activity
20162025
most citedVideoLSTM Convolves, Attends and Flows for Action Recognition

64 citations · 204 across the 20 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CV2018

Timeception for Complex Action Recognition

Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders

This paper focuses on the temporal aspect for recognizing human activities in videos; an important visual cue that has long been undervalued. We revisit the conventional definition…

cs.LG2018

Relaxed Quantization for Discretized Neural Networks

Christos Louizos, Matthias Reisser, Tijmen Blankevoort +2

Neural network quantization has become an important research area due to its great impact on deployment of large models on resource constrained devices. In order to train networks…

cs.CV2018

Dynamic Adaptation on Non-Stationary Visual Domains

Sindi Shkodrani, Michael Hofmann, Efstratios Gavves

Domain adaptation aims to learn models on a supervised source domain that perform well on an unsupervised target. Prior work has examined domain adaptation in the context of statio…

cs.CV2018

Video Time: Properties, Encoders and Evaluation

Amir Ghodrati, Efstratios Gavves, Cees G. M. Snoek

Time-aware encoding of frame sequences in a video is a fundamental problem in video understanding. While many attempted to model time in videos, an explicit study on quantifying vi…

stat.ML2018

BOCK : Bayesian Optimization with Cylindrical Kernels

ChangYong Oh, Efstratios Gavves, Max Welling

A major challenge in Bayesian Optimization is the boundary issue (Swersky, 2017) where an algorithm spends too many evaluations near the boundary of its search space. In this paper…

cs.CV2018

Long-term Tracking in the Wild: A Benchmark

Jack Valmadre, Luca Bertinetto, João F. Henriques +5

We introduce the OxUvA dataset and benchmark for evaluating single-object tracking algorithms. Benchmarks have enabled great strides in the field of object tracking by defining sta…