Michael Maire

29 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (12)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🗃️ Keyword Collector (142) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (29) 🔥 Unstoppable (11) ⚡ Prolific Year (5)

Conferences

CVPR (11) NIPS (7) ICCV (3) ICML (3) ICLR (2) ECCV (1) OSDI (1) WACV (1)

Top co-authors

Pedro Savarese (7) Xin Yuan (5) Xiao Zhang (5) Stella X. Yu (5) Sudarshan Babu (3) Takuya Narihira (3) Greg Shakhnarovich (3) Henry Hoffmann (2) Tri Huynh (2) Gregory Shakhnarovich (2)

Keywords

semantic segmentation (6) convolutional neural network (4) self-supervised learning (4) contrastive learning (3) image segmentation (3) image classification (3) visual representation (3) deep neural network (2) diffusion model (2) affinity matrix (2) unsupervised segmentation (2) stochastic gradient descent (2) visual representation learning (2) image generation (2) transfer learning (2) representation learning (2) instance segmentation (2) attention mechanism (2) learning rate adaptation (2) intrinsic image decomposition (2)

Papers

Nested Diffusion Models Using Hierarchical Latent Priors CVPR 2025 PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement ICCV 2025 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations CVPR 2024 Latent Intrinsics Emerge from Training to Relight NIPS 2024 ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications OSDI 2024 HyperFields: Towards Zero-Shot Generation of NeRFs from Text ICML 2024 Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation NIPS 2024 Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation NIPS 2023 Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NIPS 2022 Boosting Contrastive Self-Supervised Learning With False Negative Cancellation WACV 2022 Multimodal Contrastive Training for Visual Representation Learning CVPR 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NIPS 2021 Information-Theoretic Segmentation by Inpainting Error Maximization CVPR 2021 Domain-Independent Dominance of Adaptive Methods CVPR 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification ICLR 2021 Self-Supervised Visual Representation Learning from Hierarchical Grouping NIPS 2020 Winning the Lottery with Continuous Sparsification NIPS 2020 Pixel Consensus Voting for Panoptic Segmentation CVPR 2020 Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020 Multigrid Neural Memory ICML 2020 Learning Implicitly Recurrent CNNs Through Parameter Sharing ICLR 2019 Regularizing Deep Networks by Modeling and Predicting Label Structure CVPR 2018 Sparsely Aggregated Convolutional Networks ECCV 2018 Multigrid Neural Architectures CVPR 2017 Colorization as a Proxy Task for Visual Understanding CVPR 2017 Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding CVPR 2016 Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression ICCV 2015 Learning Lightness From Human Judgement on Relative Reflectance CVPR 2015 Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation ICCV 2013