Applied Scientist, Amazon AWS
2020.2 - present
Rekognition Group, Seattle
- Worked on Spatial Temporal Action Recognition and Detection.
- Working on Movie Scene Detection.
Greetings. My name is Chunhui Liu and I am an applied scientist from Amazon AWS Rekognition Team. I am working on understanding visual concepts in video domain. That contains action/activity understanding, movie/story understanding. I obtained my Master degree in Computer Vision from Carnegie Mellon University. Before that, I obtained my Bachelor degree from Peking University in China.
2020.2 - present
Rekognition Group, Seattle
2019.2 - 2019.7
Human-Computer Interaction Institute
2018.9 - present
Master of Science in Computer Vision
2016.2 - 2018.7
Wangxuan Institute of Computer Technology
2014.9 - 2018.7
Bachelor of Science in Computer Science, Summa Cum Laude
(1) Action, Actor, and an uniform way to understand. 2019-present | |
NUTA: Non-uniform Temporal Aggregation for Action Recognition. |
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A Comprehensive Study of Deep Video Action Recognition
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Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset
. Proceedings of the 28th ACM International Conference on Multimedia, 4625-4629 |
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(2) An interesting side-project on interpreting auto encoders. 2017 | |
Patch Correspondences for Interpreting Pixel-level CNNs Arxiv preprint 1711.10683. PDF | |
(3) Understanding Human Actions In Skeleton Domain 2016-2018 | |
PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding. ACM Multimedia (ACM MM) Workshop, Silicon Valley, California, U.S., Oct. 2017. |
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Temporal Perceptive Network for Skeleton-Based Action Recognition. British Machine Vision Conference (BMVC), London, UK, Sep. 2017. |
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Online Action Detection and Forecast via Multi-Task Deep Recurrent Neural Network. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2017), New Orleans, LA, U.S., March. 2017. |