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ORCIDNikita Dvornik
Person information
- affiliation: University of Toronto, ON, Canada
- affiliation (PhD 2019): Grenoble Alpes University, France
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2020 – today
- 2023
[c14]Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL 2023: 3364-3383- [c13]Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson:
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos. CVPR 2023: 18952-18961 - [c12]Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly:
GePSAn: Generative Procedure Step Anticipation in Cooking Videos. ICCV 2023: 2976-2985 - [c11]Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg:
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. ICLR 2023 - [c10]Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg:
Self-Supervised Learning of Action Affordances as Interaction Modes. ICRA 2023: 7279-7286 - [c9]Boyue Caroline Hu
, Lina Marsso, Nikita Dvornik, Huakun Shen, Marsha Chechik:
DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse. ESEC/SIGSOFT FSE 2023: 541-552 - [i14]Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson:
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos. CoRR abs/2304.13265 (2023) - [i13]Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg:
Self-Supervised Learning of Action Affordances as Interaction Modes. CoRR abs/2305.17565 (2023) - [i12]Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly:
GePSAn: Generative Procedure Step Anticipation in Cooking Videos. CoRR abs/2310.08312 (2023) - [i11]Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun:
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRR abs/2311.01444 (2023) - 2022
- [c8]Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. BMVC 2022: 484 - [c7]He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson:
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. CVPR 2022: 2928-2938 - [c6]Nikita Dvornik, Isma Hadji, Hai X. Pham, Dhaivat Bhatt, Brais Martínez, Afsaneh Fazly, Allan D. Jepson:
Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization. ECCV (35) 2022: 319-335 - [i10]He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson:
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. CoRR abs/2205.02300 (2022) - [i9]Nikita Dvornik, Isma Hadji, Hai X. Pham, Dhaivat Bhatt, Brais Martínez, Afsaneh Fazly, Allan D. Jepson:
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization. CoRR abs/2210.04996 (2022) - [i8]Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg:
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. CoRR abs/2210.05861 (2022) - [i7]Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. CoRR abs/2211.00113 (2022) - 2021
- [j1]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2014-2028 (2021) - [c5]Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson:
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. NeurIPS 2021: 13782-13793 - [i6]Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson:
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. CoRR abs/2108.11996 (2021) - 2020
- [c4]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. ECCV (10) 2020: 769-786 - [i5]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Selecting Relevant Features from a Universal Representation for Few-shot Classification. CoRR abs/2003.09338 (2020)
2010 – 2019
- 2019
- [b1]Mikita Dvornik:
Learning with Limited Annotated Data for Visual Understanding. (Apprentissage avec des données annotées limitées pour une compréhension visuelle). Grenoble Alpes University, France, 2019 - [c3]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. ICCV 2019: 3722-3730 - [i4]Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. CoRR abs/1903.11341 (2019) - 2018
- [c2]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context Is Key to Augmenting Object Detection Datasets. ECCV (12) 2018: 375-391 - [i3]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context is Key to Augmenting Object Detection Datasets. CoRR abs/1807.07428 (2018) - [i2]Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. CoRR abs/1809.02492 (2018) - 2017
- [c1]Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid:
BlitzNet: A Real-Time Deep Network for Scene Understanding. ICCV 2017: 4174-4182 - [i1]Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid:
BlitzNet: A Real-Time Deep Network for Scene Understanding. CoRR abs/1708.02813 (2017)
Coauthor Index
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