output
20122026
most citedLearning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

5 papers · 1 filter

eess.SY2018★ 14 cited

Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study

Ziran Wang, BaekGyu Kim, Hiromitsu Kobayashi +2

Agent-based modeling and simulation (ABMS) has been a popular approach to modeling autonomous and interacting agents in a multi-agent system. Specifically, ABMS can be applied to c…

cs.CV2018★ 26 cited

SPIGAN: Privileged Adversarial Learning from Simulation

Kuan-Hui Lee, German Ros, Jie Li +1

Deep Learning for Computer Vision depends mainly on the source of supervision.Photo-realistic simulators can generate large-scale automatically labeled syntheticdata, but introduce…

cs.CV2018★ 7 cited

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

Adrià Recasens, Petr Kellnhofer, Simon Stent +2

We introduce a saliency-based distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task. Our differentiable layer…

cs.LO2018

Delta-Decision Procedures for Exists-Forall Problems over the Reals

Soonho Kong, Armando Solar-Lezama, Sicun Gao

Solving nonlinear SMT problems over real numbers has wide applications in robotics and AI. While significant progress is made in solving quantifier-free SMT formulas in the domain,…

cs.CV2018★ 1 cited

Deep-Temporal LSTM for Daily Living Action Recognition

Srijan Das, Michal Koperski, Francois Bremond +1

In this paper, we propose to improve the traditional use of RNNs by employing a many to many model for video classification. We analyze the importance of modeling spatial layout an…