Tao Dai
55 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Deep Learning
(38)
Machine Learning
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Computer Vision
(29)
Analysis
(16)
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(16)
Artificial Intelligence
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Core Methods
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Keywords
point cloud
(7)
image restoration
(6)
transfer learning
(5)
diffusion model
(5)
time series forecasting
(5)
vision-language model
(4)
image super-resolution
(3)
neural network
(3)
knowledge distillation
(3)
image generation
(3)
large language model
(3)
model architecture
(2)
deep learning
(2)
3d vision
(2)
multimodal learning
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channel attention
(2)
self-supervised learning
(2)
representation learning
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attention mechanism
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domain adaptation
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Papers
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
AAAI 2026
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
AAAI 2026
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
ICML 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
AAAI 2025
Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression
ICCV 2025
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
AAAI 2025
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
AAAI 2025
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
IJCAI 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization
IJCAI 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
CVPR 2025
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
ICCV 2025
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
AAAI 2025
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
ICML 2025
MambaIRv2: Attentive State Space Restoration
CVPR 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
IJCAI 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
IJCAI 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
CVPR 2025
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
ICML 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
NeurIPS 2024
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
IJCAI 2024
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
ECCV 2024
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
NeurIPS 2024
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
IJCAI 2024
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
IJCAI 2024
Invertible Residual Rescaling Models
IJCAI 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
NeurIPS 2024
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
ECCV 2024
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
NeurIPS 2024
Periodicity Decoupling Framework for Long-term Series Forecasting
ICLR 2024
Procedural Level Generation with Diffusion Models from a Single Example
AAAI 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NeurIPS 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
AAAI 2024
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
ICLR 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks
AAAI 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
ICCV 2023
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
AAAI 2023
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
AAAI 2023
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
IJCAI 2023
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
ICCV 2023
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
AAAI 2022
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer
ECCV 2022
Knowledge Refinery: Learning from Decoupled Label
AAAI 2021
Adversarial Attack on Deep Product Quantization Network for Image Retrieval
AAAI 2020
Automatic Grassland Degradation Estimation Using Deep Learning
IJCAI 2019
Hilbert-Based Generative Defense for Adversarial Examples
ICCV 2019
Second-Order Attention Network for Single Image Super-Resolution
CVPR 2019
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization
ACL 2018
Robust Survey Aggregation with Student-t Distribution and Sparse Representation
IJCAI 2017
Student-t Process Regression with Student-t Likelihood
IJCAI 2017