194 citations · 1.1k across the 147 of their papers we have counts for
8 papers · 1 filter
Video Stream Retrieval of Unseen Queries using Semantic Memory
Spencer Cappallo, Thomas Mensink, Cees G. M. Snoek
Retrieval of live, user-broadcast video streams is an under-addressed and increasingly relevant challenge. The on-line nature of the problem requires temporal evaluation and the un…
Searching Scenes by Abstracting Things
Svetlana Kordumova, Jan C. van Gemert, Cees G. M. Snoek +1
In this paper we propose to represent a scene as an abstraction of 'things'. We start from 'things' as generated by modern object proposals, and we investigate their immediately ob…
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels
Mihir Jain, Jan van Gemert, Hervé Jégou +2
This paper considers the problem of localizing actions in videos as a sequences of bounding boxes. The objective is to generate action proposals that are likely to include the acti…
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li, Efstratios Gavves, Mihir Jain +1
We present a new architecture for end-to-end sequence learning of actions in video, we call VideoLSTM. Rather than adapting the video to the peculiarities of established recurrent…
Spot On: Action Localization from Pointly-Supervised Proposals
Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek
We strive for spatio-temporal localization of actions in videos. The state-of-the-art relies on action proposals at test time and selects the best one with a classifier trained on…
Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction
Jianfeng Dong, Xirong Li, Cees G. M. Snoek
This paper strives to find the sentence best describing the content of an image or video. Different from existing works, which rely on a joint subspace for image / video to sentenc…
Online Action Detection
Roeland De Geest, Efstratios Gavves, Amir Ghodrati +3
In online action detection, the goal is to detect the start of an action in a video stream as soon as it happens. For instance, if a child is chasing a ball, an autonomous car shou…
The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection
Pascal Mettes, Dennis C. Koelma, Cees G. M. Snoek
This paper strives for video event detection using a representation learned from deep convolutional neural networks. Different from the leading approaches, who all learn from the 1…