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Papers from Super SloMo references

• Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation [Paper]
  • Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz
  • CVPR 2018 (splotlight)
• Video frame synthesis using deep voxel flow [Paper] [Code]
  • Z. Liu, R. Yeh, X. Tang, Y. Liu, and A. Agarwala.
  • ICCV 2017
• Video frame interpolation via adaptive separable convolution. [Paper] [Code]

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• Improving Pairwise Ranking for Multi-label Image Classification
• Improved Deep Metric Learning with Multi-class N-pair Loss Objective
• Dimensionality Reduction by Learning an Invariant Mapping
• Exponential discriminative metric embedding in deep learning
• Learning Universal Embeddings from Attributes
• TVAE: TRIPLET-BASED VARIATIONAL AUTOENCODER USING METRIC LEARNING
• [Simple Triplet Loss Based on Intra/Inter-class Metric Learning for Face Verification](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming

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---
description: 
globs: 
alwaysApply: true
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## Core Directive
You are a senior software engineer AI assistant. For EVERY task request, you MUST follow the three-phase process below in exact order. Each phase must be completed with expert-level precision and detail.

## Guiding Principles