Welcome!

- My name is Keren Fu (傅可人) and I'm a research associate professor (副研究员) and PhD supervisor (博士生导师) with the College of Computer Science (Link to Biometrics Research Laboratory), Sichuan Univerisity, Chengdu, China.

- I received my dual Ph.D. degrees from both Shanghai Jiao Tong University and Chalmers University of Technology, Sweden, in 2016, and joined Sichuan University in 2017.

- My current interests mainly focus on visual computing, saliency analyses [online demo], stereo vision, and machine learning.

News:

2024-7: One paper is accepted to ECCV 2024!

2024-6: Four papers are accepted to PRCV 2024!

2024-5: One paper is accepted by Visual Intelligence![Arxiv]

2024-4: Our paper on video object segmentation has received Honorable Mention Award in CVMJ! Congrats to Ge-Peng and all co-authors![link]

2024-2: One paper is accepted by IEEE Signal Processing Letters![github]

2024-1: I am invited to serve as a reviewer for ECCV 2024!

2024-1: One paper is accepted by Image and Vision Computing![github]

2023-12: We conduct a preliminary work to promote segmentation accuracy of SAM![Arxiv]

2023-12: I am invited to serve as a PC member for IJCAI 2024!

2023-10: We have released a pioneer work for RGB-D Video Salient Object Detection![Github]

2023-10: I am invited to serve as a reviewer for CVPR 2024!

2023-10: I am acknowledged as Outstanding Reviewer at ICCV 2023![link]

2023-8: One paper on dynmaic facial expression recognition is accepted by PRCV-2023!

2023-6: Congratulations to three my master students, Yao Jiang, Yukang Lu, and Dingyao Min, for receiving Outstanding Master Thesis Awards from the College!

2023-2: I am invited to serve as a reviewer for ICCV 2023!

2022-12: I am invited to serve as a PC member for IJCAI 2023!

2022-10: I am invited to serve as a reviewer for CVPR 2023!

2022-9: One paper on few-shot learning-based RGB-D SOD is accepted by Neurocomputing!

2022-8: One paper is accepted by IEEE TNNLS![Github]

2022-8: One paper is accepted by Computerized Medical Imaging and Graphics!

2022-8: One paper is accepted by IEEE TMM!

2022-7: One paper is accepted by IEEE Signal Processing Letters!

2022-6: We release a Demo website for our previous RGB-D SOD paper published on ACMMM-2021! Try it yourself!![Online demo]

2022-3: One paper is accepted by Neurocomputing!

2021-10: One paper is accepted by Pattern Recognition![Github]

2021-10: One paper is accepted by Computational Visual Media (CVMJ)![Github]

2021-10: Congratulations to my master student Wenbo Zhang for acceptance of National Scholarship!

2021-10: One paper is accepted by Computational Visual Media (CVMJ)![Github]

2021-7: One paper is accepted by ICCV-2021![Github]

2021-7: I will serve as a TPC member for IJCAI-2022!

2021-7: One paper is accepted by ACMMM-2021![Github][Online demo]

2021-7: One paper is accepted by Neurocomputing!

2021-4: One paper is accepted by IEEE TII!

2021-4: One paper is accepted by IEEE TPAMI!

2021-4: One paper is accepted by Neurocomputing!

2021-3: One paper is accepted by ICME-2021!

2021-1: One Neurocomputing paper accepted!

2020-12: One paper is accepted by AAAI-2021![Github]

2020-11: We have released a Review and Benchmark for Light Field Salient Object Detection![Github]

2020-11: I was invited as a SPC member for IJCAI-2021!

2020-10: One Pattern Recognition paper accepted!

2020-10: I serve as a TPC member for IJCAI-2021!

2020-9: I serve as a TPC member for AAAI-2021!

2020-8: One Image and Vision Computing paper accepted!

2020-6: One IEEE SPL paper accepted!

2020-5: One Neurocomputing paper accepted!

2020-4: One IEEE TMM paper accepted!

2020-4: One Neurocomputing paper accepted!

2020-2: One paper on RGB-D SOD is accepted by CVPR-2020![Github]

About me

I received the B.S. degree from Huazhong University of Science and Technology, Wuhan, China, in 2011, and dual Ph.D. degrees from Shanghai Jiao Tong University, Shanghai, China, and Chalmers University of Technology, Gothenburg, Sweden, in 2016, under the joint supervision of Prof. Jie Yang and Prof. Irene Yu-Hua Gu. I am currently a research associated professor with College of Computer Science, Sichuan University, Chengdu, China. My current research interests include visual computing, saliency analysis, and machine learning.

My study and work

Publication

Journal papers

- Yao Jiang, Xinyu Yan, Ge-Peng Ji, Keren Fu*, Meijun Sun, Huan Xiong*, Deng-Ping Fan, Fahad Shahbaz Khan. Effectiveness Assessment of Recent Large Vision-Language Models, Visual Intelligence (VI), 2024. [Arxiv]

- Bo Yuan, Yao Jiang, Keren Fu*, Qijun Zhao. Parallax-aware Network for Light Field Salient Object Detection, IEEE Signal Processing Letters, 31: 810-814, 2024. [github]

- Chengcheng Lu, Yiben Jiang, Keren Fu*, Qijun Zhao, Hongyu Yang. LSTPNet: Long short-term perception network for dynamic facial expression recognition in the wild, Image and Vision Computing, 142: 104915, 2024. [github]

- Keren Fu, Jing He, Xiao Yang. Few-Shot Learning-based RGB-D Salient Object Detection: A Case Study, Neurocomputing, 512: 142-152, 2022.

- Qian Chen, Zhenxi Zhang, Yanye Lu, Keren Fu*, Qijun Zhao. 3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond, IEEE Transactions on Neural Networks and Learning Systems, 35(3): 4309-4323, 2024. [github]

- Huakun Yang, Qian Chen, Keren Fu, Lei Zhu, Lujia Jin, Qiushi Ren, Hongwei Du, Yanye Lu. Boosting Medical Image Segmentation via Conditional-Synergistic Convolution and Lesion Decoupling, Computerized Medical Imaging and Graphics, 101: 102110, 2022.

- Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang. Fusion-Embedding Siamese Network for Light Field Salient Object Detection, IEEE Transactions on Multimedia, 26: 984-994, 2023.

- Dingyao Min, Chao Zhang, Yukang Lu, Keren Fu*, Qijun Zhao. Mutual-Guidance Transformer-Embedding Network For Video Salient Object Detection, IEEE Signal Processing Letters, 29: 1674-1678, 2022. [github]

- Yao Jiang, Wenbo Zhang, Keren Fu*, Qijun Zhao. MEANet: Multi-Modal Edge-Aware Network for Light Field Salient Object Detection, Neurocomputing, 491: 78-90, 2022.

- Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu*. Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network, Pattern Recognition, 123: 108414, 2022.

- Ge-Peng Ji, Deng-Ping Fan, Keren Fu, Zhe Wu, Jianbing Shen, Ling Shao. Full-Duplex Strategy for Video Object Segmentation, Computational Visual Media, 9(1): 155-175, 2023.[Honorable Mention Award]

- Keren Fu, Yao Jiang, Ge-Peng Ji, Tao Zhou, Qijun Zhao, Deng-Ping Fan. Light Field Salient Object Detection: A Review and Benchmark, Computational Visual Media, 8(4): 509-534, 2022.[pdf][github]

- Yi He, Keren Fu*, Peng Cheng, Jianwei Zhang. Facial Expression Recognition with Geometric Scattering on 3D Point Clouds, Sensors, 22(21): 8293, 2022.

- Yi Zhang, Keren Fu, Cong Han, et al. PGM-Face: Pose-Guided Margin Loss for Cross-Pose Face Recognition, Neurocomputing, 460: 154-165, 2021.

- Ye Lin, Keren Fu, Shenggui Ling, Jiang Wang, Peng Cheng. Toward Identity Preserving Face Synthesis between Sketches and Photos Using Deep Feature Injection, IEEE Transactions on Industrial Informatics, 18(1): 327-336, 2021.

- Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao, Jianbing Shen, Ce Zhu. Siamese Network for RGB-D Salient Object Detection and Beyond, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9): 5541-5559, 2022. [pdf][github]

- Yi Zhang, Keren Fu, Cong Han, Peng Cheng. Identity-and-Pose-Guided Generative Adversarial Network for Face Rotation, Neurocomputing, 450: 33-47, 2021.

- Bo Dong, Yan Zhou, Chuanfei Hu, Keren Fu*, Geng Chen. BCNet: Bidirectional Collaboration Network for Edge-Guided Salient Object Detection, Neurocomputing, 437: 58-71, 2021.[github]

- Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu. EF-Net: A Novel Enhancement and Fusion Network for RGB-D Saliency Detection, Pattern Recognition, 112: 107740, 2021.

- Yu Zhao, Qiaoyuan Shu, Keren Fu, Pengcheng Wei, Jian Zhan. Joint patch and instance discrimination learning for unsupervised person re-identification, Image and Vision Computing, 104000, 2020.

- Ye Lin, Shenggui Ling, Keren Fu, Peng Cheng. An Identity-Preserved Model for Face Sketch-Photo Synthesis, IEEE Signal Processing Letters, 27: 1095-1099, 2020.

- Yi Zhang, Keren Fu, Peng Cheng. Learning from Discrete Gaussian Label Distribution and Spatial Channel-aware Residual Attention for Head Pose Estimation, Neurocomputing, 407: 259-269, 2020.

- Lei Zhou, Chen Gong, Zhi Liu, Keren Fu. SAL:Selection and Attention Losses for Weakly Supervised Semantic Segmentation, IEEE Transactions on Multimedia, 23: 1035-1048, 2021.

- Jingchen Zhang, Kangkang Gao, Keren Fu*, Peng Cheng. Deep 3D Facial Landmark Localization on Position Maps, Neurocomputing, 406: 89-98, 2020.

- Yu Zhao, Keren Fu*, Qiaoyuan Shu, Pengcheng Wei, Xi Shi. Multilevel deep representation fusion for person re-identification, Journal of Electronic Imaging, 29(2), 2020.

- Zhenguo Hu, Penghui Gui, Ziqing Feng, Qijun Zhao, Keren Fu*, Feng Liu, Zhengxi Liu. Boosting Depth-based Face Recognition from a Quality Perspective, Sensors, 19(19), 2019.

- Keren Fu, Qijun Zhao, Irene Yu-Hua Gu, Jie Yang, Deepside: A General Deep Framework for Salient Object Detection, Neurocomputing, 356: 69-82, 2019. [results][extraction code: xcjw]

- Keren Fu, Yijiang Xie, Hailong Jing, Jiangping Zhu, Fast Spatial-temporal Stereo Matching for 3D Face Reconstruction under Speckle Pattern Projection, Image and Vision Computing, 85: 36-45, 2019.

- Lei Zhou, Keren Fu, Zhi Liu, Fan Zhang, Zhimin Yin, Xiangyong Kong, Jianli Zheng, Superpixel based Continuous Conditional Random Field Neural Network for Semantic Segmentation, Neurocomputing, 340: 196-210, 2019.

- Keren Fu, Qijun Zhao, Irene Yu-Hua Gu, Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection, IEEE Transactions on Multimedia, 21(2): 457-469, 2018. [results][extraction code: iziq]

- Keren Fu, Irene Yu-Hua Gu, Jie Yang, Spectral Salient Object Detection, Neurocomputing, 275: 788-803, 2018. [pdf][code]

- Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, Jie Yang, “Inverse Nonnegative Local Coordinate Factorization for Visual Tracking,” IEEE Transactions on Circuits and Systems for Video Technology, 28(8):1752-1764, 2017. [pdf]

- Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu and Jie Yang. Visual Tracking via Nonnegative Multiple Coding. IEEE Transactions on Multimedia, 19(12):2680-2691, 2017. [pdf]

- Keren Fu, Irene Gu, Jie Yang, “Saliency Detection by Fully Learning A Continuous Conditional Random Field,” IEEE Transactions on Multimedia (TMM), 19(7): 1531-1544, 2017. [pdf]

- Fanghui Liu, Tao Zhou, Keren Fu, Jie Yang, “Kernelized Temporal Locality Learning for Real-time Visual Tracking,” Pattern Recognition Letters, 90: 72-79, 2017.

- Keren Fu, Irene Y.H. Gu, Chen Gong, Jie Yang, “Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction,” Neurocomputing, 175: 336-347, 2016. [pdf][code]

- Chenjie Ge, Keren Fu, Fanghui Liu, Li Bai, Jie Yang, “Co-saliency detection via inter and intra saliency propagation,” Signal processing: Image Communication, 44: 69-83, 2016. [pdf]

- Keren Fu, Chen Gong, Irene Gu, Jie Yang, “Normalized Cut-based Saliency Detection by Adaptive Multi-Level Region Merging,” IEEE Transactions on Image Processing (TIP), 24(12):5671-5683, 2015. [pdf][code]

- Yijun Li, Keren Fu, Zhi Liu, Jie Yang, “Efficient Saliency-Model-Guided Visual Co-Saliency Detection,” IEEE Signal Processing Letters, 28(5):588-592, 2015. [pdf][code]

- Chen Gong, Dacheng Tao, Keren Fu, Jie Yang, “FLAP: Fick's Law Assisted Propagation for Semi-supervised Learning,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 26(9): 2148-2162, 2015. [pdf]

- Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Jie Yang, “Deformed graph Laplacian for semi-supervised learning,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 26(10): 2261-2274, 2015. [pdf]

- Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang, “Robust visual tracking via efficient manifold ranking with low-dimensional compressive features,” Pattern Recognition, 48(8): 2459-2473, 2015. [pdf]

- Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang, “Semi-supervised classification with pairwise constraints,” Neurocomputing, 139: 130-137, 2014. [pdf]

- Chen Gong, Keren Fu, Artur Loza, Qiang Wu, Jia Liu, Jie Yang, “PageRank Tracker: From ranking to tracking,” IEEE Transactions on Cybernetics (TCYB), 44(6): 882-893, 2014. [pdf]

- Kai Xie, Keren Fu, Tao Zhou, Junhao Zhang, Jie Yang, Qiang Wu, "Small target detection based on accumulated center-surround difference measure," Infrared Physics & Technology, 67: 229-236, 2014. [pdf]

- Lei Zhou, Keren Fu, Yijun Li, Yu Qiao, Xianjian He, Jie Yang, "Bayesian Salient Object Detection Based on Saliency Driven Clustering," Signal processing: Image Communication, 29(3): 434-447, 2014. [pdf]

- Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He, “Scalable semi-supervised classification via Neumann series,” Neural Processing Letters, 42(1): 187-197, 2014. [pdf]

- Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Irene Yu-Hua Gu, “Superpixel based color contrast and color distribution driven salient object detection,” Signal processing: Image Communication, 28(10):1448-1463, 2013. [pdf][code]

- Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He, “Robust object tracking using linear neighborhood propagation,” Journal of Electronic Imaging, 2013. [pdf]

- Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Yu-Hua Gu, “One-class support vector machine-assisted robust tracking,” Journal of Electronic Imaging, 22(2), 2013. [pdf]

Conference papers

- Xuan Wu, Hongxiang Li, Yuanjiang Luo,Xuxin Cheng, Xianwei Zhuang, Meng Cao, Keren Fu*, “Uncertainty-aware Sign Language Video Retrieval with Probability Distribution Modeling,” in European Conference on Computer Vision (ECCV), 2024.

- Zongming Peng, Qijun Zhao, Keren Fu, Yue Yang, Tie Liu, Fan Pan, Yangqianqian Chen, “Identity-Preserving Animal Image Generation for Animal Individual Identification,” in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024.

- Pengyu Yin, Keren Fu*, Qijun Zhao, “Key Object Detection: Unifying Salient and Camouflaged Object Detection into One Task,” in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024.

- Yiben Jiang, Xiao Yang, Keren Fu, Hongyu Yang, “Depth-Aware Dual-stream Interactive Transformer Network for Facial Expression Recognition,” in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024.

- Zhen Zhai, Hailun Zhang, Qijun Zhao, Keren Fu, “Species-Aware Guidance for Animal Action Recognition with Vision-Language Knowledge,” in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024.

- Chengcheng Lu, Yiben Jiang, Keren Fu*, Qijun Zhao, Hongyu Yang, “Long Short-Term Perception Network for Dynamic Facial Expression Recognition,” in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.

- Bo Yuan, Yao Jiang, Keren Fu*, Qijun Zhao, “Guided Focal Stack Refinement Network for Light Field Salient Object Detection,” in IEEE International Conference on Multimedia and Expo (ICME), 2023. [github]

- Dingyao Min, Chao Zhang, Yukang Lu, Keren Fu*, Qijun Zhao, “Local-Global Interaction and Progressive Aggregation for Video Salient Object Detection,” in International Conference on Neural Information Processing (ICONIP), 2022. [github]

- Yukang Lu, Dingyao Min, Keren Fu*, Qijun Zhao, “Depth-Cooperated Trimodal Network for Video Salient Object Detection,” in IEEE International Conference on Image Processing (ICIP), 2022. [pdf][github]

- Zhuo Wang, Minyue Xiao, Jing He, Chao Zhang, Keren Fu, “Bimodal Information Fusion Network for Salient Object Detection based on Transformer,” in International Conference on Pattern Recognition and Machine Learning (PRML), 2022.

- Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao, “Full-Duplex Strategy for Video Object Segmentation,” in IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [pdf][github]

- Wenbo Zhang, Ge-Peng Ji, Zhuo Wang, Keren Fu*, Qijun Zhao, “Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection,” in ACM International Conference on Multimedia (ACM MM), 2021. [pdf][github][Online demo]

- Wenbo Zhang, Yao Jiang, Keren Fu*, Qijun Zhao, “BTS-NET: Bi-directional Transfer-and-Selection Network for RGB-D Salient Object Detection,” in IEEE International Conference on Multimedia and Expo (ICME), 2021. [pdf][github]
- Qian Chen, Ze Liu, Yi Zhang, Keren Fu*, Qijun Zhao, Hongwei Du, “RGB-D Salient Object Detection via 3D Convolutional Neural Networks,” in AAAI Conference on Artificial Intelligence (AAAI), 2021. [pdf][github]
- Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao, “JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [pdf][github]
- Kangkang Gao, Shanming Yang, Keren Fu*, Peng Cheng, “Deep 3D Facial Landmark Detection on Position Maps,” in IScIDE, 2019.[pdf]
- Zhicong Feng, Keren Fu*, Qijun Zhao, “Learning to Focus and Discriminate for Fine-grained Classification,” in IEEE Int'l Conference on Image Processing (ICIP), 2019.[pdf]
- Keren Fu, Irene Yu-Hua Gu, “Learning full-range affinity for diffusion-based saliency detection,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
- Keren Fu, Irene Yu-Hua Gu, Anders Odblom, Feng Liu, “Geodesic Distance Transform-based Salient Region Segmentation for Automatic Traffic Sign Recognition,” in IEEE Intelligent Vehicles Symposium (IVS), 2016.
- Keren Fu, Chen Gong, Irene Y.H. Gu, Jie Yang, Pengfei Shi, “Salient Object Detection using Normalized Cut and Geodesics,” in IEEE Int'l Conference on Image Processing (ICIP), 2015.
- Keren Fu, Irene Y.H. Gu, Anders Odblom, “Traffic Sign Recognition using Salient Region Features: A Novel Learning-based Coarse-to-Fine Scheme,” in IEEE Intelligent Vehicles Symposium (IVS), 2015.
- Chen Gong, Dacheng Tao, Wei Liu, S.J. Maybank, Meng Fang, Keren Fu, Jie Yang, “Saliency Propagation from Simple to Difficult,'' in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.[pdf and code]
- Kai Xie, Keren Fu, Tao Zhou, Jie Yang, Qiang Wu, Xiangjian He, “Small Target Detection Using an Optimization-based Filter,” in IEEE Int'l Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015.
- Keren Fu, Kai Xie, Chen Gong, Irene Y.H. Gu, Jie Yang, “Effective Small Dim Target Detection by Local Connectedness Constraint,” in IEEE Int'l Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
- Keren Fu, Chen Gong, Irene Y.H. Gu, Jie Yang, “Spectral Salient Object Detection,” in Int'l Conference on Multimedia and Expo (ICME), 2014.
- Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Y.H. Gu, Jie Yang, Jingyi Yu, “Adaptive Multi-Level Region Merging for Salient Object Detection,” in British Machine Vision Conference (BMVC), 2014.
- Keren Fu, Irene Y.H. Gu, Yixiao Yun, Chen Gong, Jie Yang, “Graph construction for salient object detection in videos,” in Int'l Conference on Pattern Recognition (ICPR), 2014.
- Keren Fu, Irene Y.H. Gu, Anders Odblom, “Automatic Traffic Sign Recognition based on Saliency-Enhanced Features and SVMs from Incrementally Built Dataset,” in IEEE Int'l Conference on Connected Vehicle & Expo (ICCVE), 2014.
- Yijun Li, Keren Fu, Lei Zhou, Yu Qiao, Jie Yang, “Saliency Detection via Foreground Rendering and Background Exclusion,” in IEEE Int'l Conference on Image Processing (ICIP), 2014.
- Yijun Li, Keren Fu, Lei Zhou, Yu Qiao, Jie Yang, Bai Li, “Saliency Detection based on Extended Boundary Prior with Foci of Attention,” in IEEE Int'l Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
- Chen Gong, Dacheng Tao, Keren Fu, Jie Yang, “ReLISH: Reliable Label Inference via Smoothness Hypothesis,” in AAAI Conference on Artificial Intelligence (AAAI), 2014.
- Chen Gong, Dacheng Tao, Keren Fu, Jie Yang, “Signed Laplacian Embedding for Supervised Dimension Reduction,” in AAAI Conference on Artificial Intelligence (AAAI), 2014.
- Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang, “Visual Tracking via Graph-based Efficient Manifold Ranking with Low-Dimensional Compressive Features,” in Int'l Conference on Multimedia and Expo (ICME), 2014.
- Keren Fu, Chen Gong, Irene Y.H. Gu, Jie Yang, “Geodesic Saliency Propagation for Image Salient Region Detection,” in IEEE Int'l Conference on Image Processing (ICIP), 2013.[pdf][code]
- Keren Fu, Chen Gong, Jie Yang, Yue Zhou, “Salient Object Detection via Color Contrast and Color Distribution,” in Asia Conference on Computer Vision (ACCV), 2012.
- Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Y.H. Gu, “One-class SVM assisted accurate tracking,” in IEEE Int'l Conference on Distributed Smart Cameras (ICDSC), 2012.

Projects

Current projects

3D face reconstruction: A project aiming at products of portable 3D face cameras that could reconstruct 3D face in practical scenes, with applications to 3D face rendering and recognition, etc.

3dface

Face recognition: Face recognition in the wild is a challenging problem due to varying poses and illumination conditions. Specially, we are interesting in matching a 2D face image to 3D face model to pursue a better performance than conventional 2D-2D face recognition.

3dface

Salient object detection: Salient object detection (SOD) is to find and highlight visually conspicuou objects from a scene.The outcomes of saliency detection are so-called saliency maps, where the pixel-wise intensity indicates the degree of how much this scene location attracts human attention.

3dface

Teaching

- SSD2: Introduction to Computer Systems

- Advances in Computer Science

- Academic Standard & Writing Skills

- Biometrics

- Introduction to Electronic Information [book] [part1] [part2]

Academic services

Reviewer for:

ACM Computing Surveys

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Multimedia

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Automation Science and Engineering

IEEE Transactions on Industrial Informatics

IEEE Transactions on Industrial Electronics

Pattern Recognition

Pattern Recognition Letters

Neurocomputing

Computer Vision and Image Understanding

Image and Vision Computing

TPC members:

AAAI-2021, IJCAI-2021, CVPR-2021, IJCAI-2022, CVPR-2023, IJCAI-2023, ICCV-2023, CVPR-2024, IJCAI-2024

Alumni

2024

Bo Yuan→ 中国邮政储蓄银行

Tao Xiao→ 国家开发银行

Chengcheng Lu→中国移动

2023

Yao Jiang→ SCU, my PhD Candidate

Jing He→ SCU, my PhD Candidate

Dingyao Min→字节跳动公司

Yukang Lu→ 中国银行软件中心

Zhuo Wang→交通银行

2022

Wenbo Zhang → The University of Adelaide, Australia, PhD Candidate

Contact me

Email: fkrsuper [at] scu [dot] edu [dot] cn

Address: College of Computer Science, Sichuan University, Wangjiang Campus, 610065.

地址: 四川省成都市一环路南一段24号四川大学, 610065