978 citations · 7k across the 148 of their papers we have counts for
17 papers · 1 filter
Proposal Flow
Bumsub Ham, Minsu Cho, Cordelia Schmid +1
Finding image correspondences remains a challenging problem in the presence of intra-class variations and large changes in scene layout.~Semantic flow methods are designed to handl…
Approximate Fisher Kernels of non-iid Image Models for Image Categorization
Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
The bag-of-words (BoW) model treats images as sets of local descriptors and represents them by visual word histograms. The Fisher vector (FV) representation extends BoW, by conside…
Online Object Tracking with Proposal Selection
Yang Hua, Karteek Alahari, Cordelia Schmid
Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and…
Expanded Parts Model for Semantic Description of Humans in Still Images
Gaurav Sharma, Frederic Jurie, Cordelia Schmid
We introduce an Expanded Parts Model (EPM) for recognizing human attributes (e.g. young, short hair, wearing suit) and actions (e.g. running, jumping) in still images. An EPM is a…
Beat-Event Detection in Action Movie Franchises
Danila Potapov, Matthijs Douze, Jerome Revaud +2
While important advances were recently made towards temporally localizing and recognizing specific human actions or activities in videos, efficient detection and classification of…
DeepMatching: Hierarchical Deformable Dense Matching
Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui +1
We introduce a novel matching algorithm, called DeepMatching, to compute dense correspondences between images. DeepMatching relies on a hierarchical, multi-layer, correlational arc…