Jifeng Dai

(代季峰)
Lead Researcher
Visual Computing Group
Microsoft Research Asia
Email: jifdai -at- microsoft.com
Github: https://github.com/msracver https://github.com/daijifeng001

News:

Short Bio

I am currently a lead researcher in Visual Computing Group at Microsoft Research Asia (MSRA). Before I joined MSRA in 2014, I received the B.S. degree and the Ph.D. degree from Tsinghua University with honor in 2009 and 2014 respectively. I was also a visiting student to University of California, Los Angeles (UCLA) from 2012 to 2013. My current research focus is on deep learning for high-level vision, especially for semantic segmentation and object detection.

If you are interested in internship, joint Ph.D. program or research positions related to computer vision or deep learning, please send me an email.

Academic Activity

Publication

(* Interns at MSRA, + Equal contribution)

Deformable Convolutional Networks
Jifeng Dai+, Haozhi Qi*+, Yuwen Xiong*+, Yi Li*+, Guodong Zhang*+, Han Hu, and Yichen Wei
International Conference on Computer Vision (ICCV), 2017. (Oral)
Code is available!
A cool third-party demo on MNIST.

Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu*, Yujie Wang*, Jifeng Dai, Lu Yuan, and Yichen Wei
International Conference on Computer Vision (ICCV), 2017.
Code is available!
Video

Fully Convolutional Instance-aware Semantic Segmentation
Yi Li*+, Haozhi Qi*+, Jifeng Dai, Xiangyang Ji, and Yichen Wei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Spotlight)
1-st place winner of the COCO 2016 segmentation challenge
0.24 sec/image test speed (using ResNet-101 net)
Code is available!

Deep Feature Flow for Video Recognition
Xizhou Zhu*, Yuwen Xiong*, Jifeng Dai, Lu Yuan, and Yichen Wei
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Code is available!
Video

R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun
Neural Information Processing Systems (NIPS), 2016.
Code is available!

Instance-sensitive Fully Convolutional Networks
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, and Jian Sun
European Conference on Computer Vision (ECCV), 2016.

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin*, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral)
PASCAL-scribble dataset is available here!

Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai, Kaiming He, and Jian Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral)
1-st place winner of the COCO 2015 segmentation challenge
0.36 sec/image test speed (using VGG-16 net)
Code is available!

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai, Kaiming He, and Jian Sun
International Conference on Computer Vision (ICCV), 2015.

Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai, Kaiming He, and Jian Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Generative Modeling of Convolutional Neural Networks
Jifeng Dai, Yang Lu, and Ying-Nian Wu
International Conference on Learning Representations (ICLR), 2015.
project page

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models
Jifeng Dai, Yi Hong, Wenze Hu, Song-Chun Zhu, and Ying-Nian Wu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
project page

Cosegmentation and Cosketch by Unsupervised Learning
Jifeng Dai, Ying-Nian Wu, Jie Zhou, and Song-Chun Zhu
International Conference on Computer Vision (ICCV), 2013.
project page

Mining Sub-categories For Object Detection
Jifeng Dai, Jianjiang Feng, and Jie Zhou
International Conference on Pattern Recognition (ICPR), 2012. (Oral)

Ridge Based Palmprint Matching
Jifeng Dai, Jianjiang Feng, and Jie Zhou
IEEE Biometrics Council Newsletter, 7:4-5, 2013. (Invited paper)

Robust and Efficient Ridge-Based Palmprint Matching
Jifeng Dai, Jianjiang Feng, and Jie Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(8):1618–1632, 2012.

Multi-feature Based High-resolution Palmprint Recognition
Jifeng Dai, and Jie Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 33(5):945–957, 2011.

Selected Award