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Kaiming He

68 papers · 2013–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (91) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🏠 Conference Loyalist (35) πŸ”¬ Deep Specialist (13) 🀝 Dynamic Duo (24) 🌟 Keyword Trendsetter Combo (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🧭 Keyword Pioneer ⚑ Prolific Year Β· Productive πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Silver ❓ The Questioner (3) πŸš€ Conference Pioneer 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Silver πŸ—ƒοΈ Keyword Collector (278)

Papers

ARC Is a Vision Problem! CVPR 2026 Back to Basics: Let Denoising Generative Models Denoise CVPR 2026 Bidirectional Normalizing Flow: From Data to Noise and Back CVPR 2026 Improved Mean Flows: On the Challenges of Fastforward Generative Models CVPR 2026 In Pursuit of Pixel Supervision for Visual Pre-training CVPR 2026 A Decade's Battle on Dataset Bias: Are We There Yet? ICLR 2025 Deconstructing Denoising Diffusion Models for Self-Supervised Learning ICLR 2025 Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens ICLR 2025 Highly Compressed Tokenizer Can Generate Without Training ICML 2025 Is Noise Conditioning Necessary for Denoising Generative Models? ICML 2025 TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes ICLR 2025 Transformers without Normalization CVPR 2025 Autoregressive Image Generation without Vector Quantization NeurIPS 2024 Physically Compatible 3D Object Modeling from a Single Image NeurIPS 2024 Return of Unconditional Generation: A Self-supervised Representation Generation Method NeurIPS 2024 Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers NeurIPS 2024 Scaling Language-Image Pre-Training via Masking CVPR 2023 Exploring Plain Vision Transformer Backbones for Object Detection ECCV 2022 Masked Autoencoders Are Scalable Vision Learners CVPR 2022 Masked Autoencoders As Spatiotemporal Learners NeurIPS 2022 A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning CVPR 2021 An Empirical Study of Training Self-Supervised Vision Transformers ICCV 2021 Exploring Simple Siamese Representation Learning CVPR 2021 A Multigrid Method for Efficiently Training Video Models CVPR 2020 Are Labels Necessary for Neural Architecture Search? ECCV 2020 Designing Network Design Spaces CVPR 2020 Graph Structure of Neural Networks ICML 2020 Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020 PointRend: Image Segmentation As Rendering CVPR 2020 Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019 Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019 Feature Denoising for Improving Adversarial Robustness CVPR 2019 Long-Term Feature Banks for Detailed Video Understanding CVPR 2019 Panoptic Feature Pyramid Networks CVPR 2019 Panoptic Segmentation CVPR 2019 Rethinking ImageNet Pre-Training ICCV 2019 SlowFast Networks for Video Recognition ICCV 2019 TensorMask: A Foundation for Dense Object Segmentation ICCV 2019 Data Distillation: Towards Omni-Supervised Learning CVPR 2018 Detecting and Recognizing Human-Object Interactions CVPR 2018 Exploring the Limits of Weakly Supervised Pretraining ECCV 2018 GLoMo: Unsupervised Learning of Transferable Relational Graphs NeurIPS 2018 Group Normalization ECCV 2018 Learning to Segment Every Thing CVPR 2018 Non-Local Neural Networks CVPR 2018 Aggregated Residual Transformations for Deep Neural Networks CVPR 2017 Feature Pyramid Networks for Object Detection CVPR 2017 Focal Loss for Dense Object Detection ICCV 2017 Mask R-CNN ICCV 2017 Transitive Invariance for Self-Supervised Visual Representation Learning ICCV 2017 Deep Residual Learning for Image Recognition CVPR 2016 Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016 R-FCN: Object Detection via Region-based Fully Convolutional Networks NeurIPS 2016 ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation CVPR 2016 A Geodesic-Preserving Method for Image Warping CVPR 2015 BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation ICCV 2015 Convolutional Feature Masking for Joint Object and Stuff Segmentation CVPR 2015 Convolutional Neural Networks at Constrained Time Cost CVPR 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015 Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks NeurIPS 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Product Sparse Coding CVPR 2014 Constant Time Weighted Median Filtering for Stereo Matching and Beyond ICCV 2013 Content-Aware Rotation ICCV 2013 Joint Inverted Indexing 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