CVPR 2018: Real-World Repetition Estimation by Div, Grad and Curl
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Updated
Jun 1, 2018
CVPR 2018: Real-World Repetition Estimation by Div, Grad and Curl
Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor
PyTorch reimplementation of the "Single Image Depth Estimation Using Fourier Domain Analysis" paper
Pytorch implementation of https://github.com/val-iisc/nag
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
Code for DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Implementation of our CVPR 2018 Paper (FFNet: Video Fast-Forwarding via Reinforcement Learning)
Code for CVPR'18 "Grounding Referring Expressions in Images by Variational Context"
implement "2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning"
Visual Question Generation reading list
Code for "Controllable Video Generation with Sparse Trajectories" in PyTorch
Salient Object Detection Driven by Fixation Prediction (CVPR2018)
CVPR2018 Face Super-resolution with supplementary Attributes
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection
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