Open Positions
I am actively looking for self-motivated
undergraduate/graduate students and visiting students/scholars to join my research group. Feel free to contact me with your CV (PDF format) if
you have a background in one or more of the following areas — computer vision, image and video processing, deep learning.
For prospective students, you will find PhD application information
here.
Call for Papers
Remote Sensing (IF = 3.244) — Special Issue: Joint Artificial Intelligence and Computer Vision Applications in Remote Sensing
Remote Sensing — Special Issue: Robust Multispectral/Hyperspectral Image Analysis and Classification
Remote Sensing — Special Issue: Dimensionality Reduction for Hyperspectral Imagery Analysis
Sensors (IF = 2.677) — Special Issue: Sensors Signal Processing and Visual Computing
Sensors — Special Issue: Semantic Representations for Behavior Analysis in Robotic system
Journal of Real-Time Image Processing (IF = 2.010) — Special Issue: Advances in Real-Time Image Processing for Remote Sensing (Completed)
[Special Issue Editorial]
News
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01/2019: Welcome Sijie Zhu and Taojiannan Yang to join our lab as PhD students starting Spring 2019.
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01/2019: Thanks Google for the $5,000 research credits on the Google Cloud Platform.
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12/2018: Thanks NVIDIA for donating a Titan V GPU to our lab.
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12/2018: One journal paper is accepted by IEEE TNNLS.
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10/2018: Two papers are accepted by
AAAI 2019 (acceptance rate: 1150/7095 = 16.2%).
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08/2018: Serving as a member of the Program Committee of
AAAI 2019, Hawaii.
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05/2018: I will serve as an Area Chair (AC) for
WACV 2019, Hawaii.
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05/2018: Our patent "
Wearable medication adherence monitoring" is granted! US Patent #: US9971874B2
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04/2018: One paper is accepted to IJCAI 2018. (top conference in AI)
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03/2018: One paper is accepted to CVPR 2018. (top conference in CV)
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02/2018: Serving as a member of the Program Committee of ECCV 2018.
Recent Papers
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu
33rd AAAI Conference on Artificial Intelligence (AAAI), 2019 (Oral)
[
Paper ]
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Li'an Zhuo, Baochang Zhang, Chen Chen, David Doermann, Jianzhuang Liu, Qixiang Ye
33rd AAAI Conference on Artificial Intelligence (AAAI), 2019
[
Paper ]
Gabor Convolutional Networks
Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu
IEEE Transactions on Image Processing (TIP), 2018
[
Paper ] [
Code ]
Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[
Paper ]
Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani, Chen Chen, Mubarak Shah
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[
Paper ] [
Project Website (New Anomaly Detection Dataset) ]
[
Download the dataset]
(
Note: The "Anomaly_Train.txt" file in the zip file is corrupted, please down it here: Anomaly_Train.txt)
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Rui Hou, Chen Chen, Mubarak Shah
International Conference on Computer Vision (ICCV), 2017
[
Paper ] [
Project Website ] [
Code ]
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Rui Hou, Chen Chen, Mubarak Shah
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in revision
[
Paper ] [
Project Website ]
Cross-View Image Matching for Geo-localization in Urban Environments
Yicong Tian, Chen Chen, Mubarak Shah
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[
Paper ] [
Project Website (Cross-view dataset and code) ]
Binary Coding for Partial Action Analysis with Limited Observation Ratios
Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[
Paper ]
more...
