Nikita Dvornik

32 papers A* 8A 1Misc 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection.
CoRR
Anqi Joyce Yang, James Tu, Nikita Dvornik, Enxu Li, Raquel Urtasun
2025 — conf
Ethical and Empathetic Requirements for Trustworthy ChatBots.
REW
Sophia Jit, Nikita Dvornik
2025 J jnl
Extreme Model Compression with Structured Sparsity at Low Precision.
CoRR
Dan Liu, Nikita Dvornik, Xue Liu
2023 — conf
DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse.
ESEC/SIGSOFT FSE
Boyue Caroline Hu, Lina Marsso, Nikita Dvornik, Huakun Shen, Marsha Chechik
2023 A* conf
GePSAn: Generative Procedure Step Anticipation in Cooking Videos.
ICCV
Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly
2023 J jnl
GePSAn: Generative Procedure Step Anticipation in Cooking Videos.
CoRR
Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly
2023 Misc conf
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.
CoRL
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
2023 J jnl
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.
CoRR
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
2023 A* conf
Self-Supervised Learning of Action Affordances as Interaction Modes.
ICRA
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
2023 J jnl
Self-Supervised Learning of Action Affordances as Interaction Modes.
CoRR
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
2023 A* conf
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.
ICLR
Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg
2023 A* conf
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos.
CVPR
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
2023 J jnl
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos.
CoRR
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson
2022 — conf
Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization.
ECCV (35)
Nikita Dvornik, Isma Hadji, Hai X. Pham, Dhaivat Bhatt, Brais Martínez, Afsaneh Fazly, Allan D. Jepson
2022 J jnl
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization.
CoRR
Nikita Dvornik, Isma Hadji, Hai X. Pham, Dhaivat Bhatt, Brais Martínez, Afsaneh Fazly, Allan D. Jepson
2022 A* conf
P
CVPR
He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
2022 J jnl
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision.
CoRR
He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
2022 A conf
SAGE: Saliency-Guided Mixup with Optimal Rearrangements.
BMVC
Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
2022 J jnl
SAGE: Saliency-Guided Mixup with Optimal Rearrangements.
CoRR
Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly
2022 J jnl
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.
CoRR
Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg
2021 A* conf
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers.
NeurIPS
Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
2021 J jnl
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers.
CoRR
Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
2021 J jnl
On the Importance of Visual Context for Data Augmentation in Scene Understanding.
IEEE Trans. Pattern Anal. Mach. Intell.
Nikita Dvornik, Julien Mairal, Cordelia Schmid
2020 — conf
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification.
ECCV (10)
Nikita Dvornik, Cordelia Schmid, Julien Mairal
2020 J jnl
Selecting Relevant Features from a Universal Representation for Few-shot Classification.
CoRR
Nikita Dvornik, Cordelia Schmid, Julien Mairal
2019 A* conf
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification.
ICCV
Nikita Dvornik, Julien Mairal, Cordelia Schmid
2019 J jnl
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification.
CoRR
Nikita Dvornik, Cordelia Schmid, Julien Mairal
2018 — conf
Modeling Visual Context Is Key to Augmenting Object Detection Datasets.
ECCV (12)
Nikita Dvornik, Julien Mairal, Cordelia Schmid
2018 J jnl
Modeling Visual Context is Key to Augmenting Object Detection Datasets.
CoRR
Nikita Dvornik, Julien Mairal, Cordelia Schmid
2018 J jnl
On the Importance of Visual Context for Data Augmentation in Scene Understanding.
CoRR
Nikita Dvornik, Julien Mairal, Cordelia Schmid
2017 A* conf
BlitzNet: A Real-Time Deep Network for Scene Understanding.
ICCV
Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid
2017 J jnl
BlitzNet: A Real-Time Deep Network for Scene Understanding.
CoRR
Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid