Tien-Toan Nguyen

/tjɛn-twan ŋwɪn/

I am an incoming CS Ph.D. student at the University of Southern California (Fight On!), co-advised by Prof. Yue Wang and Prof. Daniel Seita. I am currently an AI Resident at the FPT Software AI Center, working closely with Prof. Anh Nguyen. Previously, I graduated with a bachelor's degree in Computer Science at Ho Chi Minh City University of Science. These days, my research interest lies in the intersection of Robotics, Multimodal Learning, and Generative Modeling.

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News

  • 2024-12: I accept the CS Ph.D. offer from the University of Southern California for Fall 2025. I will work with Prof. Yue Wang and Prof. Daniel Seita! 🦾 🦿
  • 2024-12: I attend ACCV 2024, hosted in my home country. My beloved Hanoi! 🇻🇳 ⛩️
  • 2024-09: I attend ECCV 2024 in-person and give one oral and one poster presentation. Hello Milan! 🇮🇹 🤌
  • 2024-07: One paper on language-driven 6-DoF grasp detection gets accepted to ECCV 2024 as Oral presentation!!!
  • 2024-06: One paper on crowd navigation gets accepted to IROS 2024.
  • 2024-01: Two papers on text-based affordance-pose learning and open-vocab affordance detection get accepted to ICRA 2024.
  • 2023-09: One paper on language-driven scene synthesis gets accepted to NeurIPS 2023.
  • 2023-09: I attend IROS 2023 in-person and give one oral and one poster presentation. First time abroad, Hello Michigan!!! 🇺🇸 🌆
  • 2023-09: Our paper is nominated for best overall paper and best student paper awards at IROS 2023!!! This is a great honor!
  • 2023-06: One paper on open-vocabulary affordance detection gets accepted to IROS 2023.
  • Publications

    * indicates equal contribution

    Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance
    Tien Toan Nguyen, Minh Nhat Vu, Baoru Huang, An Vuong, Quan Vuong, Dung Nguyen, Ngan Le, Thieu Vo, Anh Nguyen
    European Conference on Computer Vision (ECCV), 2024, Oral
    [arXiv] [Project] [Code]

    We introduce a novel diffusion model incorporating the new concept of negative prompt guidance learning to tackle the task of 6-DoF grasp detection in cluttered point clouds.

    dise HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
    An Vuong, Tien Toan Nguyen, Minh Nhat Vu, Baoru Huang, Dung Nguyen, Binh Huynh, Thieu Vo, Anh Nguyen
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    [arXiv] [Project] [Code]

    We introduce HabiCrowd, a new dataset and benchmark for crowd-aware visual navigation that surpasses other benchmarks in terms of human diversity and computational utilization.

    dise Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
    Tien Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Vo, Vy Truong, Ngan Le, Thieu Vo, Bac Le, Anh Nguyen
    IEEE International Conference on Robotics and Automation (ICRA), 2024
    [arXiv] [Project] [Code]

    We address the task of language-driven affordance-pose detection in 3D point clouds. Our method simultaneously detect open-vocabulary affordances and generate affordance-specific 6-DoF poses.

    dise Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation
    Tuan Vo, Minh Nhat Vu, Baoru Huang, Tien Toan Nguyen, Ngan Le, Thieu Vo, Anh Nguyen
    IEEE International Conference on Robotics and Automation (ICRA), 2024
    [arXiv] [Code]

    We introduce a new open-vocabulary affordance detection method using knowledge distillation and text-point correlation.

    Language-Driven Scene Synthesis Using Multi-Conditional Diffusion Model
    An Vuong, Minh Nhat Vu, Tien Toan Nguyen, Baoru Huang, Dung Nguyen, Thieu Vo, Anh Nguyen
    Conference on Neural Information Processing Systems (NeurIPS), 2023
    [arXiv] [Project] [Code]

    We introduce Language-Driven Scene Synthesis task, which involves the leverage of human-input text prompts to generate physically plausible and semantically reasonable objects.

    dise Open-Vocabulary Affordance Detection in 3D Point Clouds
    Tien Toan Nguyen, Minh Nhat Vu, An Vuong, Dung Nguyen, Thieu Vo, Ngan Le, Anh Nguyen
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, Best Overall & Best Student Paper Awards Finalist
    [arXiv] [Project] [Code]

    Our method detects potentially unlimited textual affordance labels.

    dise RoboDesign1M: A Large-scale Dataset for Robot Design Understanding
    Tri Le, Tien Toan Nguyen, Quang Tran, Quang Nguyen, Baoru Huang, Hoan Nguyen, Minh Nhat Vu, Tung Duc Ta, Anh Nguyen
    Under Review
    [arXiv]

    We introduce RoboDesign1M, a large-scale dataset dedicated to robot design with over 1M samples and multimodal ground truth.

    dise Boosting Insect Pest Recognition with Deep-Wide Learning
    Tien Toan Nguyen, Huy Nguyen, Huy Ung, Hieu Ung, Binh Nguyen
    Under Review
    [arXiv] [Code]

    DeWi obtains state-of-the-art performances on insect pest classification benchmarks by combining image data augmentation and representation learning.

    Services

  • Conference reviewer: IROS 2025, ECCV 2024, ICRA 2024, IROS 2024.
  • Journal reviewer: RA-L 2025.

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