Cordelia Schmid

Actor-Centric Relation Network

Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid

Comments ECCV 2018 camera ready

How good is my GAN?

Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari

Comments Accepted to ECCV2018

Modeling Visual Context is Key to Augmenting Object Detection Datasets

Nikita Dvornik, Julien Mairal, Cordelia Schmid

Journal ref ECCV2018, Sep 2018, Munich, Germany. 2018

Modeling Spatio-Temporal Human Track Structure for Action Localization

Guilhem Chéron, Anton Osokin, Ivan Laptev, Cordelia Schmid

Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos

Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik

Comments To appear in CVPR 2018. Check dataset page https://research.google.com/ava/ for details

Actor and Observer: Joint Modeling of First and Third-Person Videos

Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari

Comments CVPR 2018 spotlight presentation

Journal ref CVPR 2018

Image-based Synthesis for Deep 3D Human Pose Estimation

Grégory Rogez, Cordelia Schmid

Comments accepted to appear in IJCV (with minor revisions). Follow-up to NIPS 2016 arXiv:1607.02046

Learning from Synthetic Humans

Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid

Comments Appears in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). 9 pages

Learning to Segment Moving Objects

Pavel Tokmakov, Cordelia Schmid, Karteek Alahari

Comments arXiv admin note: text overlap with arXiv:1704.05737, arXiv:1612.07217

Areas of Attention for Image Captioning

Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek

Comments Accepted in ICCV 2017

Incremental Learning of Object Detectors without Catastrophic Forgetting

Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari

Comments To appear in ICCV 2017

Action Tubelet Detector for Spatio-Temporal Action Localization

Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid

Comments 9 pages

SCNet: Learning Semantic Correspondence

Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce

Comments ICCV 2017

BlitzNet: A Real-Time Deep Network for Scene Understanding

Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid

Weakly-supervised learning of visual relations

Julia Peyre, Ivan Laptev, Cordelia Schmid, Josef Sivic

Detecting Parts for Action Localization

Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid

Comments BMVC 2017

Learning Video Object Segmentation with Visual Memory

Pavel Tokmakov, Karteek Alahari, Cordelia Schmid

Long-term Temporal Convolutions for Action Recognition

Gül Varol, Ivan Laptev, Cordelia Schmid

Human Action Localization with Sparse Spatial Supervision

Philippe Weinzaepfel, Xavier Martin, Cordelia Schmid

SfM-Net: Learning of Structure and Motion from Video

Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki

Weakly-Supervised Semantic Segmentation using Motion Cues

Pavel Tokmakov, Karteek Alahari, Cordelia Schmid

Comments Extended version of our ECCV 2016 paper

Learning Motion Patterns in Videos

Pavel Tokmakov, Karteek Alahari, Cordelia Schmid

Proposal Flow: Semantic Correspondences from Object Proposals

Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce

Comments arXiv admin note: text overlap with arXiv:1511.05065

Expanded Parts Model for Semantic Description of Humans in Still Images

Gaurav Sharma, Frederic Jurie, Cordelia Schmid

Comments Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild

Grégory Rogez, Cordelia Schmid

Comments 9 pages, accepted to appear in NIPS 2016

Label-Embedding for Image Classification

Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid

Comments IEEE TPAMI preprint

High-Dimensional Data Clustering

Charles Bouveyron, Stéphane Girard, Cordelia Schmid

Journal ref Computational Statistics and Data Analysis 52, 1 (2007) 502-519

Proposal Flow

Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce

Approximate Fisher Kernels of non-iid Image Models for Image Categorization

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

Comments IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2015

Journal ref IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 38, no. 6, pp. 1084-1098, June 1 2016