Tao Dai
55 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (9)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Academic Marathon
(8)
π
Grand Slam
π€
Dynamic Duo
(45)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π
Trend Setter
ποΈ
Keyword Collector
(252)
β‘
Prolific Year
(16)
π
Century Club
(53)
π₯
Unstoppable
(9)
Conferences
AAAI (17)
IJCAI (12)
CVPR (6)
ICCV (5)
NIPS (5)
ICML (4)
ECCV (3)
ICLR (2)
ACL (1)
Top co-authors
Keywords
point cloud
(7)
image restoration
(6)
diffusion model
(5)
transfer learning
(5)
image generation
(3)
image super-resolution
(3)
vision-language model
(3)
large language model
(3)
knowledge distillation
(3)
time series forecasting
(3)
neural network
(3)
3d vision
(2)
channel attention
(2)
model architecture
(2)
outlier detection
(2)
attention mechanism
(2)
image retrieval
(2)
self-supervised learning
(2)
domain adaptation
(2)
representation learning
(2)
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
MambaIRv2: Attentive State Space Restoration
CVPR 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
CVPR 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
IJCAI 2025
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
IJCAI 2025
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
ICML 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
ICCV 2025
Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression
ICCV 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
IJCAI 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization
IJCAI 2025
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
AAAI 2025
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
AAAI 2025
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
AAAI 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
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
ICML 2025
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
ICML 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
CVPR 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
NIPS 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NIPS 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
NIPS 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
NIPS 2024
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
NIPS 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
AAAI 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
Procedural Level Generation with Diffusion Models from a Single Example
AAAI 2024
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
ECCV 2024
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
ECCV 2024
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
ICLR 2024
Periodicity Decoupling Framework for Long-term Series Forecasting
ICLR 2024
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
IJCAI 2024
Invertible Residual Rescaling Models
IJCAI 2024
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
IJCAI 2024
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
IJCAI 2024
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
ICCV 2023
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
IJCAI 2023
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
AAAI 2023
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks
AAAI 2023
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
AAAI 2023
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
ICCV 2023
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer
ECCV 2022
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
AAAI 2022
Knowledge Refinery: Learning from Decoupled Label
AAAI 2021
Adversarial Attack on Deep Product Quantization Network for Image Retrieval
AAAI 2020
Hilbert-Based Generative Defense for Adversarial Examples
ICCV 2019
Automatic Grassland Degradation Estimation Using Deep Learning
IJCAI 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