Guo-Jun Qi

K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations

In this paper, we propose the K-Shot Contrastive Learning (KSCL) of visu...
07/27/2020 ∙ by Haohang Xu, et al. ∙ 0 ∙ share

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Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events

Along with the development of the modern smart city, human-centric video...
05/09/2020 ∙ by Weiyao Lin, et al. ∙ 5 ∙ share

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Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Traffic forecasting has emerged as a core component of intelligent trans...
01/09/2020 ∙ by Mingxing Xu, et al. ∙ 0 ∙ share

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EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

Deep neural networks have been successfully applied to many real-world a...
11/21/2019 ∙ by Xiao Wang, et al. ∙ 0 ∙ share

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GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations

Recent advances in Graph Convolutional Neural Networks (GCNNs) have show...
11/19/2019 ∙ by Xiang Gao, et al. ∙ 0 ∙ share

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AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups

Self-supervised learning by predicting transformations has demonstrated ...
11/16/2019 ∙ by Feng Lin, et al. ∙ 0 ∙ share

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Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization

Existing methods for person re-identification (Re-ID) are mostly based o...
10/25/2019 ∙ by Qiaokang Xie, et al. ∙ 18 ∙ share

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Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction

Human motion prediction aims to generate future motions based on the obs...
09/29/2019 ∙ by Xiangbo Shu, et al. ∙ 0 ∙ share

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PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

Differentiable architecture search (DARTS) provided a fast solution in f...
07/12/2019 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations

Learning Transformation Equivariant Representations (TERs) seeks to capt...
06/19/2019 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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Differential Recurrent Neural Network and its Application for Human Activity Recognition

The Long Short-Term Memory (LSTM) recurrent neural network is capable of...
05/09/2019 ∙ by Naifan Zhuang, et al. ∙ 0 ∙ share

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Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

Small data challenges have emerged in many learning problems, since the ...
03/27/2019 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations

The learning of Transformation-Equivariant Representations (TERs), which...
03/23/2019 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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Learning to Adaptively Scale Recurrent Neural Networks

Recent advancements in recurrent neural network (RNN) research have demo...
02/15/2019 ∙ by Hao Hu, et al. ∙ 0 ∙ share

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AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data

The success of deep neural networks often relies on a large amount of la...
01/14/2019 ∙ by Liheng Zhang, et al. ∙ 0 ∙ share

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Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval

Hashing has been widely applied to multimodal retrieval on large-scale m...
01/09/2019 ∙ by Lu Jin, et al. ∙ 14 ∙ share

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Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

In this paper, we aim to address the problem of human interaction recogn...
11/01/2018 ∙ by Xiangbo Shu, et al. ∙ 10 ∙ share

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A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads

Asking effective questions is a powerful social skill. In this paper we ...
05/25/2018 ∙ by Kristjan Arumae, et al. ∙ 0 ∙ share

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Task-Agnostic Meta-Learning for Few-shot Learning

Meta-learning approaches have been proposed to tackle the few-shot learn...
05/20/2018 ∙ by Muhammad Abdullah Jamal, et al. ∙ 0 ∙ share

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CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces

In this paper, we formalize the idea behind capsule nets of using a caps...
05/19/2018 ∙ by Liheng Zhang, et al. ∙ 0 ∙ share

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Deep Ordinal Hashing with Spatial Attention

Hashing has attracted increasing research attentions in recent years due...
05/07/2018 ∙ by Lu Jin, et al. ∙ 0 ∙ share

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Sharp Attention Network via Adaptive Sampling for Person Re-identification

In this paper, we present novel sharp attention networks by adaptively s...
05/07/2018 ∙ by Chen Shen, et al. ∙ 0 ∙ share

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IGCV2: Interleaved Structured Sparse Convolutional Neural Networks

In this paper, we study the problem of designing efficient convolutional...
04/17/2018 ∙ by Guotian Xie, et al. ∙ 0 ∙ share

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Deep Differential Recurrent Neural Networks

Due to the special gating schemes of Long Short-Term Memory (LSTM), LSTM...
04/11/2018 ∙ by Naifan Zhuang, et al. ∙ 0 ∙ share

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Global versus Localized Generative Adversarial Nets

In this paper, we present a novel localized Generative Adversarial Net (...
11/16/2017 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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Interleaved Group Convolutions for Deep Neural Networks

In this paper, we present a simple and modularized neural network archit...
07/10/2017 ∙ by Ting Zhang, et al. ∙ 0 ∙ share

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Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...
06/03/2017 ∙ by Xiangbo Shu, et al. ∙ 0 ∙ share

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Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes

In this paper, we present a label transfer model from texts to images fo...
03/22/2017 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

*New Theory Result* We analyze the generalizability of the LS-GAN, showi...
01/23/2017 ∙ by Guo-Jun Qi, et al. ∙ 0 ∙ share

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First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos

With the prevalence of the commodity depth cameras, the new paradigm of ...
06/06/2015 ∙ by Jun Ye, et al. ∙ 0 ∙ share

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Differential Recurrent Neural Networks for Action Recognition

The long short-term memory (LSTM) neural network is capable of processin...
04/25/2015 ∙ by Vivek Veeriah, et al. ∙ 0 ∙ share

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Guo-Jun Qi

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