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20162025
most citedLearning Linear Transformations for Fast Arbitrary Style Transfer

95 citations · 702 across the 43 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 65 cited

Context-Aware Synthesis and Placement of Object Instances

Donghoon Lee, Sifei Liu, Jinwei Gu +3

Learning to insert an object instance into an image in a semantically coherent manner is a challenging and interesting problem. Solving it requires (a) determining a location to pl…

cs.CV2018★ 95 cited

Learning Linear Transformations for Fast Arbitrary Style Transfer

Xueting Li, Sifei Liu, Jan Kautz +1

Given a random pair of images, an arbitrary style transfer method extracts the feel from the reference image to synthesize an output based on the look of the other content image. R…

cs.CV2018★ 25 cited

Learning Dual Convolutional Neural Networks for Low-Level Vision

Jinshan Pan, Sifei Liu, Deqing Sun +8

In this paper, we propose a general dual convolutional neural network (DualCNN) for low-level vision problems, e.g., super-resolution, edge-preserving filtering, deraining and deha…

cs.CV2018★ 4 cited

Switchable Temporal Propagation Network

Sifei Liu, Guangyu Zhong, Shalini De Mello +4

Videos contain highly redundant information between frames. Such redundancy has been extensively studied in video compression and encoding, but is less explored for more advanced v…

cs.CV2018★ 3 cited

Learning Video-Story Composition via Recurrent Neural Network

Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu +2

In this paper, we propose a learning-based method to compose a video-story from a group of video clips that describe an activity or experience. We learn the coherence between video…