9 citations · 23 across the 4 of their papers we have counts for
4 papers
Band-limited Soft Actor Critic Model
Miguel Campo, Zhengxing Chen, Luke Kung +2
Soft Actor Critic (SAC) algorithms show remarkable performance in complex simulated environments. A key element of SAC networks is entropy regularization, which prevents the SAC ac…
Convolutional Collaborative Filter Network for Video Based Recommendation Systems
Cheng-Kang Hsieh, Miguel Campo, Abhinav Taliyan +3
This analysis explores the temporal sequencing of objects in a movie trailer. Temporal sequencing of objects in a movie trailer (e.g., a long shot of an object vs intermittent shor…
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation
Miguel Campo, Cheng-Kang Hsieh, Matt Nickens +5
Audience discovery is an important activity at major movie studios. Deep models that use convolutional networks to extract frame-by-frame features of a movie trailer and represent…
Collaborative Metric Learning Recommendation System: Application to Theatrical Movie Releases
Miguel Campo, JJ Espinoza, Julie Rieger +1
Product recommendation systems are important for major movie studios during the movie greenlight process and as part of machine learning personalization pipelines. Collaborative Fi…