NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (29)

cs.CV2015

Context-aware CNNs for person head detection

Tuan-Hung Vu, Anton Osokin, Ivan Laptev

cs.CV2015

On Pairwise Costs for Network Flow Multi-Object Tracking

Visesh Chari, Simon Lacoste-Julien, Ivan Laptev +1

cs.CV2015

P-CNN: Pose-based CNN Features for Action Recognition

Guilhem Chéron, Ivan Laptev, Cordelia Schmid

cs.CV2017

Joint Discovery of Object States and Manipulation Actions

Jean-Baptiste Alayrac, Josev Sivic, Ivan Laptev +1

cs.CV2016

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

Vadim Kantorov, Maxime Oquab, Minsu Cho +1

cs.CV2016

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang +3

cs.CV2019

Learning joint reconstruction of hands and manipulated objects

Yana Hasson, Gül Varol, Dimitrios Tzionas +4

cs.LG2019

Learning to Augment Synthetic Images for Sim2Real Policy Transfer

Alexander Pashevich, Robin Strudel, Igor Kalevatykh +2

cs.CV2016

Unsupervised Learning from Narrated Instruction Videos

Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal +3

cs.CV2016

The THUMOS Challenge on Action Recognition for Videos "in the Wild"

Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang +4

cs.CV2019

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac +3

cs.CV2019

Cross-task weakly supervised learning from instructional videos

Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis +3

cs.CV2018

Tube-CNN: Modeling temporal evolution of appearance for object detection in video

Tuan-Hung Vu, Anton Osokin, Ivan Laptev

cs.CV2018

Learnable pooling with Context Gating for video classification

Antoine Miech, Ivan Laptev, Josef Sivic

cs.CV2014

Weakly Supervised Action Labeling in Videos Under Ordering Constraints

Piotr Bojanowski, Rémi Lajugie, Francis Bach +4

cs.CV2017

Long-term Temporal Convolutions for Action Recognition

Gül Varol, Ivan Laptev, Cordelia Schmid

cs.CV2017

Weakly-supervised learning of visual relations

Julia Peyre, Ivan Laptev, Cordelia Schmid +1

cs.CV2015

Unsupervised Object Discovery and Tracking in Video Collections

Suha Kwak, Minsu Cho, Ivan Laptev +2

cs.CV2018

Learning from Synthetic Humans

Gül Varol, Javier Romero, Xavier Martin +4

cs.CV2019

Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video

Zongmian Li, Jiri Sedlar, Justin Carpentier +3

cs.CV2018

Learning to Localize and Align Fine-Grained Actions to Sparse Instructions

Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac +2

cs.CV2018

Modeling Spatio-Temporal Human Track Structure for Action Localization

Guilhem Chéron, Anton Osokin, Ivan Laptev +1

cs.CV2018

MobileFace: 3D Face Reconstruction with Efficient CNN Regression

Nikolai Chinaev, Alexander Chigorin, Ivan Laptev

cs.CV2019

Deep Metric Learning Beyond Binary Supervision

Sungyeon Kim, Minkyo Seo, Ivan Laptev +2

cs.CV2018

BodyNet: Volumetric Inference of 3D Human Body Shapes

Gül Varol, Duygu Ceylan, Bryan Russell +4

cs.CV2015

Weakly-Supervised Alignment of Video With Text

Piotr Bojanowski, Rémi Lajugie, Edouard Grave +4

cs.HC2016

Much Ado About Time: Exhaustive Annotation of Temporal Data

Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi +2

cs.CV2017

Learning from Video and Text via Large-Scale Discriminative Clustering

Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski +2

cs.CV2018

A flexible model for training action localization with varying levels of supervision

Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev +1