Michael Maire
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
13
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Nested Diffusion Models Using Hierarchical Latent Priors. | Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire |
| 2025 | ICCV | Progressor: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement. | Tewodros W. Ayalew, Xiao Zhang, Kevin Yuanbo Wu, Tianchong Jiang, Michael Maire, Matthew R. Walter |
| 2024 | CVPR | Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. | Xiao Zhang, David Yunis, Michael Maire |
| 2024 | ICML | HyperFields: Towards Zero-Shot Generation of NeRFs from Text. | Sudarshan Babu, Richard Liu, Avery Zhou, Michael Maire, Greg Shakhnarovich, Rana Hanocka |
| 2024 | OSDI | ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. | Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire |
| 2024 | SIGCOMM | CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. | Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang |
| 2024 | VTS | Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators. | Mingyuan Xiang, Xuhan Xie, Pedro Savarese, Xin Yuan, Michael Maire, Yanjing Li |
| 2022 | ICSE | Automated Testing of Software that Uses Machine Learning APIs. | Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu |
| 2022 | WACV | Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. | Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi |
| 2021 | CVPR | Information-Theoretic Segmentation by Inpainting Error Maximization. | Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester |
| 2021 | CVPR | Domain-Independent Dominance of Adaptive Methods. | Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire |
| 2021 | CVPR | Multimodal Contrastive Training for Visual Representation Learning. | Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta |
| 2021 | ICLR | Growing Efficient Deep Networks by Structured Continuous Sparsification. | Xin Yuan, Pedro Henrique Pamplona Savarese, Michael Maire |
| 2021 | ICSE | Are Machine Learning Cloud APIs Used Correctly? | Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu |
| 2021 | ICSE | A Replication of Are Machine Learning Cloud APIs Used Correctly. | Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu |
| 2020 | CVPR | Pixel Consensus Voting for Panoptic Segmentation. | Haochen Wang, Ruotian Luo, Michael Maire, Greg Shakhnarovich |
| 2020 | ICML | Multigrid Neural Memory. | Tri Huynh, Michael Maire, Matthew R. Walter |
| 2020 | ICML | Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. | Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire |
| 2020 | USENIX | ALERT: Accurate Learning for Energy and Timeliness. | Chengcheng Wan, Muhammad Husni Santriaji, Eri Rogers, Henry Hoffmann, Michael Maire, Shan Lu |
| 2019 | ICLR | Learning Implicitly Recurrent CNNs Through Parameter Sharing. | Pedro Savarese, Michael Maire |
| 2018 | CVPR | Regularizing Deep Networks by Modeling and Predicting Label Structure. | Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich |
| 2018 | ECCV | Self-Supervised Relative Depth Learning for Urban Scene Understanding. | Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller |
| 2018 | ECCV | Sparsely Aggregated Convolutional Networks. | Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan |
| 2017 | CVPR | Multigrid Neural Architectures. | Tsung-Wei Ke, Michael Maire, Stella X. Yu |
| 2017 | CVPR | Colorization as a Proxy Task for Visual Understanding. | Gustav Larsson, Michael Maire, Gregory Shakhnarovich |
| 2017 | ICLR | FractalNet: Ultra-Deep Neural Networks without Residuals. | Gustav Larsson, Michael Maire, Gregory Shakhnarovich |
| 2016 | CVPR | Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. | Michael Maire, Takuya Narihira, Stella X. Yu |
| 2016 | ECCV | Learning Representations for Automatic Colorization. | Gustav Larsson, Michael Maire, Gregory Shakhnarovich |
| 2015 | CVPR | Learning lightness from human judgement on relative reflectance. | Takuya Narihira, Michael Maire, Stella X. Yu |
| 2015 | ICCV | Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. | Takuya Narihira, Michael Maire, Stella X. Yu |
| 2014 | ACCV | Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. | Michael Maire, Stella X. Yu, Pietro Perona |
| 2014 | ECCV | Microsoft COCO: Common Objects in Context. | Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollr, C. Lawrence Zitnick |
| 2013 | BMVC | Hierarchical Scene Annotation. | Michael Maire, Stella X. Yu, Pietro Perona |
| 2013 | ICCV | Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. | Michael Maire, Stella X. Yu |
| 2011 | CVPR | Occlusion boundary detection and figure/ground assignment from optical flow. | Patrik Sundberg, Thomas Brox, Michael Maire, Pablo Arbelez, Jitendra Malik |
| 2011 | ICCV | Object detection and segmentation from joint embedding of parts and pixels. | Michael Maire, Stella X. Yu, Pietro Perona |
| 2010 | ECCV | Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding. | Michael Maire |
| 2009 | CVPR | From contours to regions: An empirical evaluation. | Pablo Arbelez, Michael Maire, Charless C. Fowlkes, Jitendra Malik |
| 2008 | CVPR | Using contours to detect and localize junctions in natural images. | Michael Maire, Pablo Arbelez, Charless C. Fowlkes, Jitendra Malik |
| 2006 | CVPR | SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition. | Hao Zhang, Alexander C. Berg, Michael Maire, Jitendra Malik |
| 2004 | CVPR | Names and Faces in the News. | Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth |
| 2004 | ECCV | Recognition by Probabilistic Hypothesis Construction. | Pierre Moreels, Michael Maire, Pietro Perona |