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Ming Tang

Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China

22 papers at tracked venues · 17 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection
  2. GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models
  3. Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
  4. Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection
  5. Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
  6. FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records
  7. FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
  8. Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring
  9. LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning
  10. MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing
  11. PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
  12. PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability
  13. Referring Expression Instance Retrieval and A Strong End-to-End Baseline
  14. Systematic Outliers in Large Language Models
  15. UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
  16. AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
  17. FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
  18. Fluctuation-Based Adaptive Structured Pruning for Large Language Models
  19. Griffon: Spelling Out All Object Locations at Any Granularity with Large Language Models
  20. SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
  21. Self-Supervised Representation Learning from Arbitrary Scenarios
  22. The BRAVO Semantic Segmentation Challenge Results in UNCV2024