113 citations · 216 across the 8 of their papers we have counts for
8 papers
Improving Person Re-identification with Iterative Impression Aggregation
Dengpan Fu, Bo Xin, Jingdong Wang +4
Our impression about one person often updates after we see more aspects of him/her and this process keeps iterating given more meetings. We formulate such an intuition into the pro…
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning
Xiangyu Kong, Bo Xin, Fangchen Liu +1
Many tasks in artificial intelligence require the collaboration of multiple agents. We exam deep reinforcement learning for multi-agent domains. Recent research efforts often take…
From Bayesian Sparsity to Gated Recurrent Nets
Hao He, Bo Xin, David Wipf
The iterations of many first-order algorithms, when applied to minimizing common regularized regression functions, often resemble neural network layers with pre-specified weights.…
Collaborative Deep Reinforcement Learning for Joint Object Search
Xiangyu Kong, Bo Xin, Yizhou Wang +1
We examine the problem of joint top-down active search of multiple objects under interaction, e.g., person riding a bicycle, cups held by the table, etc.. Such objects under intera…
Maximal Sparsity with Deep Networks?
Bo Xin, Yizhou Wang, Wen Gao +1
The iterations of many sparse estimation algorithms are comprised of a fixed linear filter cascaded with a thresholding nonlinearity, which collectively resemble a typical neural n…
Background Subtraction via Generalized Fused Lasso Foreground Modeling
Bo Xin, Yuan Tian, Yizhou Wang +1
Background Subtraction (BS) is one of the key steps in video analysis. Many background models have been proposed and achieved promising performance on public data sets. However, du…