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Optimized Potential Initialization for Low-latency Spiking Neural Networks



Tong Bu , Jianhao Ding , Zhaofei Yu , Tiejun Huang

* Accepted by AAAI 2022 

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1000x Faster Camera and Machine Vision with Ordinary Devices



Tiejun Huang , Yajing Zheng , Zhaofei Yu , Rui Chen , Yuan Li , Ruiqin Xiong , Lei Ma , Junwei Zhao , Siwei Dong , Lin Zhu , Jianing Li , Shanshan Jia , Yihua Fu , Boxin Shi , Si Wu , Yonghong Tian


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Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation



Ziluo Ding , Rui Zhao , Jiyuan Zhang , Tianxiao Gao , Ruiqin Xiong , Zhaofei Yu , Tiejun Huang


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Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks



Jianhao Ding , Zhaofei Yu , Yonghong Tian , Tiejun Huang

* 9 pages, 7 figures, 2 tables. To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) 

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Pruning of Deep Spiking Neural Networks through Gradient Rewiring



Yanqi Chen , Zhaofei Yu , Wei Fang , Tiejun Huang , Yonghong Tian

* 9 pages, 7 figures, 4 tables. To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) 

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Spike-based Residual Blocks



Wei Fang , Zhaofei Yu , Timothée Masquelier , Yanqi Chen , Tiejun Huang , Yonghong Tian


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Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks



Yichen Zhang , Shanshan Jia , Yajing Zheng , Zhaofei Yu , Yonghong Tian , Tiejun Huang , Jian K. Liu

* 19 pages, 7 figures 

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Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation



Yajing Zheng , Zhaofei Yu , Shanshan Jia , Jian K. Liu , Tiejun Huang , Yonghong Tian

* 20 pages, 10 figures 

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Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks



Qi Yan , Yajing Zheng , Shanshan Jia , Yichen Zhang , Zhaofei Yu , Feng Chen , Yonghong Tian , Tiejun Huang , Jian K. Liu

* 11 pages, 10 figures 

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