PPaperPicks

Xin Li

University at Albany, NY, USA

20 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
  2. SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network
  3. A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations Using Semantic Significance
  4. Beyond Visual Quality: Fidelity-Oriented Diffusion Model for Real-world Image Super-Resolution
  5. Exploring Global Correlations via Polarity Memory for Multispectral Demosaicing
  6. Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
  7. Parameterized Blur Kernel Prior Learning for Local Motion Deblurring
  8. PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing
  9. RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
  10. TPDepth: Leveraging Text Prompts with ControlNet to Boost Diffusion-based Depth Estimation
  11. Training-Free Image Manipulation Localization Using Diffusion Models
  12. CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
  13. Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
  14. Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
    NeurIPS 2024 · Xin Li
  15. Image Manipulation Detection with Implicit Neural Representation and Limited Supervision
  16. Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding
  17. Inverse Weight-Balancing for Deep Long-Tailed Learning
  18. MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
  19. Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
  20. SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking