420 citations · 1.6k across the 44 of their papers we have counts for
8 papers · 1 filter
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
Xiangbo Shu, Jinhui Tang, Guo-Jun Qi +2
In this paper, we aim to address the problem of human interaction recognition in videos by exploring the long-term inter-related dynamics among multiple persons. Recently, Long Sho…
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads
Kristjan Arumae, Guo-Jun Qi, Fei Liu
Asking effective questions is a powerful social skill. In this paper we seek to build computational models that learn to discriminate effective questions from ineffective ones. Arm…
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah
Meta-learning approaches have been proposed to tackle the few-shot learning problem.Typically, a meta-learner is trained on a variety of tasks in the hopes of being generalizable t…
Deep Ordinal Hashing with Spatial Attention
Lu Jin, Xiangbo Shu, Kai Li +3
Hashing has attracted increasing research attentions in recent years due to its high efficiency of computation and storage in image retrieval. Recent works have demonstrated the su…
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
Liheng Zhang, Marzieh Edraki, Guo-Jun Qi
In this paper, we formalize the idea behind capsule nets of using a capsule vector rather than a neuron activation to predict the label of samples. To this end, we propose to learn…
Sharp Attention Network via Adaptive Sampling for Person Re-identification
Chen Shen, Guo-Jun Qi, Rongxin Jiang +4
In this paper, we present novel sharp attention networks by adaptively sampling feature maps from convolutional neural networks (CNNs) for person re-identification (re-ID) problem.…