← Authors

Kaiming He

63 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (87) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌟 Keyword Trendsetter Combo (10) 🏠 Conference Loyalist (30) 🀝 Dynamic Duo (24) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸš€ Conference Pioneer ❓ The Questioner (3) πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (63) πŸ—ƒοΈ Keyword Collector (239)

Conferences

CVPR (30) ICCV (14) NIPS (8) ECCV (4) ICLR (4) ICML (3)

Top co-authors

Ross Girshick (24) Jian Sun (18) Piotr DollΓ‘r (14) Saining Xie (8) Xinlei Chen (8) haoqi fan (6) Christoph Feichtenhofer (6) Jifeng Dai (5) Yanghao Li (4) Tianhong Li (4)

Keywords

convolutional neural network (12) object detection (9) semantic segmentation (9) instance segmentation (6) self-supervised learning (5) image classification (5) transfer learning (4) representation learning (4) unsupervised learning (4) feature extraction (4) vision transformer (3) contrastive learning (3) image recognition (3) neural network optimization (3) vector quantization (3) model compression (2) image segmentation (2) weakly supervised learning (2) image generation (2) neural network architecture (2)

Papers

TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes ICLR 2025
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens ICLR 2025
Transformers without Normalization CVPR 2025
Highly Compressed Tokenizer Can Generate Without Training ICML 2025
Is Noise Conditioning Necessary for Denoising Generative Models? ICML 2025
A Decade's Battle on Dataset Bias: Are We There Yet? ICLR 2025
Deconstructing Denoising Diffusion Models for Self-Supervised Learning ICLR 2025
Physically Compatible 3D Object Modeling from a Single Image NIPS 2024
Return of Unconditional Generation: A Self-supervised Representation Generation Method NIPS 2024
Autoregressive Image Generation without Vector Quantization NIPS 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers NIPS 2024
Scaling Language-Image Pre-Training via Masking CVPR 2023
Masked Autoencoders Are Scalable Vision Learners CVPR 2022
Exploring Plain Vision Transformer Backbones for Object Detection ECCV 2022
Masked Autoencoders As Spatiotemporal Learners NIPS 2022
Exploring Simple Siamese Representation Learning CVPR 2021
An Empirical Study of Training Self-Supervised Vision Transformers ICCV 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning CVPR 2021
Designing Network Design Spaces CVPR 2020
Are Labels Necessary for Neural Architecture Search? ECCV 2020
Graph Structure of Neural Networks ICML 2020
A Multigrid Method for Efficiently Training Video Models CVPR 2020
PointRend: Image Segmentation As Rendering CVPR 2020
Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020
SlowFast Networks for Video Recognition ICCV 2019
Long-Term Feature Banks for Detailed Video Understanding CVPR 2019
Feature Denoising for Improving Adversarial Robustness CVPR 2019
Panoptic Feature Pyramid Networks CVPR 2019
Panoptic Segmentation CVPR 2019
Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019
Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019
TensorMask: A Foundation for Dense Object Segmentation ICCV 2019
Rethinking ImageNet Pre-Training ICCV 2019
Exploring the Limits of Weakly Supervised Pretraining ECCV 2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs NIPS 2018
Data Distillation: Towards Omni-Supervised Learning CVPR 2018
Learning to Segment Every Thing CVPR 2018
Non-Local Neural Networks CVPR 2018
Detecting and Recognizing Human-Object Interactions CVPR 2018
Group Normalization ECCV 2018
Transitive Invariance for Self-Supervised Visual Representation Learning ICCV 2017
Feature Pyramid Networks for Object Detection CVPR 2017
Aggregated Residual Transformations for Deep Neural Networks CVPR 2017
Focal Loss for Dense Object Detection ICCV 2017
Mask R-CNN ICCV 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks NIPS 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation CVPR 2016
Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016
Deep Residual Learning for Image Recognition CVPR 2016
Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015
A Geodesic-Preserving Method for Image Warping CVPR 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation ICCV 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks NIPS 2015
Convolutional Neural Networks at Constrained Time Cost CVPR 2015
Convolutional Feature Masking for Joint Object and Stuff Segmentation CVPR 2015
Sparse Projections for High-Dimensional Binary Codes CVPR 2015
Product Sparse Coding CVPR 2014
Joint Inverted Indexing ICCV 2013
Constant Time Weighted Median Filtering for Stereo Matching and Beyond ICCV 2013
K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes CVPR 2013
Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013
Content-Aware Rotation ICCV 2013