Cordelia Schmid

Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

Comments To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

Mattis Paulin, Julien Mairal, Matthijs Douze, Zaid Harchaoui, Florent Perronnin, Cordelia Schmid

Analysing domain shift factors between videos and images for object detection

Vicky Kalogeiton, Vittorio Ferrari, Cordelia Schmid

Comments 8 pages

Weakly-Supervised Alignment of Video With Text

Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid

Comments ICCV 2015 - IEEE International Conference on Computer Vision, Dec 2015, Santiago, Chile

Circulant temporal encoding for video retrieval and temporal alignment

Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid

DeepMatching: Hierarchical Deformable Dense Matching

Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid

Online Object Tracking with Proposal Selection

Yang Hua, Karteek Alahari, Cordelia Schmid

Comments ICCV 2015

Learning to track for spatio-temporal action localization

Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid

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

Guilhem Chéron, Ivan Laptev, Cordelia Schmid

Comments ICCV, December 2015, Santiago, Chile

Beat-Event Detection in Action Movie Franchises

Danila Potapov, Matthijs Douze, Jerome Revaud, Zaid Harchaoui, Cordelia Schmid

EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow

Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid

Unsupervised Object Discovery and Tracking in Video Collections

Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid

Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals

Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce

Comments CVPR 2015

A robust and efficient video representation for action recognition

Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid

Convolutional Kernel Networks

Julien Mairal, Piotr Koniusz, Zaid Harchaoui, Cordelia Schmid

Comments appears in Advances in Neural Information Processing Systems (NIPS), Dec 2014, Montreal, Canada, http://nips.cc

Weakly Supervised Action Labeling in Videos Under Ordering Constraints

Piotr Bojanowski, Rémi Lajugie, Francis Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic

Comments 17 pages, completed version of a ECCV2014 conference paper