智能感知与计算研究中心
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1. Recent Advances in Black-box Adversarial Attacks to Deep Learning  (2020-09-09)
2. From Feedforward-Designed Convolutional Neural Network (FF-CNNs) to Successive Subspace Learning (SSL)  (2019-12-23)
3. The Neural Mechanisms underlying Face Processing  (2019-10-09)
4. Deep Learning for Human-Centric Image Analysis: From Face Recognition to Human Parsing  (2019-08-28)
5. Machine Learning for Inclusive Finance  (2019-07-25)
6. Neural Architecture Search: The Next Generation of Machine Learning  (2019-06-24)
7. Interpretable Convolutional Neural Networks (CNNs) via Feedforward Design  (2018-12-19)
8. Person Re-Identification: Datasets and Representations  (2018-12-05)
9. On the use of Artifical Intelligence for solving computational imaging problems  (2018-11-15)
10. 智能感知与计算系列讲座——讲座人:Prof.William G. Hayward; Dr.Antoni B. Chan;Dr. Janet H. Hsiao  (2018-09-19)
11. Image-based Crowd Analytics  (2018-08-17)
12. Internationalization of Higher Education and Knowledge Flew to Enrich World-class Academic Environment  (2018-08-07)
13. Zero-shot Learning and Multi-modality Data Interpretability and Integration  (2018-08-02)
14. Joint Top-down and Bottom-up Inference for Data Efficient and Generalizable Visual Learning  (2018-07-20)
15. Beyond video search – video summarization  (2018-06-26)
16. Active Authentication in Mobile Devices: Role of Touch Biometrics  (2018-05-20)
17. How Does Our Visual Brain Integrate Local Visual Cues To Form Global Representations?  (2018-04-17)
18. Why and Why Not Convolutional Neural Networks (CNNs)?  (2017-12-16)
19. Big Image-Omics Data Analytics for Clinical Outcome Prediction  (2017-08-10)
20. Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities  (2017-06-14)


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