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Tao Dai

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

21

papers

477

total citations

papers (21)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

MambaIRv2: Attentive State Space Restoration

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting

Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark

FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning

Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution

Procedural Level Generation with Diffusion Models from a Single Example

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models

Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning

GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud

Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression

NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer

Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model

Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception