628 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École Normale Supérieure - PSLFR8 papers
- Institut national de recherche en sciences et technologies du numériqueFR8 papers
- Département d'InformatiqueFR6 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Czech Technical University in PragueCZ3 papers
- Georgia Institute of TechnologyUS2 papers
- Laboratoire Jean KuntzmannFR2 papers
- New York UniversityUS2 papers
- THOTH: Apprentissage de modèles visuels à partir de données massivesFR2 papers
- Université Paris Sciences et LettresFR2 papers
- Boston UniversityUS1 paper
- CentraleSupélecFR1 paper
10 papers · 1 filter
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
This paper presents WALDO (WArping Layer-Decomposed Objects), a novel approach to the prediction of future video frames from past ones. Individual images are decomposed into multip…
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes, Jean Ponce, Yann LeCun
Recent self-supervised methods for image representation learning are based on maximizing the agreement between embedding vectors from different views of the same image. A trivial s…
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović +3
We address the problem of finding reliable dense correspondences between a pair of images. This is a challenging task due to strong appearance differences between the corresponding…
Compressing the Input for CNNs with the First-Order Scattering Transform
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko +1
We study the first-order scattering transform as a candidate for reducing the signal processed by a convolutional neural network (CNN). We show theoretical and empirical evidence t…
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac +2
Automatic generation of textual video descriptions that are time-aligned with video content is a long-standing goal in computer vision. The task is challenging due to the difficult…
Modeling Spatio-Temporal Human Track Structure for Action Localization
Guilhem Chéron, Anton Osokin, Ivan Laptev +1
This paper addresses spatio-temporal localization of human actions in video. In order to localize actions in time, we propose a recurrent localization network (RecLNet) designed to…
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang +4
Automatically recognizing and localizing wide ranges of human actions has crucial importance for video understanding. Towards this goal, the THUMOS challenge was introduced in 2013…
Long-term Temporal Convolutions for Action Recognition
Gül Varol, Ivan Laptev, Cordelia Schmid
Typical human actions last several seconds and exhibit characteristic spatio-temporal structure. Recent methods attempt to capture this structure and learn action representations w…
Proposal Flow
Bumsub Ham, Minsu Cho, Cordelia Schmid +1
Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout.~Semantic flow methods are designed to handl…
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting
Junchi Yan, Minsu Cho, Hongyuan Zha +2
This paper addresses the problem of matching weighted graphs referring to an identical object or category. More specifically, matching the common node correspondences among gra…