Linjie Yang
I am currently a Research Scientist at ByteDance Inc. in Mountain View, CA. Before that, I was a Research Scientist at Snap Research during 2016 - 2018. I obtained my PhD degree in the department of Information Engineering, Chinese University of Hong Kong in July 2016. I was supervised by Prof. Xiaoou Tang and Prof. Jianzhuang Liu. I also worked closely with Prof. Chen Change Loy and Ping Luo. I obtained my bachelor's degree from the department of Electronic Engineering, Tsinghua University in 2012. I worked as a research intern in Microsoft Research Asia from November 2011 to April 2012. My research interests include computer vision and machine learning, especially visual understanding with deep learning.
We are actively looking for full-time research scientists / engineers as well as research interns on computer vision and deep learning. Drop me an email if you are interested!
Recent Activities
I am co-organizing The 4th Large-scale Video Object Segmentation Challenge in conjunction with CVPR 2022. We have the same three tracks as last year: video object segmentation, video instance segmentation and language referring video segmentation. VIS is augmented with challenging long video settings! Call for participants!
Our paper with a new benchmark for multi-task neural architecture search accepted by ICLR 2022.
One paper on Video Matting accepted by WACV 2022. New SOTA!
One paper on Neural Architecture Search accepted by ICCV 2021.
Two papers accepted by CVPR 2021, including one oral (HR-NAS) and one poster (SOTA on Video Inpainting).
Publications
2022
Learning Versatile Neural Architectures by Propagating Network Codes
Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo
ICLR 2022. arXiv OpenReview Code
Robust High-Resolution Video Matting with Temporal Guidance
Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta
2021
AutoSpace: Neural Architecture Search with Less Human Interference
Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng
ICCV 2021. arXiv
Progressive Temporal Feature Alignment Network for Video Inpainting
Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee
HR-NAS: Searching Efficient High-Resolution Neural Architectureswith Lightweight Transformers
Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo
CVPR 2021 (Oral).
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi
AAAI 2021. arXiv
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Linjie Yang*, Qing Jin*
AAAI 2021. arXiv
2020
Neural Network Quantization with Scale-Adjusted Training
Qing Jin, Linjie Yang, Zhenyu Liao, Xiaoning Qian
BMVC 2020. arXiv Version Conference Version Supplementary Code
Neural Architecture Search for Lightweight Non-local Networks
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Ba, Alan Yuille.
CVPR 2020. arXiv Version. Code
AdaBits: Neural Network Quantization with Adaptive Bit-Widths
Qing Jin*, Linjie Yang*, Zhenyu Liao
CVPR 2020. arXiv Version Code
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan Yuille, Jianchao Yang
ICLR 2020. Open Review. Code
Context-Aware Zero-Shot Recognition
Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang
AAAI 2020. arXiv Version. Code
2019
Video Instance Segmentation
Linjie Yang, Yuchen Fan, Ning Xu.
ICCV 2019. arXiv Version Code Dataset
Streamlined Dense Video Captioning
Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han.
CVPR 2019 (Oral). arXiv Version
Slimmable Neural Networks.
Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas Huang.
ICLR 2019. OpenReview Code
2018
Youtube-VOS: Sequence-to-Sequence Video Object Segmentation.
Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian Price, Scott Cohen, Thomas Huang.
ECCV 2018. arXiv Version Dataset
Efficient Video Object Segmentation via Network Modulation
Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos.
CVPR 2018. arXiv Version Code
Before 2018
Dense Captioning with Joint Inference and Visual Context.
Linjie Yang, Kevin Tang, Jianchao Yang, Li-Jia Li.
CVPR 2017. arXiv Version Code
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
Linjie Yang, Ping Luo, Chen Change Loy, Xiaoou Tang.
CVPR 2015. PDF Dataset extended work on arXiv Code
Depth from Water Reflection
Linjie Yang, Jianzhuang Liu, and Xiaoou Tang
IEEE Transactions on Image Processing, 24(4), 1235-1243. PDF
Object Detection and Viewpoint Estimation with Auto-masking Neural Network
Linjie Yang, Jianzhuang Liu, and Xiaoou Tang
ECCV 2014. PDF
Complex 3D General Object Reconstruction from Line Drawings
Linjie Yang, Jianzhuang Liu, and Xiaoou Tang
ICCV 2013. PDF
Invited Talks
"A Large-Scale Car Dataset for Fine-Grained Categorization and Verification", In 3rd Workshop on Vehicle Retrieval in Surveillance (VRS 2015), Karlsruhe, Germany, August 2015.
"Introduction to Neural Architecture Search for Computer Vision", In ECCV 2020 Tutorial on From HPO to NAS: Automated Deep Learning, August 2020.
Workshop Organizers
Large-Scale Video Object Segmentation Challenge in conjunction with ECCV 2018 / ICCV 2019 / CVPR 2021
Tutorial on From HPO to NAS: Automated Deep Learning in conjunction with ECCV 2020
Review Service
TPAMI
IJCV
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Image Processing
Image and Vision Computing
WACV 2017, 2018
ACM Multimedia 2017
IJCAI 2017, 2018
CVPR 2018, 2019, 2020, 2021
ECCV 2018 2020
ICCV 2019
NeurIPS 2021
Contact
yljatthu@gmail.com