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2020 – today
- 2024
[c25]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- 2023
- [c24]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: 3992-4003 - [i25]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 abs/2304.02643 (2023) - [i24]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 abs/2306.05411 (2023) - 2022
- [c23]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR 2022: 1280-1289 - [c22]Bowen Cheng, Omkar Parkhi, Alexander Kirillov:
Pointly-Supervised Instance Segmentation. CVPR 2022: 2607-2616 - [c21]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CVPR 2022: 8834-8844 - [c20]Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg:
Point-Level Region Contrast for Object Detection Pre-Training. CVPR 2022: 16040-16049 - [c19]Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) 2022: 529-544 - [i23]Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg:
Point-Level Region Contrast for Object Detection Pre-Training. CoRR abs/2202.04639 (2022) - 2021
- [c18]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR 2021: 15334-15342 - [c17]Eric Mintun, Alexander Kirillov, Saining Xie:
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. NeurIPS 2021: 3571-3583 - [c16]Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. NeurIPS 2021: 17864-17875 - [i22]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CoRR abs/2101.02702 (2021) - [i21]Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. CoRR abs/2102.01066 (2021) - [i20]Eric Mintun, Alexander Kirillov, Saining Xie:
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. CoRR abs/2102.11273 (2021) - [i19]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR abs/2103.16562 (2021) - [i18]Bowen Cheng, Omkar Parkhi, Alexander Kirillov:
Pointly-Supervised Instance Segmentation. CoRR abs/2104.06404 (2021) - [i17]Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. CoRR abs/2107.06278 (2021) - [i16]Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari:
Recognizing Scenes from Novel Viewpoints. CoRR abs/2112.01520 (2021) - [i15]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR abs/2112.01527 (2021) - [i14]Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing:
Mask2Former for Video Instance Segmentation. CoRR abs/2112.10764 (2021) - [i13]Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision meets Language-Image Pre-training. CoRR abs/2112.12750 (2021) - 2020
- [c15]Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick:
PointRend: Image Segmentation As Rendering. CVPR 2020: 9796-9805 - [c14]Nicolas Carion
, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. ECCV (1) 2020: 213-229 - [i12]Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. CoRR abs/2005.12872 (2020)
2010 – 2019
- 2019
- [c13]Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. CVPR 2019: 6399-6408 - [c12]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CVPR 2019: 9404-9413 - [c11]Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. ICCV 2019: 1284-1293 - [i11]Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. CoRR abs/1901.02446 (2019) - [i10]Saining Xie, Alexander Kirillov, Ross B. Girshick, Kaiming He:
Exploring Randomly Wired Neural Networks for Image Recognition. CoRR abs/1904.01569 (2019) - [i9]Alexander Kirillov, Yuxin Wu, Kaiming He, Ross B. Girshick:
PointRend: Image Segmentation as Rendering. CoRR abs/1912.08193 (2019) - 2018
- [b1]Alexander Kirillov:
Exploring aspects of image segmentation: diversity, global reasoning, and panoptic formulation. University of Heidelberg, Germany, 2018, pp. 1-107 - [j1]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): 37-52 (2018) - [i8]Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. CoRR abs/1801.00868 (2018) - [i7]Andrew Krizhanovsky, Alexander Kirillov:
Calculated attributes of synonym sets. CoRR abs/1803.01580 (2018) - [i6]Alexander Kirillov, Natalia Krizhanovsky, Andrew Krizhanovsky:
WSD-algorithm based on new method of vector-word contexts proximity calculation via epsilon-filtration. CoRR abs/1805.09559 (2018) - 2017
- [c10]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR 2017: 115-124 - [c9]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: 1904-1912 - [c8]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: From Edges to Instances with MultiCut. CVPR 2017: 7322-7331 - [c7]Evgeny Levinkov, Alexander Kirillov, Bjoern Andres:
A Comparative Study of Local Search Algorithms for Correlation Clustering. GCPR 2017: 103-114 - [c6]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: 4620-4627 - [i5]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation. CoRR abs/1702.08009 (2017) - 2016
- [c5]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: 221-236 - [c4]Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov:
Deep Part-Based Generative Shape Model with Latent Variables. BMVC 2016 - [c3]Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS 2016: 334-342 - [i4]Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy:
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR abs/1606.07015 (2016) - [i3]Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother:
InstanceCut: from Edges to Instances with MultiCut. CoRR abs/1611.08272 (2016) - [i2]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR abs/1612.02287 (2016) - 2015
- [c2]Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother:
Inferring M-Best Diverse Labelings in a Single One. ICCV 2015: 1814-1822 - [c1]Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy:
M-Best-Diverse Labelings for Submodular Energies and Beyond. NIPS 2015: 613-621 - [i1]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 abs/1511.05067 (2015)
Coauthor Index
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last updated on 2024-09-21 23:39 CEST by the dblp team
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