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Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots [会议论文, 2023-05]
Graph Emotion Decoding from Visually Evoked Neural Responses [会议论文, 2023-05]
Conditional Generative Neural Decoding with Structured CNN Feature Prediction [会议论文, 2023-05]
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Ling.. [期刊论文, 2023-05]
Semi-supervised cross-modal image generation with generative adversarial networks [期刊论文, 2023-05]
Graph-Enhanced Emotion Neural Decoding [期刊论文, 2023-05]
Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generat.. [会议论文, 2023-05]
Simultaneous neural spike encoding and decoding based on cross-modal dual deep gen.. [会议论文, 2023-05]
N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot.. [期刊论文, 2023-03]
A brain-inspired robot pain model based on a spiking neural network [期刊论文, 2023-02]

1. Bundled local features for image representation

[415]

2. Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition

[306]

3. A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its App..

[296]

4. Object Categorization Using Class-Specific Representations

[279]

5. Overview of Deep Learning

[276]

6. Image-level classification by hierarchical structure learning with visual and sema..

[251]

7. HCNN: A Neural Network Model for Combining Local and Global Features Towards Human..

[245]

8. Multi-View Label Sharing For Visual Representations And Classifications

[218]

9. Image-Specific Classification With Local and Global Discriminations

[210]

10. Camera compensation using feature projection matrix for person re-identification

[199]

1. Bundled local features for image representation

[23]

2. A prototype-based SPD matrix network for domain adaptation EEG emotion recognition

[16]

3. Joint reconstruction of neuron and ultrastructure via connectivity consensus in el..

[12]

4. Statistical Analysis of Multisensory and Text-Derived Representations on Concept L..

[7]

5. Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Seman..

[7]

6. Structured Weak Semantic Space Construction for Visual Categorization

[3]

7. Brain activity regulates loose coupling between mitochondrial and cytosolic Ca2+ t..

[3]

8. 引入正运动学因子双足机器人状态估计

[3]

9. Reducing Calibration Efforts in RSVP Tasks With Multi-Source Adversarial Domain Ad..

[3]

10. Dynamic Weighted Filter Bank Domain Adaptation for Motor Imagery Brain-Computer In..

[3]

1. A prototype-based SPD matrix network for domain adaptation EEG emotion recognition

[3]

2. Image Class Prediction by Joint Object, Context, and Background Modeling

[2]

3. Brain activity regulates loose coupling between mitochondrial and cytosolic Ca2+ t..

[2]

4. Joint reconstruction of neuron and ultrastructure via connectivity consensus in el..

[2]

5. Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity

[2]

6. An automated pipeline for mitochondrial segmentation on ATUM-SEM stacks

[1]

7. Bundled local features for image representation

[1]

8. Structured Weak Semantic Space Construction for Visual Categorization

[1]

9. 基于深度学习的机器人抓取位置检测方法

[1]

10. An automated pipeline for bouton, spine, and synapse detection of in vivo two-phot..

[1]

Authors & Scholar Pages

何晖光

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