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 (CVPR (2), 2004)

Recognition by Probabilistic Hypothesis Construction. - Pierre Moreels; Michael Maire; Pietro Perona (ECCV (1), 2004)

Making Latin Manuscripts Searchable using gHMMs. - Jaety Edwards; Yee Whye Teh; David A. Forsyth; Roger Bock; Michael Maire; Grace Vesom (NIPS, 2004)

SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition. - Hao Zhang 003; Alexander C. Berg; Michael Maire; Jitendra Malik (CVPR (2), 2006)

Using contours to detect and localize junctions in natural images. - Michael Maire; Pablo Arbeláez; Charless C. Fowlkes; Jitendra Malik (CVPR, 2008)

From contours to regions: An empirical evaluation. - Pablo Arbeláez; Michael Maire; Charless C. Fowlkes; Jitendra Malik (CVPR, 2009)

Simultaneous Segmentation and Figure/Ground Organization Using Angular Embedding. - Michael Maire (ECCV (2), 2010)

Occlusion boundary detection and figure/ground assignment from optical flow. - Patrik Sundberg; Thomas Brox; Michael Maire; Pablo Arbeláez; Jitendra Malik (CVPR, 2011)

Object detection and segmentation from joint embedding of parts and pixels. - Michael Maire; Stella X. Yu; Pietro Perona (ICCV, 2011)

Contour Detection and Hierarchical Image Segmentation. - Pablo Arbeláez; Michael Maire; Charless C. Fowlkes; Jitendra Malik (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Hierarchical Scene Annotation. - Michael Maire; Stella X. Yu; Pietro Perona (BMVC, 2013)

Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. - Michael Maire; Stella X. Yu (ICCV, 2013)

Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. - Michael Maire; Stella X. Yu; Pietro Perona (ACCV (4), 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (ECCV (5), 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; Lubomir D. Bourdev; Ross B. Girshick; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2014)

Corner Detection. - Michael Maire (Computer Vision, A Reference Guide, 2014)

Learning lightness from human judgement on relative reflectance. - Takuya Narihira; Michael Maire; Stella X. Yu (CVPR, 2015)

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. - Takuya Narihira; Michael Maire; Stella X. Yu (ICCV, 2015)

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. - Michael Maire; Takuya Narihira; Stella X. Yu (CVPR, 2016)

Learning Representations for Automatic Colorization. - Gustav Larsson; Michael Maire; Gregory Shakhnarovich (ECCV (4), 2016)

Neural Multigrid. - Tsung-Wei Ke; Michael Maire; Stella X. Yu (CoRR, 2016)

Multigrid Neural Architectures. - Tsung-Wei Ke; Michael Maire; Stella X. Yu (CVPR, 2017)

Colorization as a Proxy Task for Visual Understanding. - Gustav Larsson; Michael Maire; Gregory Shakhnarovich (CVPR, 2017)

FractalNet: Ultra-Deep Neural Networks without Residuals. - Gustav Larsson; Michael Maire; Gregory Shakhnarovich (ICLR (Poster), 2017)

Self-Supervised Depth Learning for Urban Scene Understanding. - Huaizu Jiang; Erik G. Learned-Miller; Gustav Larsson; Michael Maire; Greg Shakhnarovich (CoRR, 2017)

Regularizing Deep Networks by Modeling and Predicting Label Structure. - Mohammadreza Mostajabi; Michael Maire; Gregory Shakhnarovich (CVPR, 2018)

Self-Supervised Relative Depth Learning for Urban Scene Understanding. - Huaizu Jiang; Gustav Larsson; Michael Maire; Greg Shakhnarovich; Erik G. Learned-Miller (ECCV (11), 2018)

Sparsely Aggregated Convolutional Networks. - Ligeng Zhu; Ruizhi Deng; Michael Maire; Zhiwei Deng; Greg Mori; Ping Tan (ECCV (12), 2018)

Learning Implicitly Recurrent CNNs Through Parameter Sharing. - Pedro Savarese; Michael Maire (ICLR (Poster), 2019)

ALERT: Accurate Anytime Learning for Energy and Timeliness. - Chengcheng Wan 001; Muhammad Husni Santriaji; Eri Rogers; Henry Hoffmann; Michael Maire; Shan Lu 001 (CoRR, 2019)

Pixel Consensus Voting for Panoptic Segmentation. - Haochen Wang; Ruotian Luo; Michael Maire; Greg Shakhnarovich (CVPR, 2020)

Multigrid Neural Memory. - Tri Huynh; Michael Maire; Matthew R. Walter (ICML, 2020)

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks. - Chengcheng Wan 001; Henry Hoffmann; Shan Lu 001; Michael Maire (ICML, 2020)

Winning the Lottery with Continuous Sparsification. - Pedro Savarese; Hugo Silva 005; Michael Maire (NeurIPS, 2020)

Self-Supervised Visual Representation Learning from Hierarchical Grouping. - Xiao Zhang; Michael Maire (NeurIPS, 2020)

ALERT: Accurate Learning for Energy and Timeliness. - Chengcheng Wan 001; Muhammad Husni Santriaji; Eri Rogers; Henry Hoffmann; Michael Maire; Shan Lu 001 (USENIX ATC, 2020)

Information-Theoretic Segmentation by Inpainting Error Maximization. - Pedro Savarese; Sunnie S. Y. Kim; Michael Maire; Greg Shakhnarovich; David McAllester (CVPR, 2021)

Domain-Independent Dominance of Adaptive Methods. - Pedro Savarese; David McAllester; Sudarshan Babu; Michael Maire (CVPR, 2021)

Multimodal Contrastive Training for Visual Representation Learning. - Xin Yuan; Zhe Lin 001; Jason Kuen; Jianming Zhang 001; Yilin Wang 002; Michael Maire; Ajinkya Kale; Baldo Faieta (CVPR, 2021)

Growing Efficient Deep Networks by Structured Continuous Sparsification. - Xin Yuan; Pedro Henrique Pamplona Savarese; Michael Maire (ICLR, 2021)

Are Machine Learning Cloud APIs Used Correctly? - Chengcheng Wan 001; Shicheng Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE, 2021)

A Replication of Are Machine Learning Cloud APIs Used Correctly. - Chengcheng Wan 001; Shicheng Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE (Companion Volume), 2021)

Meta-Learning via Learning with Distributed Memory. - Sudarshan Babu; Pedro Savarese; Michael Maire (NeurIPS, 2021)

Automated Testing of Software that Uses Machine Learning APIs. - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yifan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE, 2022)

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise. - Pedro Savarese; Xin Yuan; Yanjing Li; Michael Maire (NeurIPS, 2022)

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. - Tri Huynh; Simon Kornblith; Matthew R. Walter; Michael Maire; Maryam Khademi (WACV, 2022)

Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation. - Xin Yuan; Pedro Savarese; Michael Maire (NeurIPS, 2023)

Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits. - Zhuokai Zhao; Takumi Matsuzawa; William Irvine; Michael Maire; Gordon L. Kindlmann (CoRR, 2023)

Structural Adversarial Objectives for Self-Supervised Representation Learning. - Xiao Zhang; Michael Maire (CoRR, 2023)

Automatic and Efficient Customization of Neural Networks for ML Applications. - Yuhan Liu; Chengcheng Wan 001; Kuntai Du; Henry Hoffmann; Junchen Jiang; Shan Lu 001; Michael Maire (CoRR, 2023)

CacheGen: Fast Context Loading for Language Model Applications. - Yuhan Liu; Hanchen Li; Kuntai Du; Jiayi Yao; Yihua Cheng; Yuyang Huang; Shan Lu 001; Michael Maire; Henry Hoffmann; Ari Holtzman; Ganesh Ananthanarayanan; Junchen Jiang (CoRR, 2023)

SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks. - Cyrus Zhou; Vaughn Richard; Pedro Savarese; Zachary Hassman; Michael Maire; Michael DiBrino; Yanjing Li (CoRR, 2023)

Run-Time Prevention of Software Integration Failures of Machine Learning APIs. - Chengcheng Wan 001; Yuhan Liu; Kuntai Du; Henry Hoffmann; Junchen Jiang; Michael Maire; Shan Lu 001 (Proc. ACM Program. Lang., 2023)

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations. - Xiao Zhang; David Yunis; Michael Maire (CVPR, 2024)

HyperFields: Towards Zero-Shot Generation of NeRFs from Text. - Sudarshan Babu; Richard Liu; Avery Zhou; Michael Maire; Greg Shakhnarovich; Rana Hanocka (ICML, 2024)

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation. - Xin Yuan; Michael Maire (NeurIPS, 2024)

Latent Intrinsics Emerge from Training to Relight. - Xiao Zhang; William Gao; Seemandhar Jain; Michael Maire; David A. Forsyth; Anand Bhattad (NeurIPS, 2024)

ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. - Yuhan Liu; Chengcheng Wan 001; Kuntai Du; Henry Hoffmann; Junchen Jiang; Shan Lu 001; Michael Maire (OSDI, 2024)

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 001; Ganesh Ananthanarayanan; Michael Maire; Henry Hoffmann; et al. (SIGCOMM, 2024)

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 (VTS, 2024)

Residual Connections Harm Self-Supervised Abstract Feature Learning. - Xiao Zhang; Ruoxi Jiang; William Gao; Rebecca Willett; Michael Maire (CoRR, 2024)

Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion. - Xin Yuan; Rana Hanocka; Michael Maire (CoRR, 2024)

Approaching Deep Learning through the Spectral Dynamics of Weights. - David Yunis; Kumar Kshitij Patel; Samuel Wheeler; Pedro Savarese; Gal Vardi; Karen Livescu; Michael Maire; Matthew R. Walter (CoRR, 2024)

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement. - Tewodros Ayalew; Xiao Zhang; Kevin Yuanbo Wu; Tianchong Jiang; Michael Maire; Matthew R. Walter (CoRR, 2024)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2024)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2024)

Keeper: Automated Testing and Fixing of Machine Learning Software. - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Nested Diffusion Models Using Hierarchical Latent Priors. - Xiao Zhang; Ruoxi Jiang; Rebecca Willett; Michael Maire (CVPR, 2025)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2025)

Hierarchical Implicit Neural Emulators. - Ruoxi Jiang; Xiao Zhang; Karan Jakhar; Peter Y. Lu; Pedram Hassanzadeh; Michael Maire; Rebecca Willett (CoRR, 2025)