Alexander Kirillov

52 papers A* 18A 1Journal 26Unranked 6

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