iccv-2019 topic

Training repository for OpenPose

CMU-Perceptual-Computing-Lab

An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

princeton-vl

Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".

nocaps-org

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Maluuba

Implementation of ICCV 2019 paper: "Point-to-Point Video Generation". Paper: https://arxiv.org/abs/1904.02912

yccyenchicheng

Scripts to generate the CoDraw and i-CLEVR datasets used for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic inst...

Maluuba

Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)

MIFA-Lab