Paper-list

Low Power Computer Vision

• Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution ICCV'19
• ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network CVPR'19

Meta Learning

• Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning CVPR'19
• Meta-Learning With Differentiable Convex Optimization CVPR'19
• Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR'19
• Task Agnostic Meta-Learning for Few-Shot Learning CVPR'19
• Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation ICLR'2020

Image/Video Super Resolution

• SROBB: Targeted Perceptual Loss for Single Image Super-Resolution ICCV'19
• Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model ICCV'19
• Two-Stream Action Recognition-Oriented Video Super-Resolution ICCV'19

Graph Neural Network

• AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism ICCV'19
• Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning ICCV'19
• Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition ICCV'19
• Graph Convolutional Networks for Temporal Action Localization ICCV'19

Semantic Segmentation & Domain Adaptation

• Knowledge Adaptation for Efficient Semantic Segmentation CVPR'19
• ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR'19
• Structured Knowledge Distillation for Semantic Segmentation CVPR'19
• Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation CVPR'19
• Bidirectional Learning for Domain Adaptation of Semantic Segmentation CVPR'19
• Adaptive Pyramid Context Network for Semantic Segmentation CVPR'19
• BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation arxiv

Style Transfer

• Photorealistic Style Transfer via Wavelet Transforms ICCV'19
• Content and Style Disentanglement for Artistic Style Transfer ICCV'19
• Controllable Artistic Text Style Transfer via Shape-Matching GAN ICCV'19

GAN

• Twin Auxilary Classifiers GAN NIPS'19
• Multi-marginal Wasserstein GAN NIPS'19
• PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph NIPS'19
• Progressive Augmentation of GANs NIPS'19

3D Computer Vision

• FlowNet3D: Learning Scene Flow in 3D Point Clouds CVPR'19
• 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training CVPR'19

CNN

• Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks NIPS'19
• Gaussian-Based Pooling for Convolutional Neural Networks NIPS'19
• Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NIPS'19
• Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR'19
• Kernel Transformer Networks for Compact Spherical Convolution CVPR'19
• Pixel-Adaptive Convolutional Neural Networks CVPR'19

Natural Language Processing

• A Robust Abstractive System for Cross-Lingual Summarization NAACL'19
• A Simple Joint Model for Improved Contextual Neural Lemmatization NAACL'19
• A Structural Probe for Finding Syntax in Word Representations NAACL'19
• Abusive Language Detection with Graph Convolutional Networks NAACL'19