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6 papers · 1 filter
A Neural Transition-based Model for Nested Mention Recognition
Bailin Wang, Wei Lu, Yu Wang +1
It is common that entity mentions can contain other mentions recursively. This paper introduces a scalable transition-based method to model the nested structure of mentions. We fir…
Physical Adversarial Examples for Object Detectors
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
Deep neural networks (DNNs) are vulnerable to adversarial examples-maliciously crafted inputs that cause DNNs to make incorrect predictions. Recent work has shown that these attack…
Ad-Net: Audio-Visual Convolutional Neural Network for Advertisement Detection In Videos
Shervin Minaee, Imed Bouazizi, Prakash Kolan +1
Personalized advertisement is a crucial task for many of the online businesses and video broadcasters. Many of today's broadcasters use the same commercial for all customers, but a…
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart +3
Humans are able to understand and perform complex tasks by strategically structuring the tasks into incremental steps or subgoals. For a robot attempting to learn to perform a sequ…
Talking Face Generation by Conditional Recurrent Adversarial Network
Yang Song, Jingwen Zhu, Dawei Li +2
Given an arbitrary face image and an arbitrary speech clip, the proposed work attempts to generating the talking face video with accurate lip synchronization while maintaining smoo…
Massive Multiple Input Massive Multiple Output for 5G Wireless Backhauling
Dinh-Thuy Phan-Huy, Philippe Ratajczak, Raffaele D'Errico +10
In this paper, we propose a new technique for the future fifth generation cellular network wireless backhauling. We show that hundreds of bits per second per Hertz (bits per second…