Nikita Dvornik

According to our database, Nikita Dvornik authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos.

Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson

CoRR, 2023

DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse.

Boyue Caroline Hu, Lina Marsso, Nikita Dvornik, Huakun Shen, Marsha Chechik

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Self-Supervised Learning of Action Affordances as Interaction Modes.

Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.

Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GePSAn: Generative Procedure Step Anticipation in Cooking Videos.

Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos.

Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.

Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

2022

Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization.

Nikita Dvornik, Isma Hadji, Hai X. Pham, Dhaivat Bhatt, Brais Martínez, Afsaneh Fazly, Allan D. Jepson

CoRR, 2022

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision.

He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson

CoRR, 2022

Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization.

Nikita Dvornik, Isma Hadji, Hai X. Pham, Dhaivat Bhatt, Brais Martínez, Afsaneh Fazly, Allan D. Jepson

Proceedings of the Computer Vision - ECCV 2022, 2022

P³IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision.

He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SAGE: Saliency-Guided Mixup with Optimal Rearrangements.

Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

On the Importance of Visual Context for Data Augmentation in Scene Understanding.

Nikita Dvornik, Julien Mairal, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers.

Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Selecting Relevant Features from a Universal Representation for Few-shot Classification.

Nikita Dvornik, Cordelia Schmid, Julien Mairal

CoRR, 2020

Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification.

Nikita Dvornik, Cordelia Schmid, Julien Mairal

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning with Limited Annotated Data for Visual Understanding. (Apprentissage avec des données annotées limitées pour une compréhension visuelle).

Mikita Dvornik

PhD thesis, 2019

Diversity With Cooperation: Ensemble Methods for Few-Shot Classification.

Nikita Dvornik, Julien Mairal, Cordelia Schmid

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Modeling Visual Context Is Key to Augmenting Object Detection Datasets.

Nikita Dvornik, Julien Mairal, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

BlitzNet: A Real-Time Deep Network for Scene Understanding.

Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid

Proceedings of the IEEE International Conference on Computer Vision, 2017