Tien-Toan Nguyen

/tjɛn-twan ŋwɪn/

Ph.D. Student, Robotics and Autonomous Systems Center
Department of Computer Science, University of Southern California

Email: tientoan [at] usc [dot] edu

I am an incoming CS Ph.D. student at the University of Southern California, co-advised by Prof. Yue Wang and Prof. Daniel Seita. Previously, I was an AI Resident at the FPT AI Center. 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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* indicates equal contribution

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.

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.

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.

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

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

Our method detects potentially unlimited textual affordance labels.

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

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

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