978 citations · 4.5k across the 70 of their papers we have counts for
8 papers · 1 filter
Tube-CNN: Modeling temporal evolution of appearance for object detection in video
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Object detection in video is crucial for many applications. Compared to images, video provides additional cues which can help to disambiguate the detection problem. Our goal in thi…
Detecting unseen visual relations using analogies
Julia Peyre, Ivan Laptev, Cordelia Schmid +1
We seek to detect visual relations in images of the form of triplets t = (subject, predicate, object), such as "person riding dog", where training examples of the individual entiti…
MobileFace: 3D Face Reconstruction with Efficient CNN Regression
Nikolai Chinaev, Alexander Chigorin, Ivan Laptev
Estimation of facial shapes plays a central role for face transfer and animation. Accurate 3D face reconstruction, however, often deploys iterative and costly methods preventing re…
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…
A flexible model for training action localization with varying levels of supervision
Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev +1
Spatio-temporal action detection in videos is typically addressed in a fully-supervised setup with manual annotation of training videos required at every frame. Since such annotati…