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zef1611/README.md

Hi, I'm Huy 👋

Master's student at Mila – Quebec AI Institute and University of Montreal.

-🌱 Previous journey: AI Research Resident at FPT Software AI Center (AIC), AI Engineer at Data & AI Lab (DAL), VNG Corporation.

🔭 Research Interests

  • Multimodal Models Reasoning & Understanding: Multimodal Alignment, Representation Learning, Structured Representation, Compositional Reasoning, and Fine-grained Understanding.

  • Resource-efficient Models: Parameter-Efficient Fine-Tuning (PEFT) (Efficient Training), Distilled/Small Models (Efficient Inference), Token Merging/Pruning (Efficient Input).

  • Multimodal Models Generation: Embodied Agent, Multimodal Chatbot, Visual Programming.

My current research experience comprises of Intelligent Surveillance Systems, Image/Video Understanding, Multimodal Learning and PEFT including:

  • [2023-Present] Efficient Cross-Modal Learning & Understanding: Video-Language Matching, Parameter-Efficient Fine-Tuning (PEFT), Multimodal Compositionality, Structured Representation (Scene Graph Generation).

  • [2021-2023] Intelligent Industrial/Traffic Systems Applications: Tracked-Vehicle to Video Retrieval, Person/Vehicle Re-Identification, Person/Vehicle Tracking, Face Recognition/Verification.

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  1. AIC23_NLRetrieval_HCMIU_CVIP AIC23_NLRetrieval_HCMIU_CVIP Public

    Official codes of the 🏆 1st place for The NVIDIA AI City Challenge 2023 - Track 2

    Python 19 10

  2. nguyenquivinhquang/Multi-camera-People-Tracking-With-Mixture-of-Realistic-and-Synthetic-Knowledge nguyenquivinhquang/Multi-camera-People-Tracking-With-Mixture-of-Realistic-and-Synthetic-Knowledge Public

    Official codes of the second place for The AI City Challenge 2023 Track 1

    Python 70 18