activity
20192026
most citedContextual Encoder-Decoder Network for Visual Saliency Prediction

228 citations · 231 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings

Allan Minh-Tam Nguyen, Sree Showrya Kotala, Stefan Banioi-Crijman +2

Recovering unmanned aerial vehicles (UAVs) in maritime environments is challenging due to wind turbulence and ship-deck motion, making it a valuable test case for alternative contr…

cs.AI2026

For How Long Should We Be Punching? Learning Action Duration in Fighting Games

Hoang Hai Nguyen, Kurt Driessens, Dennis J. N. J. Soemers

Fighting games such as Street Fighter II present unique challenges to reinforcement learning (RL) agents due to their fast-paced, real-time nature. In most RL frameworks, agents ar…

cs.CV2021★ 1 cited

Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks

Tonio Weidler, Julian Lehnen, Quinton Denman +4

Lateral connections play an important role for sensory processing in visual cortex by supporting discriminable neuronal responses even to highly similar features. In the present wo…

astro-ph.CO2021★ 2 cited

Searching for ring-like structures in the Cosmic Microwave Background

Melissa Lopez, Pietro Bonizzi, Kurt Driessens +3

In this research, we present an alternative methodology to search for ring-like structures in the sky with unusually large temperature gradients, namely Hawking points (HP), in the…

cs.CV2019★ 228 cited

Contextual Encoder-Decoder Network for Visual Saliency Prediction

Alexander Kroner, Mario Senden, Kurt Driessens +1

Predicting salient regions in natural images requires the detection of objects that are present in a scene. To develop robust representations for this challenging task, high-level…