← Authors

Tao Dai

55 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸƒ Academic Marathon (8) πŸ† Grand Slam 🀝 Dynamic Duo (45) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (252) ⚑ Prolific Year (16) πŸ’Ž Century Club (53) πŸ”₯ Unstoppable (9)

Conferences

AAAI (17) IJCAI (12) CVPR (6) ICCV (5) NIPS (5) ICML (4) ECCV (3) ICLR (2) ACL (1)

Top co-authors

Shu-Tao Xia (47) Bin Chen (19) Hang Guo (15) Yaohua Zha (12) Naiqi Li (11) Jinmin Li (8) Yong Jiang (8) Jinpeng Wang (7) Zhi Wang (7) Peiyuan Liu (7)

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