Chee Seng Chan

research

∙ 08/31/2023

Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack

The vulnerabilities to backdoor attacks have recently threatened the tru...

0 Sze Jue Yang, et al. ∙

research

∙ 02/15/2023

Unsupervised Hashing via Similarity Distribution Calibration

Existing unsupervised hashing methods typically adopt a feature similari...

0 Kam Woh Ng, et al. ∙

research

∙ 10/03/2022

An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks

Capitalise on deep learning models, offering Natural Language Processing...

0 Zhi Qin Tan, et al. ∙

research

∙ 04/01/2022

Extremely Low-light Image Enhancement with Scene Text Restoration

Deep learning-based methods have made impressive progress in enhancing e...

0 Pohao Hsu, et al. ∙

research

∙ 02/11/2022

ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning

Recent research that applies Transformer-based architectures to image ca...

12 Jia Huei Tan, et al. ∙

research

∙ 10/07/2021

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

With the advancement of deep models, research work on image captioning h...

2 Jia Huei Tan, et al. ∙

research

∙ 09/29/2021

One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

A deep hashing model typically has two main learning objectives: to make...

0 Jiun Tian Hoe, et al. ∙

research

∙ 07/12/2021

ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment

With hundreds of thousands of electronic chip components are being manuf...

0 Chun Chet Ng, et al. ∙

research

∙ 03/16/2021

Ternary Hashing

This paper proposes a novel ternary hash encoding for learning to hash m...

0 Chang Liu, et al. ∙

research

∙ 02/08/2021

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

Ever since Machine Learning as a Service (MLaaS) emerges as a viable bus...

15 Ding Sheng Ong, et al. ∙

research

∙ 08/25/2020

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection

By and large, existing Intellectual Property Right (IPR) protection on d...

2 Jian Han Lim, et al. ∙

research

∙ 06/20/2020

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks

This paper investigates capabilities of Privacy-Preserving Deep Learning...

19 Lixin Fan, et al. ∙

research

∙ 02/24/2020

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

Visual Question Answering (VQA) methods have made incredible progress, b...

12 Xinyu Wang, et al. ∙

research

∙ 09/17/2019

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling – RRC-LSVT

Robust text reading from street view images provides valuable informatio...

6 Yipeng Sun, et al. ∙

research

∙ 09/16/2019

Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

With the rapid development of deep neural networks (DNN), there emerges ...

4 Lixin Fan, et al. ∙

research

∙ 09/16/2019

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-S...

4 Chee Kheng Chng, et al. ∙

research

∙ 08/28/2019

Image Captioning with Sparse Recurrent Neural Network

Recurrent Neural Network (RNN) has been deployed as the de facto model t...

0 Jia Huei Tan, et al. ∙

research

∙ 05/10/2019

Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks

In order to prevent deep neural networks from being infringed by unautho...

0 Lixin Fan, et al. ∙

research

∙ 03/04/2019

COMIC: Towards A Compact Image Captioning Model with Attention

Recent works in image captioning have shown very promising raw performan...

4 Jia Huei Tan, et al. ∙

research

∙ 01/20/2019

A Universal Logic Operator for Interpretable Deep Convolution Networks

Explaining neural network computation in terms of probabilistic/fuzzy lo...

0 KamWoh Ng, et al. ∙

research

∙ 05/29/2018

Getting to Know Low-light Images with The Exclusively Dark Dataset

Low-light is an inescapable element of our daily surroundings that great...

0 Yuen Peng Loh, et al. ∙

research

∙ 11/11/2017

Phrase-based Image Captioning with Hierarchical LSTM Model

Automatic generation of caption to describe the content of an image has ...

0 Ying Hua Tan, et al. ∙

research

∙ 10/28/2017

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

Text in curve orientation, despite being one of the common text orientat...

0 Chee Kheng Chng, et al. ∙

research

∙ 08/20/2016

phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning

A picture is worth a thousand words. Not until recently, however, we not...

0 Ying Hua Tan, et al. ∙

research

∙ 11/20/2015

Crowd Behavior Analysis: A Review where Physics meets Biology

Although the traits emerged in a mass gathering are often non-deliberati...

0 Ven Jyn Kok, et al. ∙

research

∙ 06/28/2015

Deep-Plant: Plant Identification with convolutional neural networks

This paper studies convolutional neural networks (CNN) to learn unsuperv...

0 Sue Han Lee, et al. ∙

research

∙ 12/01/2014

Fuzzy human motion analysis: A review

Human Motion Analysis (HMA) is currently one of the most popularly activ...

0 Chern Hong Lim, et al. ∙

research

∙ 10/15/2014

Detection of Salient Regions in Crowded Scenes

The increasing number of cameras and a handful of human operators to mon...

0 Mei Kuan Lim, et al. ∙

research

∙ 10/14/2014

Crowd Saliency Detection via Global Similarity Structure

It is common for CCTV operators to overlook inter- esting events taking ...

0 Mei Kuan Lim, et al. ∙

research

∙ 10/14/2014

Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding

Image understanding is an important research domain in the computer visi...

0 Wai Lam Hoo, et al. ∙

research

∙ 10/14/2014

A Fusion Approach for Efficient Human Skin Detection

A reliable human skin detection method that is adaptable to different hu...

0 Wei Ren Tan, et al. ∙

research

∙ 10/14/2014

Zero-Shot Object Recognition System based on Topic Model

Object recognition systems usually require fully complete manually label...

0 Wai Lam Hoo, et al. ∙

research

∙ 10/14/2014

Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking

Conventional tracking solutions are not feasible in handling abrupt moti...

0 Mei Kuan Lim, et al. ∙

research

∙ 10/14/2014

Scene Image is Non-Mutually Exclusive - A Fuzzy Qualitative Scene Understanding

Ambiguity or uncertainty is a pervasive element of many real world decis...

0 Chern Hong Lim, et al. ∙

Chee Seng Chan

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