926 citations · 2.2k across the 54 of their papers we have counts for
9 papers · 1 filter
End-to-end weakly-supervised semantic alignment
Ignacio Rocco, Relja Arandjelović, Josef Sivic
We tackle the task of semantic alignment where the goal is to compute dense semantic correspondence aligning two images depicting objects of the same category. This is a challengin…
Localizing Moments in Video with Natural Language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman +3
We consider retrieving a specific temporal segment, or moment, from a video given a natural language text description. Methods designed to retrieve whole video clips with natural l…
Weakly-supervised learning of visual relations
Julia Peyre, Ivan Laptev, Cordelia Schmid +1
This paper introduces a novel approach for modeling visual relations between pairs of objects. We call relation a triplet of the form (subject, predicate, object) where the predica…
Learning from Video and Text via Large-Scale Discriminative Clustering
Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski +2
Discriminative clustering has been successfully applied to a number of weakly-supervised learning tasks. Such applications include person and action recognition, text-to-video alig…
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
Torsten Sattler, Will Maddern, Carl Toft +9
Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical visual localization a…
Learnable pooling with Context Gating for video classification
Antoine Miech, Ivan Laptev, Josef Sivic
Current methods for video analysis often extract frame-level features using pre-trained convolutional neural networks (CNNs). Such features are then aggregated over time e.g., by s…
Convolutional neural network architecture for geometric matching
Ignacio Rocco, Relja Arandjelović, Josef Sivic
We address the problem of determining correspondences between two images in agreement with a geometric model such as an affine or thin-plate spline transformation, and estimating i…
ActionVLAD: Learning spatio-temporal aggregation for action classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta +2
In this work, we introduce a new video representation for action classification that aggregates local convolutional features across the entire spatio-temporal extent of the video.…
Joint Discovery of Object States and Manipulation Actions
Jean-Baptiste Alayrac, Josev Sivic, Ivan Laptev +1
Many human activities involve object manipulations aiming to modify the object state. Examples of common state changes include full/empty bottle, open/closed door, and attached/det…