Nanyang Technological University

research

∙ 12/27/2021

Multimodal Image Synthesis and Editing: A Survey

As information exists in various modalities in real world, effective int...

Fangneng Zhan, et al. ∙

research

∙ 03/15/2020

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...

Chi Zhang, et al. ∙

research

∙ 10/29/2021

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Mental health is a critical issue in modern society, and mental disorder...

Shaoxiong Ji, et al. ∙

research

∙ 04/21/2019

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

Unsupervised image-to-image translation aims at learning a mapping betwe...

Wayne Wu, et al. ∙

research

∙ 06/04/2019

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

This paper introduces a new learning-based approach for approximately so...

Chaitanya K. Joshi, et al. ∙

research

∙ 02/12/2022

What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?

Self-supervised learning establishes a new paradigm of learning represen...

Hangwei Qian, et al. ∙

research

∙ 02/21/2020

Residual Knowledge Distillation

Knowledge distillation (KD) is one of the most potent ways for model com...

Mengya Gao, et al. ∙

research

∙ 05/08/2019

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

Emotion is intrinsic to humans and consequently emotion understanding is...

Soujanya Poria, et al. ∙

research

∙ 10/11/2019

Interaction Relational Network for Mutual Action Recognition

Person-person mutual action recognition (also referred to as interaction...

Mauricio Perez, et al. ∙

research

∙ 11/26/2018

Deep Network Interpolation for Continuous Imagery Effect Transition

Deep convolutional neural network has demonstrated its capability of lea...

Xintao Wang, et al. ∙

research

∙ 03/11/2019

Pluralistic Image Completion

Most image completion methods produce only one result for each masked in...

Chuanxia Zheng, et al. ∙

research

∙ 07/30/2022

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

Few-shot object detection has been extensively investigated by incorpora...

Gongjie Zhang, et al. ∙

research

∙ 01/15/2020

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

We present a method to edit a target portrait footage by taking a sequen...

Linsen Song, et al. ∙

research

∙ 12/13/2021

Semantically Contrastive Learning for Low-light Image Enhancement

Low-light image enhancement (LLE) remains challenging due to the unfavor...

Dong Liang, et al. ∙

research

∙ 12/11/2019

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

Adversarial perturbations are imperceptible changes to input pixels that...

Alvin Chan, et al. ∙

research

∙ 12/10/2021

CityNeRF: Building NeRF at City Scale

Neural Radiance Field (NeRF) has achieved outstanding performance in mod...

Yuanbo Xiangli, et al. ∙

research

∙ 02/27/2020

Visual Commonsense R-CNN

We present a novel unsupervised feature representation learning method, ...

Tan Wang, et al. ∙

research

∙ 08/11/2021

Few-Shot Segmentation with Global and Local Contrastive Learning

In this work, we address the challenging task of few-shot segmentation. ...

Weide Liu, et al. ∙

research

∙ 12/14/2018

Spatial Fusion GAN for Image Synthesis

Recent advances in generative adversarial networks (GANs) have shown gre...

Fangneng Zhan, et al. ∙

research

∙ 03/04/2020

Threats to Federated Learning: A Survey

With the emergence of data silos and popular privacy awareness, the trad...

Lingjuan Lyu, et al. ∙

research

∙ 04/01/2020

Learning to Cluster Faces via Confidence and Connectivity Estimation

Face clustering is an essential tool for exploiting the unlabeled face d...

Lei Yang, et al. ∙

research

∙ 07/19/2020

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...

YI LIU, et al. ∙

research

∙ 10/28/2021

V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing

Given the significant amount of time people spend in vehicles, health is...

Tianyue Zheng, et al. ∙

research

∙ 04/23/2019

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

Model-Based Reinforcement Learning (MBRL) is one category of Reinforceme...

Linsen Dong, et al. ∙

research

∙ 11/24/2021

Investigating Tradeoffs in Real-World Video Super-Resolution

The diversity and complexity of degradations in real-world video super-r...

Kelvin C. K. Chan, et al. ∙

research

∙ 03/03/2022

TCTrack: Temporal Contexts for Aerial Tracking

Temporal contexts among consecutive frames are far from being fully util...

Ziang Cao, et al. ∙

research

∙ 02/21/2020

Fine-Grained Instance-Level Sketch-Based Video Retrieval

Existing sketch-analysis work studies sketches depicting static objects ...

Peng Xu, et al. ∙

research

∙ 08/04/2021

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization

Retinal vessel segmentation plays a key role in computer-aided screening...

Wei Feng, et al. ∙

research

∙ 03/25/2019

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...

Lei Zhang, et al. ∙

research

∙ 04/16/2019

CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation

We analyze clouds in the earth's atmosphere using ground-based sky camer...

Soumyabrata Dev, et al. ∙

research

∙ 01/09/2020

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...

Liming Jiang, et al. ∙

research

∙ 02/06/2020

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Adversarial examples that can fool deep models are mainly crafted by add...

Tao Bai, et al. ∙

research

∙ 08/13/2021

SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments

Recent advancements in deep learning, computer vision, and embodied AI h...

Jiafei Duan, et al. ∙

research

∙ 10/15/2021

Graph Neural Networks with Learnable Structural and Positional Representations

Graph neural networks (GNNs) have become the standard learning architect...

Vijay Prakash Dwivedi, et al. ∙

research

∙ 12/05/2018

Learning to Compose Dynamic Tree Structures for Visual Contexts

We propose to compose dynamic tree structures that place the objects in ...

Kaihua Tang, et al. ∙

research

∙ 01/10/2019

Region Proposal by Guided Anchoring

Region anchors are the cornerstone of modern object detection techniques...

Jiaqi Wang, et al. ∙

research

∙ 04/08/2019

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

The features used in many image analysis-based applications are frequent...

Yong Luo, et al. ∙

research

∙ 12/09/2019

Side-Aware Boundary Localization for More Precise Object Detection

Current object detection frameworks mainly rely on bounding box regressi...

Jiaqi Wang, et al. ∙

research

∙ 12/23/2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Backtracking search algorithms are often used to solve the Constraint Sa...

Wen Song, et al. ∙

research

∙ 02/07/2020

Deep Robust Multilevel Semantic Cross-Modal Hashing

Hashing based cross-modal retrieval has recently made significant progre...

Ge Song, et al. ∙

research

∙ 12/16/2019

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

Rain removal or deraining methods attempt to restore the clean backgroun...

Wenhan Yang, et al. ∙

research

∙ 03/31/2020

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting

We present a lightweight video motion retargeting approach TransMoMo tha...

Zhuoqian Yang, et al. ∙

research

∙ 09/07/2020

Quantifying Explainability of Saliency Methods in Deep Neural Networks

One way to achieve eXplainable artificial intelligence (XAI) is through ...

Erico Tjoa, et al. ∙

research

∙ 04/02/2019

Easy Transfer Learning By Exploiting Intra-domain Structures

Transfer learning aims at transferring knowledge from a well-labeled dom...

Jindong Wang, et al. ∙

research

∙ 04/08/2019

Kervolutional Neural Networks

Convolutional neural networks (CNNs) have enabled the state-of-the-art p...

Chen Wang, et al. ∙

research

∙ 07/18/2020

Feature Pyramid Transformer

Feature interactions across space and scales underpin modern visual reco...

Dong Zhang, et al. ∙

research

∙ 08/04/2021

Reconstructing a dynamical system and forecasting time series by self-consistent deep learning

We introduce a self-consistent deep-learning framework which, for a nois...

Zhe Wang, et al. ∙

research

∙ 04/10/2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

This paper presents Video K-Net, a simple, strong, and unified framework...

Xiangtai Li, et al. ∙

research

∙ 07/23/2020

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

We introduce a simple and versatile framework for image-to-image transla...

Liming Jiang, et al. ∙

research

∙ 07/21/2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition

Deep classifiers have achieved great success in visual recognition. Howe...

Jiawei Ren, et al. ∙

Nanyang Technological University

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