Alexander Kirillov

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 48

Top Venues

University of Heidelberg, Germany (PHD)

Education History

University of Heidelberg, Germany

PHD

Publications

Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen
R-MAE: Regions Meet Masked Autoencoders. ICLR (2024)
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
Segment Anything. CoRR (2023)
Duy-Kien Nguyen, Vaibhav Aggarwal, Yanghao Li, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen
R-MAE: Regions Meet Masked Autoencoders. CoRR (2023)
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
Segment Anything. ICCV (2023)
Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg
Point-Level Region Contrast for Object Detection Pre-Training. CVPR (2022)
Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg
Point-Level Region Contrast for Object Detection Pre-Training. CoRR (2022)
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
Pointly-Supervised Instance Segmentation. CVPR (2022)
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR (2022)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) (2022)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CVPR (2022)
Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR (2021)
Eric Mintun, Alexander Kirillov, Saining Xie
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. CoRR (2021)
Eric Mintun, Alexander Kirillov, Saining Xie
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. NeurIPS (2021)
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
Pointly-Supervised Instance Segmentation. CoRR (2021)
Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR (2021)
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
Per-Pixel Classification is Not All You Need for Semantic Segmentation. CoRR (2021)
Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR (2021)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CoRR (2021)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision meets Language-Image Pre-training. CoRR (2021)
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing
Mask2Former for Video Instance Segmentation. CoRR (2021)
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR (2021)
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
Per-Pixel Classification is Not All You Need for Semantic Segmentation. NeurIPS (2021)
Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari
Recognizing Scenes from Novel Viewpoints. CoRR (2021)
Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
PointRend: Image Segmentation As Rendering. CVPR (2020)
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
End-to-End Object Detection with Transformers. CoRR (2020)
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
End-to-End Object Detection with Transformers. ECCV (1) (2020)
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
Exploring Randomly Wired Neural Networks for Image Recognition. ICCV (2019)
Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He
Exploring Randomly Wired Neural Networks for Image Recognition. CoRR (2019)
Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick
PointRend: Image Segmentation as Rendering. CoRR (2019)
Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
Panoptic Feature Pyramid Networks. CoRR (2019)
Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár
Panoptic Feature Pyramid Networks. CVPR (2019)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CVPR (2019)
Alexander Kirillov, Natalia Krizhanovsky, Andrew Krizhanovsky
WSD-algorithm based on new method of vector-word contexts proximity calculation via epsilon-filtration. CoRR (2018)
Andrew Krizhanovsky, Alexander Kirillov
Calculated attributes of synonym sets. CoRR (2018)
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35 (1) (2018)
Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár
Panoptic Segmentation. CoRR (2018)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR (2017)
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
InstanceCut: From Edges to Instances with MultiCut. CVPR (2017)
Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother
Analyzing modular CNN architectures for joint depth prediction and semantic segmentation. ICRA (2017)
Evgeny Levinkov, Alexander Kirillov, Bjoern Andres
A Comparative Study of Local Search Algorithms for Correlation Clustering. GCPR (2017)
Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications. CVPR (2017)
Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation. CoRR (2017)
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS (2016)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR (2016)
Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng, Bogdan Savchynskyy, Philip H. S. Torr, Carsten Rother
Joint Training of Generic CNN-CRF Models with Stochastic Optimization. ACCV (2) (2016)
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
InstanceCut: from Edges to Instances with MultiCut. CoRR (2016)
Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov
Deep Part-Based Generative Shape Model with Latent Variables. BMVC (2016)
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR (2016)
Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother
Inferring M-Best Diverse Labelings in a Single One. ICCV (2015)
Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip H. S. Torr, Carsten Rother
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. CoRR (2015)
Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy
M-Best-Diverse Labelings for Submodular Energies and Beyond. NIPS (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Kirillov