semantically consistent regularizer for zero-shot learning

Official Implementation of CVPR 2017 Oral paper "Deep 360 Pilot: Learning a Deep Agent for Piloting through 360◦ Sports Videos"

Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"

THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities

Pixelwise Instance Segmentation with a Dynamically Instantiated Network (CVPR 2017)

Download papers and other supplementals from ICCV2017/CVPR2017 in fast and wisely-organized way

Tensorflow Implementation of the Paper "SST: Single-Stream Temporal Action Proposals" in CVPR 2017.