Nanyang Technological University

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DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers

In this paper, we address the few-shot classification task from a new pe...
03/15/2020 ∙ by Chi Zhang, et al. ∙ 63 ∙ share

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TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation

Unsupervised image-to-image translation aims at learning a mapping betwe...
04/21/2019 ∙ by Wayne Wu, et al. ∙ 48 ∙ share

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An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

This paper introduces a new learning-based approach for approximately so...
06/04/2019 ∙ by Chaitanya K. Joshi, et al. ∙ 46 ∙ share

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Residual Knowledge Distillation

Knowledge distillation (KD) is one of the most potent ways for model com...
02/21/2020 ∙ by Mengya Gao, et al. ∙ 34 ∙ share

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Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

Emotion is intrinsic to humans and consequently emotion understanding is...
05/08/2019 ∙ by Soujanya Poria, et al. ∙ 32 ∙ share

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Interaction Relational Network for Mutual Action Recognition

Person-person mutual action recognition (also referred to as interaction...
10/11/2019 ∙ by Mauricio Perez, et al. ∙ 30 ∙ share

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Deep Network Interpolation for Continuous Imagery Effect Transition

Deep convolutional neural network has demonstrated its capability of lea...
11/26/2018 ∙ by Xintao Wang, et al. ∙ 29 ∙ share

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Pluralistic Image Completion

Most image completion methods produce only one result for each masked in...
03/11/2019 ∙ by Chuanxia Zheng, et al. ∙ 28 ∙ share

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Everybody's Talkin': Let Me Talk as You Want

We present a method to edit a target portrait footage by taking a sequen...
01/15/2020 ∙ by Linsen Song, et al. ∙ 28 ∙ share

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What it Thinks is Important is Important: Robustness Transfers through Input Gradients

Adversarial perturbations are imperceptible changes to input pixels that...
12/11/2019 ∙ by Alvin Chan, et al. ∙ 27 ∙ share

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Visual Commonsense R-CNN

We present a novel unsupervised feature representation learning method, ...
02/27/2020 ∙ by Tan Wang, et al. ∙ 26 ∙ share

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Spatial Fusion GAN for Image Synthesis

Recent advances in generative adversarial networks (GANs) have shown gre...
12/14/2018 ∙ by Fangneng Zhan, et al. ∙ 25 ∙ share

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Threats to Federated Learning: A Survey

With the emergence of data silos and popular privacy awareness, the trad...
03/04/2020 ∙ by Lingjuan Lyu, et al. ∙ 25 ∙ share

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Learning to Cluster Faces via Confidence and Connectivity Estimation

Face clustering is an essential tool for exploiting the unlabeled face d...
04/01/2020 ∙ by Lei Yang, et al. ∙ 25 ∙ share

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Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Since edge device failures (i.e., anomalies) seriously affect the produc...
07/19/2020 ∙ by YI LIU, et al. ∙ 25 ∙ share

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Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning

Model-Based Reinforcement Learning (MBRL) is one category of Reinforceme...
04/23/2019 ∙ by Linsen Dong, et al. ∙ 24 ∙ share

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Fine-Grained Instance-Level Sketch-Based Video Retrieval

Existing sketch-analysis work studies sketches depicting static objects ...
02/21/2020 ∙ by Peng Xu, et al. ∙ 23 ∙ share

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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...
03/25/2019 ∙ by Lei Zhang, et al. ∙ 22 ∙ share

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CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation

We analyze clouds in the earth's atmosphere using ground-based sky camer...
04/16/2019 ∙ by Soumyabrata Dev, et al. ∙ 22 ∙ share

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DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

In this paper, we present our on-going effort of constructing a large-sc...
01/09/2020 ∙ by Liming Jiang, et al. ∙ 22 ∙ share

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AI-GAN: Attack-Inspired Generation of Adversarial Examples

Adversarial examples that can fool deep models are mainly crafted by add...
02/06/2020 ∙ by Tao Bai, et al. ∙ 21 ∙ share

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Learning to Compose Dynamic Tree Structures for Visual Contexts

We propose to compose dynamic tree structures that place the objects in ...
12/05/2018 ∙ by Kaihua Tang, et al. ∙ 20 ∙ share

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Region Proposal by Guided Anchoring

Region anchors are the cornerstone of modern object detection techniques...
01/10/2019 ∙ by Jiaqi Wang, et al. ∙ 20 ∙ share

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Large Margin Multi-modal Multi-task Feature Extraction for Image Classification

The features used in many image analysis-based applications are frequent...
04/08/2019 ∙ by Yong Luo, et al. ∙ 20 ∙ share

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Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regressi...
12/09/2019 ∙ by Jiaqi Wang, et al. ∙ 20 ∙ share

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Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Backtracking search algorithms are often used to solve the Constraint Sa...
12/23/2019 ∙ by Wen Song, et al. ∙ 20 ∙ share

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Deep Robust Multilevel Semantic Cross-Modal Hashing

Hashing based cross-modal retrieval has recently made significant progre...
02/07/2020 ∙ by Ge Song, et al. ∙ 20 ∙ share

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Single Image Deraining: From Model-Based to Data-Driven and Beyond

Rain removal or deraining methods attempt to restore the clean backgroun...
12/16/2019 ∙ by Wenhan Yang, et al. ∙ 19 ∙ share

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TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...
03/31/2020 ∙ by Zhuoqian Yang, et al. ∙ 19 ∙ share

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Quantifying Explainability of Saliency Methods in Deep Neural Networks

One way to achieve eXplainable artificial intelligence (XAI) is through ...
09/07/2020 ∙ by Erico Tjoa, et al. ∙ 19 ∙ share

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Easy Transfer Learning By Exploiting Intra-domain Structures

Transfer learning aims at transferring knowledge from a well-labeled dom...
04/02/2019 ∙ by Jindong Wang, et al. ∙ 18 ∙ share

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Kervolutional Neural Networks

Convolutional neural networks (CNNs) have enabled the state-of-the-art p...
04/08/2019 ∙ by Chen Wang, et al. ∙ 18 ∙ share

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Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...
07/18/2020 ∙ by Dong Zhang, et al. ∙ 18 ∙ share

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TSIT: A Simple and Versatile Framework for Image-to-Image Translation

We introduce a simple and versatile framework for image-to-image transla...
07/23/2020 ∙ by Liming Jiang, et al. ∙ 17 ∙ share

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Balanced Meta-Softmax for Long-Tailed Visual Recognition

Deep classifiers have achieved great success in visual recognition. Howe...
07/21/2020 ∙ by Jiawei Ren, et al. ∙ 17 ∙ share

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Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences

Learning a matching function between two text sequences is a long standi...
10/06/2018 ∙ by Yi Tay, et al. ∙ 16 ∙ share

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Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

Spatial-temporal prediction is a fundamental problem for constructing sm...
01/24/2019 ∙ by Huaxiu Yao, et al. ∙ 16 ∙ share

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DEVDAN: Deep Evolving Denoising Autoencoder

The Denoising Autoencoder (DAE) enhances the flexibility of the data str...
10/08/2019 ∙ by Andri Ashfahani, et al. ∙ 16 ∙ share

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Jacobian Adversarially Regularized Networks for Robustness

Adversarial examples are crafted with imperceptible perturbations with t...
12/21/2019 ∙ by Alvin Chan, et al. ∙ 15 ∙ share

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Real or Not Real, that is the Question

While generative adversarial networks (GAN) have been widely adopted in ...
02/12/2020 ∙ by Yuanbo Xiangli, et al. ∙ 15 ∙ share

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Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation

Accurate segmentation of skin lesion from dermoscopic images is a crucia...
02/20/2020 ∙ by Xiaohong Wang, et al. ∙ 15 ∙ share

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Recursive Visual Attention in Visual Dialog

Visual dialog is a challenging vision-language task, which requires the ...
12/06/2018 ∙ by Yulei Niu, et al. ∙ 14 ∙ share

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Building Ethics into Artificial Intelligence

As artificial intelligence (AI) systems become increasingly ubiquitous, ...
12/07/2018 ∙ by Han Yu, et al. ∙ 14 ∙ share

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Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain

The goal of transfer learning is to improve the performance of target le...
04/08/2019 ∙ by Yong Luo, et al. ∙ 14 ∙ share

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Deep Flow-Guided Video Inpainting

Video inpainting, which aims at filling in missing regions of a video, r...
05/08/2019 ∙ by Rui Xu, et al. ∙ 14 ∙ share

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GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition

Recent adversarial learning research has achieved very impressive progre...
07/23/2019 ∙ by Fangneng Zhan, et al. ∙ 14 ∙ share

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Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

Cross-modal food retrieval is an important task to perform analysis of f...
03/09/2020 ∙ by Hao Wang, et al. ∙ 14 ∙ share

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Knowledge Distillation Meets Self-Supervision

Knowledge distillation, which involves extracting the "dark knowledge" f...
06/12/2020 ∙ by Guodong Xu, et al. ∙ 14 ∙ share

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Transfer Metric Learning: Algorithms, Applications and Outlooks

Distance metric learning (DML) aims to find an appropriate way to reveal...
10/09/2018 ∙ by Yong Luo, et al. ∙ 13 ∙ share

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Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning

Customer services are critical to all companies, as they may directly co...
11/24/2019 ∙ by Zining Liu, et al. ∙ 13 ∙ share

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