Portrait
Portrait
Qing YU
Research Scientist
LY Corporation
About Me

Hi, my name is Qing YU. I am currently a research scientist at LY Corporation.

I am a member of the Virtual Human Lab at LY Corp. I was previously a member of Aizawa Laboratory and worked with Prof. Kiyoharu Aizawa. My research interests include computer vision and generative AI, particularly image, video, and motion generation.

I was a recipient of JSPS Research Fellowships for Young Scientists (DC1, 2020-2023) and The University of Tokyo Fellowship (2018-2020).

Curriculum Vitae
News
2026
3 papers are accepted by ECCV 2026
Jun 18
2 paper is accepted by CVPR 2026
Feb 21
2025
1 paper is accepted by ICCV 2025
Jun 26
Selected Publications (view all )
InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation

Qing Yu, Kent Fujiwara

European Conference on Computer Vision (ECCV) 2026

[Website] [Paper] [Code]

InterCMDM: Block-Causal Diffusion for Autoregressive Human Interaction Generation

Qing Yu, Kent Fujiwara

European Conference on Computer Vision (ECCV) 2026

[Website] [Paper] [Code]

Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation

Sakuya Ota, Qing Yu, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato

European Conference on Computer Vision (ECCV) 2026

[Website] [Paper] [Code]

Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation

Sakuya Ota, Qing Yu, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato

European Conference on Computer Vision (ECCV) 2026

[Website] [Paper] [Code]

ARMS: Anchor–Relational Motion Streaming for Seamless Solo-Social Motion Transitions

Huakun Liu, Qing Yu, Kent Fujiwara, Hideaki Uchiyama, Kiyoshi Kiyokawa

European Conference on Computer Vision (ECCV) 2026

[Website] [Paper] [Code]

ARMS: Anchor–Relational Motion Streaming for Seamless Solo-Social Motion Transitions

Huakun Liu, Qing Yu, Kent Fujiwara, Hideaki Uchiyama, Kiyoshi Kiyokawa

European Conference on Computer Vision (ECCV) 2026

[Website] [Paper] [Code]

Causal Motion Diffusion Models for Autoregressive Motion Generation

Qing Yu, Akihisa Watanabe, Kent Fujiwara

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Website] [Paper] [Code]

Causal Motion Diffusion Models for Autoregressive Motion Generation

Qing Yu, Akihisa Watanabe, Kent Fujiwara

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Website] [Paper] [Code]

ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control

Akihisa Watanabe, Qing Yu, Edgar Simo-Serra, Kent Fujiwara

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Website] [Paper] [Code]

ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control

Akihisa Watanabe, Qing Yu, Edgar Simo-Serra, Kent Fujiwara

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

[Website] [Paper] [Code]

PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups

Sakuya Ota*, Qing Yu*, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato (* equal contribution)

IEEE/CVF International Conference on Computer Vision (ICCV) 2025

[Website] [Paper] [Code]

PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups

Sakuya Ota*, Qing Yu*, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato (* equal contribution)

IEEE/CVF International Conference on Computer Vision (ICCV) 2025

[Website] [Paper] [Code]

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) 2025

[Paper] [Code]

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) 2025

[Paper] [Code]

ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models

Qing Yu, Mikihiro Tanaka, Kent Fujiwara

AAAI Conference on Artificial Intelligence (AAAI) 2025

[Website] [Paper]

ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models

Qing Yu, Mikihiro Tanaka, Kent Fujiwara

AAAI Conference on Artificial Intelligence (AAAI) 2025

[Website] [Paper]

Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models

Kent Fujiwara, Mikihiro Tanaka, Qing Yu

European Conference on Computer Vision (ECCV) 2024

[Website] [Paper] [Code]

Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models

Kent Fujiwara, Mikihiro Tanaka, Qing Yu

European Conference on Computer Vision (ECCV) 2024

[Website] [Paper] [Code]

Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches

Qing Yu, Mikihiro Tanaka, Kent Fujiwara

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Website] [Paper] [Code]

Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches

Qing Yu, Mikihiro Tanaka, Kent Fujiwara

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Website] [Paper] [Code]

Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition

Qing Yu, Kent Fujiwara

AAAI Conference on Artificial Intelligence (AAAI) 2023

[Paper] [Code]

Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition

Qing Yu, Kent Fujiwara

AAAI Conference on Artificial Intelligence (AAAI) 2023

[Paper] [Code]

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Neural Information Processing Systems (NeurIPS) 2023

[Paper] [Code]

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Neural Information Processing Systems (NeurIPS) 2023

[Paper] [Code]

Self-Labeling Framework for Novel Category Discovery over Domains

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

AAAI Conference on Artificial Intelligence (AAAI) 2022

[Paper] [Code]

Self-Labeling Framework for Novel Category Discovery over Domains

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

AAAI Conference on Artificial Intelligence (AAAI) 2022

[Paper] [Code]

Divergence Optimization for Noisy Universal Domain Adaptation

Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021

[Paper] [Code]

Divergence Optimization for Noisy Universal Domain Adaptation

Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021

[Paper] [Code]

Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

European Conference on Computer Vision (ECCV) 2020

[Paper] [Code]

Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

European Conference on Computer Vision (ECCV) 2020

[Paper] [Code]

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

Qing Yu, Kiyoharu Aizawa

IEEE/CVF International Conference on Computer Vision (ICCV) 2019

[Paper] [Code]

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

Qing Yu, Kiyoharu Aizawa

IEEE/CVF International Conference on Computer Vision (ICCV) 2019

[Paper] [Code]

All publications
Experience
  • LY Corp.
    Research Scientist
    Oct. 2023 - present
  • LINE
    Research Scientist
    Apr. 2023 - Sep. 2023
  • LINE
    Research Intern
    Dec. 2021 - May 2022
  • OMRON SINIC X
    Research Intern
    Jul. 2019 - Dec. 2019; Aug. 2020 - Sep. 2021
  • pluszero Inc.
    Part-time Software Engineer
    May 2016 - Mar. 2023
Education
  • The University of Tokyo
    PhD, Graduate School of Information Science and Technology
    Apr. 2020 - Mar. 2023
  • The University of Tokyo
    Master, Graduate School of Interdisciplinary Information Studies
    Apr. 2018 - Mar. 2020
  • The University of Tokyo
    Bachelor, Department of Information and Communication
    Apr. 2014 - Mar. 2018