2.2k citations · 10.8k across the 93 of their papers we have counts for
4 papers · 1 filter
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong, Junhyuk Oh, Bohyung Han +1
We propose a novel weakly-supervised semantic segmentation algorithm based on Deep Convolutional Neural Network (DCNN). Contrary to existing weakly-supervised approaches, our algor…
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan, Jimei Yang, Kihyuk Sohn +1
This paper investigates a novel problem of generating images from visual attributes. We model the image as a composite of foreground and background and develop a layered generative…
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee +2
Motivated by vision-based reinforcement learning (RL) problems, in particular Atari games from the recent benchmark Aracade Learning Environment (ALE), we consider spatio-temporal…
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Yuting Zhang, Kihyuk Sohn, Ruben Villegas +2
Object detection systems based on the deep convolutional neural network (CNN) have recently made ground- breaking advances on several object detection benchmarks. While the feature…