Kaiming He
- Papers
- 19
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Authored papers
19Back to Basics: Let Denoising Generative Models Denoise
arXiv 2025
Fractal Generative Models
arXiv 2025
Autoregressive Image Generation without Vector Quantization
arXiv 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
arXiv 2024
Return of Unconditional Generation: A Self-supervised Representation Generation Method
arXiv 2023
Exploring Plain Vision Transformer Backbones for Object Detection
arXiv 2022
Scaling Language-Image Pre-training via Masking
CVPR 2023 1
Masked Autoencoders As Spatiotemporal Learners
arXiv 2022
Masked Autoencoders Are Scalable Vision Learners
CVPR 2022 1
An Empirical Study of Training Self-Supervised Vision Transformers
ICCV 2021 10
Improved Baselines with Momentum Contrastive Learning
arXiv 2020
Exploring Simple Siamese Representation Learning
CVPR 2021 1
Panoptic Segmentation
panoptic-segmentation-1
Focal Loss for Dense Object Detection
focal-loss-for-dense-object-detection-1
Non-local Neural Networks
non-local-neural-networks-1
Identity Mappings in Deep Residual Networks
arXiv 2016
Aggregated Residual Transformations for Deep Neural Networks
aggregated-residual-transformations-for-deep-1
Deep Residual Learning for Image Recognition
deep-residual-learning-for-image-recognition-1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
faster-r-cnn-towards-real-time-object-1
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