activity
20172026
most citedAdversarial Learning for Semi-Supervised Semantic Segmentation

373 citations · 709 across the 54 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 1 cited

Learning Binary Residual Representations for Domain-specific Video Streaming

Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun +2

We study domain-specific video streaming. Specifically, we target a streaming setting where the videos to be streamed from a server to a client are all in the same domain and they…

cs.CV2017★ 15 cited

Scene Parsing with Global Context Embedding

Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen +4

We present a scene parsing method that utilizes global context information based on both the parametric and non- parametric models. Compared to previous methods that only exploit t…

cs.CV2017★ 48 cited

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang +1

This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow has two…

cs.CV2017★ 19 cited

Learning to Segment Instances in Videos with Spatial Propagation Network

Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai +6

We propose a deep learning-based framework for instance-level object segmentation. Our method mainly consists of three steps. First, We train a generic model based on ResNet-101 fo…

cs.CV2017★ 19 cited

Deep Image Harmonization

Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin +3

Compositing is one of the most common operations in photo editing. To generate realistic composites, the appearances of foreground and background need to be adjusted to make them c…