Tao Dai

Orcid: 0000-0003-0594-6404

Affiliations:
  • Shenzhen University, Shenzhen, China


According to our database1, Tao Dai authored at least 115 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

SpirDet: Toward Efficient, Accurate, and Lightweight Infrared Small-Target Detector.
IEEE Trans. Geosci. Remote. Sens., 2024

Pyramid hybrid pooling quantization for efficient fine-grained image retrieval.
Pattern Recognit. Lett., 2024

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation.
CoRR, 2024

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting.
CoRR, 2024

CLIP-Guided Networks for Transferable Targeted Attacks.
CoRR, 2024

Pre-training Point Cloud Compact Model with Partial-aware Reconstruction.
CoRR, 2024

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.
CoRR, 2024

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
CoRR, 2024

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting.
CoRR, 2024

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling.
CoRR, 2024

MambaVC: Learned Visual Compression with Selective State Spaces.
CoRR, 2024

GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval.
CoRR, 2024

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation.
CoRR, 2024

SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector.
CoRR, 2024

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Large Point-to-Gaussian Model for Image-to-3D Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Invertible Residual Rescaling Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Periodicity Decoupling Framework for Long-term Series Forecasting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting.
Proceedings of the IEEE International Conference on Acoustics, 2024

MambaIR: A Simple Baseline for Image Restoration with State-Space Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks.
Proceedings of the Computer Vision - ECCV 2024, 2024

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Procedural Level Generation with Diffusion Models from a Single Example.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient dual domain image denoising via SURE-based optimization.
Int. J. Mach. Learn. Cybern., December, 2023

Toward Effective Image Manipulation Detection With Proposal Contrastive Learning.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models.
CoRR, 2023

Perceptual Image Compression with Cooperative Cross-Modal Side Information.
CoRR, 2023

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
CoRR, 2023

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution.
Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SFR: Semantic-Aware Feature Rendering of Point Cloud.
Proceedings of the IEEE International Conference on Acoustics, 2023

Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling.
Proceedings of the IEEE International Conference on Acoustics, 2023

Difficulty-Aware Data Augmentor for Scene Text Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep image prior based defense against adversarial examples.
Pattern Recognit., 2022

Towards Effective Image Manipulation Detection with Proposal Contrastive Learning.
CoRR, 2022

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai.
CoRR, 2022

VLMAE: Vision-Language Masked Autoencoder.
CoRR, 2022

Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer.
CoRR, 2022

A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling.
CoRR, 2022

Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Context Feature Guided Network for Image Super-resolution.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Self-Ensemble Variance Regularization for Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2022

NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Correlation-based structural dropout for convolutional neural networks.
Pattern Recognit., 2021

S2A: Scale-Attention-Aware Networks for Video Super-Resolution.
Entropy, 2021

Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval.
CoRR, 2021

Mix-order Attention Networks for Image Restoration.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Knowledge Distillation via Channel Correlation Structure.
Proceedings of the Knowledge Science, Engineering and Management, 2021

EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution.
Proceedings of the International Joint Conference on Neural Networks, 2021

D2Defend: Dual-Domain based Defense against Adversarial Examples.
Proceedings of the International Joint Conference on Neural Networks, 2021

Attribute Structured Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Bishift-Net for Image Inpainting.
Proceedings of the IEEE International Conference on Acoustics, 2021

Class Aware Robust Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

Webly Supervised Deep Attentive Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2021

HOCA: Higher-Order Channel Attention for Single Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net.
Proceedings of the IEEE International Conference on Acoustics, 2021

Knowledge Refinery: Learning from Decoupled Label.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DPAttack: Diffused Patch Attacks against Universal Object Detection.
CoRR, 2020

JSRT: James-Stein Regression Tree.
CoRR, 2020

SAM: Self-Attention based Deep Learning Method for Online Traffic Classification.
Proceedings of the 2020 Workshop on Network Meets AI & ML, 2020

DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Generalized Local Aggregation for Large Scale Gaussian Process Regression.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Transferable Adversarial Attacks for Deep Scene Text Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Sample-aware Data Augmentor for Scene Text Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Progressive Splitting and Upscaling Structure for Super-Resolution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution.
Proceedings of the IEEE International Conference on Image Processing, 2020

Hrnet: Hamiltonian Rescaling Network for Image Downscaling.
Proceedings of the IEEE International Conference on Image Processing, 2020

Enhanced Image Restoration Via Supervised Target Feature Transfer.
Proceedings of the IEEE International Conference on Image Processing, 2020

Corrdrop: Correlation Based Dropout for Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adversarial Attack on Deep Product Quantization Network for Image Retrieval.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Automatic Grassland Degradation Estimation Using Deep Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Self-attentive Pyramid Network for Single Image De-raining.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Neural Style Transfer with Content Discrimination.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Attentiondrop for Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Image Super-Resolution via Residual Block Attention Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Hilbert-Based Generative Defense for Adversarial Examples.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Second-Order Attention Network for Single Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Binary Matrices for Compressed Sensing.
IEEE Trans. Signal Process., 2018

Referenceless quality metric of multiply-distorted images based on structural degradation.
Neurocomputing, 2018

Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Portrait-Aware Artistic Style Transfer.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Self -Paced Mixture of T Distribution Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sure-Based Dual Domain Image Denoising.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A New Guided Image Denoising by Principal Component Analysis with Local Pixel Grouping.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Content-Aware Bilateral Filtering.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017
Entropy-based bilateral filtering with a new range kernel.
Signal Process., 2017

A generic denoising framework via guided principal component analysis.
J. Vis. Commun. Image Represent., 2017

Student-t Process Regression with Student-t Likelihood.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Survey Aggregation with Student-t Distribution and Sparse Representation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Blind quality assessment of multiply-distorted images based on structural degradation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Foveated nonlocal dual denoising.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Compressed Sensing Performance of Binary Matrices with Binary Column Correlations.
Proceedings of the 2017 Data Compression Conference, 2017

2015
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

PMPA: A patch-based multiscale products algorithm for image denoising.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Deterministic constructions of binary measurement matrices with various sizes.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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