Nanyang Technological University

∙ Singapore , Singapore ∙ 0 followers

Jump start your future at Nanyang Technological University (NTU Singapore), ranked 11th globally and the world's top young university.

Featured Researchers

Yang Liu
321 publications
Dacheng Tao
234 publications
Hao Wang
129 publications
Wei Li
128 publications
Dusit Niyato
115 publications
Ting Liu
108 publications
Jian Zhang
107 publications
Jun Zhao
97 publications
Chen Change Loy
95 publications
Jie Chen
93 publications
Yang Zhang
91 publications

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Visual Commonsense R-CNN

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Feature Pyramid Transformer

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Building Ethics into Artificial Intelligence

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

read it
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

read it
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

read it
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

read it
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

read it
Knowledge Distillation Meets Self-Supervision

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

read it
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

read it
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Visual object detection is a computer vision-based artificial intelligen...
01/17/2020 ∙ by Yang Liu, et al. ∙ 13 ∙ share

read it