智能感知与计算研究中心
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1. 基于特征匹配的视觉目标检测  (2021-09-18)
2. Swin Transformer和拥抱Transformer的五个理由  (2021-07-15)
3. Local Transformer Attention is Equivalent to Convolution  (2021-06-30)
4. 复杂视频的深度表征和理解  (2021-06-06)
5. Neural Modeling and Rendering: A Paradigm Shift in Computer Vision and Graphics  (2021-04-30)
6. Learning to Recover 3D Scene Shape from Single monocular Images  (2021-03-31)
7. 基于长期时序信息的视频时空行为检测  (2020-11-07)
8. Recent Advances in Black-box Adversarial Attacks to Deep Learning  (2020-09-09)
9. From Feedforward-Designed Convolutional Neural Network (FF-CNNs) to Successive Subspace Learning (SSL)  (2019-12-23)
10. The Neural Mechanisms underlying Face Processing  (2019-10-09)
11. Deep Learning for Human-Centric Image Analysis: From Face Recognition to Human Parsing  (2019-08-28)
12. Machine Learning for Inclusive Finance  (2019-07-25)
13. Neural Architecture Search: The Next Generation of Machine Learning  (2019-06-24)
14. Interpretable Convolutional Neural Networks (CNNs) via Feedforward Design  (2018-12-19)
15. Person Re-Identification: Datasets and Representations  (2018-12-05)
16. On the use of Artifical Intelligence for solving computational imaging problems  (2018-11-15)
17. 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)
18. Image-based Crowd Analytics  (2018-08-17)
19. Internationalization of Higher Education and Knowledge Flew to Enrich World-class Academic Environment  (2018-08-07)
20. Zero-shot Learning and Multi-modality Data Interpretability and Integration  (2018-08-02)


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