PPaperPicks

Tao Dai

Shenzhen University, Shenzhen, China

44 papers at tracked venues · 34 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
  2. Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
  3. 3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
  4. Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
  5. Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
  6. CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
  7. Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression
  8. DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
    AAAI 2025 · Tao Dai
  9. DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
    IJCAI 2025 · Tao Dai
  10. Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
  11. Efficient Differentiable Approximation of Generalized Low-rank Regularization
  12. Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
  13. EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
  14. Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning
  15. FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning
  16. GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
    AAAI 2025 · Tao Dai
  17. IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
  18. MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns
  19. MambaIRv2: Attentive State Space Restoration
  20. PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
  21. Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
  22. Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
  23. Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
  24. TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
  25. TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
  26. BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
  27. Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
  28. CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
  29. DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
    NeurIPS 2024 · Tao Dai
  30. FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
    IJCAI 2024 · Tao Dai
  31. GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
  32. Invertible Residual Rescaling Models
  33. LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
  34. Large Point-to-Gaussian Model for Image-to-3D Generation
  35. MambaIR: A Simple Baseline for Image Restoration with State-Space Model
  36. Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
  37. Periodicity Decoupling Framework for Long-term Series Forecasting
    ICLR 2024 · Tao Dai
  38. Procedural Level Generation with Diffusion Models from a Single Example
  39. RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
  40. ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
  41. Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
  42. Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
  43. Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
  44. Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding