Daniel Stanley Tan

Orcid: 0000-0002-8071-9060

According to our database1, Daniel Stanley Tan authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation.
CoRR, 2024

2023
<i>MACnet</i>: Mask augmented counting network for class-agnostic counting.
Pattern Recognit. Lett., May, 2023

MCGAN: mask controlled generative adversarial network for image retargeting.
Neural Comput. Appl., May, 2023

ConCoNet: Class-agnostic counting with positive and negative exemplars.
Pattern Recognit. Lett., 2023

Pair-wise selective classification with dynamic sampling for shipment importer prediction.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Language Modeling in Logistics: Customer Calling Prediction.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Controllable and Identity-Aware Facial Attribute Transformation.
IEEE Trans. Cybern., 2022

CLIPCAM: A Simple Baseline For Zero-Shot Text-Guided Object And Action Localization.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Enabling Artistic Control Over Pattern Density and Stroke Strength.
IEEE Trans. Multim., 2021

Neural Style Palette: A Multimodal and Interactive Style Transfer From a Single Style Image.
IEEE Trans. Multim., 2021

Incremental Learning of Multi-Domain Image-to-Image Translations.
IEEE Trans. Circuits Syst. Video Technol., 2021

Perspective Preserving Style Transfer for Interior Portraits.
IEEE Access, 2021

TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Naturalistic Physical Adversarial Patch for Object Detectors.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Photobomb Defusal Expert: Automatically Remove Distracting People From Photos.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Domain Adaptation With Foreground/Background Cues and Gated Discriminators.
IEEE Multim., 2020

Super-Resolution by Image Enhancement Using Texture Transfer.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Single-Image Depth Inference Using Generative Adversarial Networks.
Sensors, 2019

Depth Map Upsampling via Multi-Modal Generative Adversarial Network.
Sensors, 2019

Faster, Smaller, and Simpler Model for Multiple Facial Attributes Transformation.
IEEE Access, 2019

3D Object Completion via Class-Conditional Generative Adversarial Network.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Adapting Semantic Segmentation of Urban Scenes via Mask-Aware Gated Discriminator.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Layout and Context Understanding for Image Synthesis with Scene Graphs.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Segmenting Hepatic Lesions Using Residual Attention U-Net with an Adaptive Weighted Dice Loss.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Spatially-Aware Domain Adaptation for Semantic Segmentation of Urban Scenes.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Single-Fusion Detector: Towards Faster Multi-Scale Object Detection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
DeepDemosaicking: Adaptive Image Demosaicking via Multiple Deep Fully Convolutional Networks.
IEEE Trans. Image Process., 2018

Interactive Style Transfer: Towards Styling User-Specified Object.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

ZipNet: ZFNet-level Accuracy with 48× Fewer Parameters.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

Pedestrian Detection from Lidar Data via Cooperative Deep and Hand-Crafted Features.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


  Loading...