Qiqi Hou

Orcid: 0009-0009-3472-6401

According to our database1, Qiqi Hou authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Auxiliary Features-Guided Super Resolution for Monte Carlo Rendering.
Comput. Graph. Forum, February, 2024

Low-Latency Neural Stereo Streaming.
CoRR, 2024

2022
A Perceptual Quality Metric for Video Frame Interpolation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Automatic Portrait Video Matting via Context Motion Network.
CoRR, 2021

Fast Monte Carlo Rendering via Multi-Resolution Sampling.
CoRR, 2021

2019
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification.
IEEE Trans. Multim., 2018

Deep ranking model by large adaptive margin learning for person re-identification.
Pattern Recognit., 2018

Face alignment recurrent network.
Pattern Recognit., 2018

2017
Part-aware trajectories association across non-overlapping uncalibrated cameras.
Neurocomputing, 2017

Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification.
CoRR, 2017

2016
Deep Ranking Model for Person Re-identification with Pairwise Similarity Comparison.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Facial Animation Based on 2D Shape Regression.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2015
Robust Deep Auto-encoder for Occluded Face Recognition.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Facial landmark detection via cascade multi-channel convolutional neural network.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Model of Human Visual Cortex Inspired Computational Models for Visual Recognition.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015


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