BlitzNet: A Real-Time Deep Network for Scene Understanding. - Nikita Dvornik; Konstantin Shmelkov; Julien Mairal; Cordelia Schmid (ICCV, 2017)

Modeling Visual Context Is Key to Augmenting Object Detection Datasets. - Nikita Dvornik; Julien Mairal; Cordelia Schmid (ECCV (12), 2018)

Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. - Nikita Dvornik; Julien Mairal; Cordelia Schmid (ICCV, 2019)

Learning with Limited Annotated Data for Visual Understanding. (Apprentissage avec des données annotées limitées pour une compréhension visuelle). - Mikita Dvornik (2019)

Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. - Nikita Dvornik; Cordelia Schmid; Julien Mairal (ECCV (10), 2020)

Selecting Relevant Features from a Universal Representation for Few-shot Classification. - Nikita Dvornik; Cordelia Schmid; Julien Mairal (CoRR, 2020)

Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers. - Nikita Dvornik; Isma Hadji; Konstantinos G. Derpanis; Animesh Garg; Allan D. Jepson (NeurIPS, 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)

SAGE: Saliency-Guided Mixup with Optimal Rearrangements. - Avery Ma; Nikita Dvornik; Ran Zhang; Leila Pishdad; Konstantinos G. Derpanis; Afsaneh Fazly (BMVC, 2022)

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. - He Zhao 004; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CVPR, 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 (ECCV (35), 2022)

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. - He Zhao 004; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CoRR, 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)

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. - Anqi Joyce Yang; Sergio Casas 002; Nikita Dvornik; Sean Segal; Yuwen Xiong; Jordan Sir Kwang Hu; Carter Fang; Raquel Urtasun (CoRL, 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 (CVPR, 2023)

GePSAn: Generative Procedure Step Anticipation in Cooking Videos. - Mohamed Ashraf Abdelsalam; Samrudhdhi B. Rangrej; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Afsaneh Fazly (ICCV, 2023)

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. - Ziyi Wu; Nikita Dvornik; Klaus Greff; Thomas Kipf; Animesh Garg (ICLR, 2023)

Self-Supervised Learning of Action Affordances as Interaction Modes. - Liquan Wang; Nikita Dvornik; Rafael Dubeau; Mayank Mittal; Animesh Garg (ICRA, 2023)

DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse. - Boyue Caroline Hu; Lina Marsso; Nikita Dvornik; Huakun Shen; Marsha Chechik (ESEC/SIGSOFT FSE, 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)