Holger Caesar

A ConvNet for the 2020s

Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Foundation models for generalist medical artificial intelligence

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

A survey on generative adversarial network-based text-to-image synthesis

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

Weakly Supervised Object Localization and Detection: A Survey

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

Semantic Correlation Promoted Shape-Variant Context for Segmentation

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Deep High-Resolution Representation Learning for Visual Recognition

Object Detection in 20 Years: A Survey

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Semantic Understanding of Scenes Through the ADE20K Dataset

High-Resolution Image Synthesis with Latent Diffusion Models

COCO-Stuff: Thing and Stuff Classes in Context

Weakly Supervised Object Localization Using Things and Stuff Transfer