262 citations · 1.9k across the 56 of their papers we have counts for
6 papers · 1 filter
Multi-scale 3D Convolution Network for Video Based Person Re-Identification
Jianing Li, Shiliang Zhang, Tiejun Huang
This paper proposes a two-stream convolution network to extract spatial and temporal cues for video based person Re-Identification (ReID). A temporal stream in this network is cons…
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
Qi Yan, Yajing Zheng, Shanshan Jia +6
Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for the visual system in neuroscience.…
Graph Convolutional Reinforcement Learning
Jiechuan Jiang, Chen Dun, Tiejun Huang +1
Learning to cooperate is crucially important in multi-agent environments. The key is to understand the mutual interplay between agents. However, multi-agent environments are highly…
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits
Zhaofei Yu, Yonghong Tian, Tiejun Huang +1
Experimental observations of neuroscience suggest that the brain is working a probabilistic way when computing information with uncertainty. This processing could be modeled as Bay…
Neural System Identification with Spike-triggered Non-negative Matrix Factorization
Shanshan Jia, Zhaofei Yu, Arno Onken +3
Neuronal circuits formed in the brain are complex with intricate connection patterns. Such complexity is also observed in the retina as a relatively simple neuronal circuit. A reti…
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina
Yang Yue, Liuyuan He, Gan He +4
Photoreceptors in the retina are coupled by electrical synapses called "gap junctions". It has long been established that gap junctions increase the signal-to-noise ratio of photor…