Inferring M-Best Diverse Labelings in a Single One. - Alexander Kirillov; Bogdan Savchynskyy; Dmitrij Schlesinger; Dmitry P. Vetrov; Carsten Rother (ICCV, 2015)

M-Best-Diverse Labelings for Submodular Energies and Beyond. - Alexander Kirillov; Dmytro Shlezinger; Dmitry P. Vetrov; Carsten Rother; Bogdan Savchynskyy (NIPS, 2015)

Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. - Alexander Kirillov; Dmitrij Schlesinger; Walter Forkel; Anatoly Zelenin; Shuai Zheng 001; Philip H. S. Torr; Carsten Rother (CoRR, 2015)

Joint Training of Generic CNN-CRF Models with Stochastic Optimization. - Alexander Kirillov; Dmitrij Schlesinger; Shuai Zheng 001; Bogdan Savchynskyy; Philip H. S. Torr; Carsten Rother (ACCV (2), 2016)

Deep Part-Based Generative Shape Model with Latent Variables. - Alexander Kirillov; Mikhail Gavrikov; Ekaterina Lobacheva; Anton Osokin; Dmitry P. Vetrov (BMVC, 2016)

Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. - Alexander Kirillov; Alexander Shekhovtsov; Carsten Rother; Bogdan Savchynskyy (NIPS, 2016)

InstanceCut: From Edges to Instances with MultiCut. - Alexander Kirillov; Evgeny Levinkov; Bjoern Andres; Bogdan Savchynskyy; Carsten Rother (CVPR, 2017)

Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. - Evgeny Levinkov; Jonas Uhrig; Siyu Tang 001; Mohamed Omran; Eldar Insafutdinov; Alexander Kirillov; Carsten Rother; Thomas Brox; Bernt Schiele; Bjoern Andres (CVPR, 2017)

Global Hypothesis Generation for 6D Object Pose Estimation. - Frank Michel 002; Alexander Kirillov; Eric Brachmann; Alexander Krull; Stefan Gumhold; Bogdan Savchynskyy; Carsten Rother (CVPR, 2017)

A Comparative Study of Local Search Algorithms for Correlation Clustering. - Evgeny Levinkov; Alexander Kirillov; Bjoern Andres (GCPR, 2017)

Analyzing modular CNN architectures for joint depth prediction and semantic segmentation. - Omid Hosseini Jafari; Oliver Groth; Alexander Kirillov; Michael Ying Yang; Carsten Rother (ICRA, 2017)

Calculated attributes of synonym sets. - Andrew Krizhanovsky; Alexander Kirillov (CoRR, 2018)

WSD-algorithm based on new method of vector-word contexts proximity calculation via epsilon-filtration. - Alexander Kirillov; Natalia Krizhanovsky; Andrew Krizhanovsky (CoRR, 2018)

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. - Anurag Arnab; Shuai Zheng 001; Sadeep Jayasumana; Bernardino Romera-Paredes; Måns Larsson; Alexander Kirillov; Bogdan Savchynskyy; Carsten Rother; Fredrik Kahl; Philip H. S. Torr (IEEE Signal Process. Mag., 2018)

Exploring aspects of image segmentation: diversity, global reasoning, and panoptic formulation. - Alexander Kirillov (2018)

Panoptic Feature Pyramid Networks. - Alexander Kirillov; Ross B. Girshick; Kaiming He; Piotr Dollár (CVPR, 2019)

Panoptic Segmentation. - Alexander Kirillov; Kaiming He; Ross B. Girshick; Carsten Rother; Piotr Dollár (CVPR, 2019)

Exploring Randomly Wired Neural Networks for Image Recognition. - Saining Xie; Alexander Kirillov; Ross B. Girshick; Kaiming He (ICCV, 2019)

PointRend: Image Segmentation As Rendering. - Alexander Kirillov; Yuxin Wu; Kaiming He; Ross B. Girshick (CVPR, 2020)

End-to-End Object Detection with Transformers. - Nicolas Carion; Francisco Massa; Gabriel Synnaeve; Nicolas Usunier; Alexander Kirillov; Sergey Zagoruyko (ECCV (1), 2020)

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. - Bowen Cheng; Ross B. Girshick; Piotr Dollár; Alexander C. Berg; Alexander Kirillov (CVPR, 2021)

Per-Pixel Classification is Not All You Need for Semantic Segmentation. - Bowen Cheng; Alexander G. Schwing; Alexander Kirillov (NeurIPS, 2021)

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. - Eric Mintun; Alexander Kirillov; Saining Xie (NeurIPS, 2021)

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. - Achal Dave; Piotr Dollár; Deva Ramanan; Alexander Kirillov; Ross B. Girshick (CoRR, 2021)

Recognizing Scenes from Novel Viewpoints. - Shengyi Qian 001; Alexander Kirillov; Nikhila Ravi; Devendra Singh Chaplot; Justin Johnson 001; David F. Fouhey; Georgia Gkioxari (CoRR, 2021)

Mask2Former for Video Instance Segmentation. - Bowen Cheng; Anwesa Choudhuri; Ishan Misra; Alexander Kirillov; Rohit Girdhar; Alexander G. Schwing (CoRR, 2021)

Point-Level Region Contrast for Object Detection Pre-Training. - Yutong Bai; Xinlei Chen; Alexander Kirillov; Alan L. Yuille; Alexander C. Berg (CVPR, 2022)

Masked-attention Mask Transformer for Universal Image Segmentation. - Bowen Cheng; Ishan Misra; Alexander G. Schwing; Alexander Kirillov; Rohit Girdhar (CVPR, 2022)

Pointly-Supervised Instance Segmentation. - Bowen Cheng; Omkar Parkhi; Alexander Kirillov (CVPR, 2022)

TrackFormer: Multi-Object Tracking with Transformers. - Tim Meinhardt; Alexander Kirillov; Laura Leal-Taixé; Christoph Feichtenhofer (CVPR, 2022)

SLIP: Self-supervision Meets Language-Image Pre-training. - Norman Mu; Alexander Kirillov; David A. Wagner 001; Saining Xie (ECCV (26), 2022)

Segment Anything. - Alexander Kirillov; Eric Mintun; Nikhila Ravi; Hanzi Mao; Chloé Rolland; Laura Gustafson; Tete Xiao; Spencer Whitehead; Alexander C. Berg; Wan-Yen Lo; Piotr Dollár; Ross B. Girshick (ICCV, 2023)

R-MAE: Regions Meet Masked Autoencoders. - Duy-Kien Nguyen; Yanghao Li; Vaibhav Aggarwal; Martin R. Oswald; Alexander Kirillov; Cees G. M. Snoek; Xinlei Chen (ICLR, 2024)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)