University of California, Los Angeles

Visiting Graduate Researcher on learning 4D scene graph for urban scene simulator

Advisor: Bolei ZHOU

University of Trento

PhD student in Deep Learning and Computer Vision

Advisor: Elisa RICCI and Zhun ZHONG

KTH Royal Institute of Technology

Master's degree in Intelligent Autonomous Systems

Grade: A

University of Trento

Master's degree in Mechatronics Engineering

Grade: 110L/110, Summa Cum Laude

NAVER LABS Europe

Position: Visiting Researcher at Visual Representation Learning Team

Advisor: Gabriela CSURKA, Riccardo VOLPI, and Tyler L. HAYES

Responsibility:

(1) Improving open-vocabulary and vocabulary-free object detection on handling novel classes;

(2) Benchmarking Layout2Image diffusion models.

Ericsson

Position: Master Thesis Intern at the Department of Device Software Research

Topic: The V-SLAM Hurdler: A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

(1) Approximate spatial computing for Simultaneous Localization and Mapping (SLAM) algorithm on AR/MR devices

(2) Investigate quantization methods for CNN-based Object Detection (YOLOv4) and Instance Segmentation algorithms (Mask R-CNN)

(3) Investigate the cloud-device cooperation mechanism of distributed Semantic SLAM based on the approximate computing techniques

Siemens Co., Ltd.

Position: Innovation Engineer at Department of Innovation, Smart Infrastructure Division

Responsibility:

(1) Conducted innovative application research, market analysis and competitive product analysis in building automation industry with Internet-of-Things (IoT) technology

(2) Designed software and hardware solution for IoT-based application and demonstrated the solution in a zero to one product definition and development fashion

(3) Defined features and functions for the innovative products based on the new use cases

(4) Cooperated with the internal R&D and production departments, third-party partners (OEM manufacturers, value-added partners, system integrators) to develop and deploy innovative products

(5) Managed and deployed pilot projects of the innovative IoT-based products

A Method for Using Semantic Hierarchy Trees to Increase the Robustness of OvOD Models

Mingxuan Liu, Tyler L. Hayes, Gabriela Csurka, Elisa Ricci, Riccardo Volpi

Organizing Unstructured Image Collections using Natural Language Preprint

Mingxuan Liu, Zhun Zhong, Jun Li, Gianni Franchi, Subhankar Roy, Elisa Ricci

Test-time Vocabulary Adaptation for Language-driven Object Detection

Mingxuan Liu, Tyler L. Hayes, Massimiliano Mancini, Gabriela Csurka, Elisa Ricci, Riccardo Volpi

SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection

Mingxuan Liu, Tyler L. Hayes, Gabriela Csurka, Elisa Ricci, Riccardo Volpi

Democratizing Fine-grained Visual Recognition with Large Language Models

Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci

Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery

Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci

Class-incremental Novel Class Discovery

Subhankar Roy*, Mingxuan Liu*, Zhun Zhong, Nicu Sebe, Elisa Ricci

* denotes co-first authorship

The V-SLAM Hurdler: A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

Mingxuan Liu

Siemens RWG Control Platform Advanced Course and Practice

Jiaxin Han, Huixia Zhao, Kaixuan Zhang, Mingxuan Liu (Deputy Editor-in-Chief & Author)

Siemens Designo CC Building Management System Software and Practice

Huixia Zhao, Jiaxin Han, Kaixuan Zhang, Chao Wang, Lin Feng, Jianqiao Feng, Jian Li, Mingxuan Liu (Author)

OpenAI Researcher Access Program

Role: Principal Investigator

Italian SuperComputing Resource Allocation – ISCRA

Role: Principal Investigator