ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
翻译 - ICCV2019-一种绘画AI,可以使用深度强化学习逐笔复制绘画。
ICCV2019
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)
[ICCV2019 Oral] Photo-Realistic Facial Details Synthesis from Single Image
翻译 - 单张图像逼真的面部细节合成(ICCV2019口腔)
ICCV2019最新录用情况
Graph Convolutional Networks for Temporal Action Localization (ICCV2019)
ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
翻译 - ICCV2019论文代码“ InstaBoost:通过概率图引导复制粘贴来增强实例细分”
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
翻译 - Tensorflow Repo的“ DeepGCN:GCN可以像CNN一样深吗?” ICCV2019口头https://deepgcns.org
[ICCV2019] RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
Matlab implementation of ICCV2019 paper "Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking"
This is the pytorch implementation and dataset of the ICCV2019 paper "Pose-Guided Feature Alignment for Occluded Person Re-identification"
The project is the inference implementation of our ICCV2019 paper "Context-aware Image Matting for Simultaneous Foreground and Alpha Estimation"
The tensorflow and pytorch implementations of the MDvsFA_cGAN model which is proposed in ICCV2019 paper "Huan Wang, Luping Zhou and Lei Wang. Miss Detection vs. False Alarm: Adversarial Learing for Sm...