Qinbo Li

I am a research scientist at Meta. I am interested in Computer Graphics, Computer Vision, and more specifically, computational photography, 3D vision and view synthesis.

Before I joined Meta, I received my PhD from Texas A&M University, advised by Dr. Yoonsuck Choe.

Email / CV / Google Scholar / Github / Linkedin

Research

	Taming Latent Diffusion Model for Neural Radiance Field Inpainting Chieh Hubert Lin, Changil Kim, Jia-Bin Huang, Qinbo Li, Chih-Yao Ma, Johannes Kopf, Ming-Hsuan Yang, Hung-Yu Tseng ECCV 2024 Project page / arXiv
	LTM: Lightweight Textured Mesh Reconstruction for Real-time Rendering in Unbounded Scene Jaehoon Choi, Rajvi Shah, Qinbo Li, Yipeng Wang, Ayush Saraf, Changil Kim, Jia-Bin Huang, Dinesh Manocha, Suhib Alsisan, and Johannes Kopf CVPR 2024 Project page / pdf We present a practical method for reconstructing and optimizing textured meshes of large, unbounded real-world scenes that offer high visual and geometric fidelity.
	Consistent View Synthesis with Pose-Guided Diffusion Models Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf CVPR 2023 Project page / arXiv We propose a pose-guided diffusion model to generate a consistent long-term video of novel views from a single image.
	Synthesizing Light Field From a Single Image With Variable MPI and Two Network Fusion Qinbo Li and Nima Kalantari SIGGRAPH Asia, 2020 project page / pdf / video / code Synthesize light fields from a single image on general scene. Introduced a light field dataset that includes indoor and outdoor scene.
	Video Face Recognition with Audio-Visual Aggregation Network Qinbo Li, Qing Wan, Sang-Heon Lee, Yoonsuck Choe ICONIP 2021 (Oral Presentation) pdf We introduce an Audio-Visual Aggregation Network (AVAN) to aggregate multiple facial and voice information to improve face recognition performance.
	Emergence of Tool Use in an Articulated Limb Controlled by Evolved Neural Circuits Qinbo Li, Jaewook Yoo, Yoonsuck Choe IJCNN 2015 pdf we investigate how the capability to use tools can spontaneously emerge in a simulated environment with Neuroevolution algorithm.

Others

Construction and Use of Tools through Hierarchical Deep Reinforcement Learning
Qinbo Li and Yoonsuck Choe
IROS workshop 2021

Tool construction and use challenge: Tooling test rebooted
Yoonsuck Choe, Jaewook Yoo, and Qinbo Li
AAAI Workshop, 2015

Experience

Meta	2/7/2022 - Present Research Scientist
Wyze Labs	1/4/2021 - 5/1/2021 Research Scientist Intern
Texas A&M University	9/1/2017 - 12/31/2020 Research Assistant Teaching Assistant

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Last updated JUL 2024.