Teng Fu

Orcid: 0009-0009-8413-2185

Affiliations:
  • Fudan University, Shanghai, China


According to our database1, Teng Fu authored at least 15 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DocCogito: Aligning Layout Cognition and Step-Level Grounded Reasoning for Document Understanding.
CoRR, March, 2026

FDGReID: Federated Domain Generalization for Person Re-identification.
Mach. Learn., January, 2026

From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning.
CoRR, August, 2025

Interpretable Oracle Bone Script Decipherment through Radical and Pictographic Analysis with LVLMs.
CoRR, August, 2025

CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios.
CoRR, July, 2025

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning.
CoRR, May, 2025

Synthesizing efficient data with diffusion models for person re-identification pre-training.
Mach. Learn., March, 2025

CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ChatReID: Open-Ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
EAFormer: Scene Text Segmentation with Edge-Aware Transformers.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023


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