Qihang Yu

Qihang Yu

Johns Hopkins University

H-index: 20

North America-United States

About Qihang Yu

Qihang Yu, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Computer Vision, Medical Image Analysis, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

ViTamin: Designing Scalable Vision Models in the Vision-Language Era

Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip

Remax: Relaxing for better training on efficient panoptic segmentation

Video-kmax: A simple unified approach for online and near-online video panoptic segmentation

COCONut: Modernizing COCO Segmentation

ON NEURAL ARCHITECTURES FOR SEGMENTATION IN NATURAL AND MEDICAL IMAGES

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation

CancerUniT: Towards a single unified model for effective detection, segmentation, and diagnosis of eight major cancers using a large collection of CT scans

Qihang Yu Information

University

Position

___

Citations(all)

4075

Citations(since 2020)

4061

Cited By

224

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Qihang Yu Skills & Research Interests

Computer Vision

Medical Image Analysis

Deep Learning

Top articles of Qihang Yu

Title

Journal

Author(s)

Publication Date

ViTamin: Designing Scalable Vision Models in the Vision-Language Era

arXiv preprint arXiv:2404.02132

Jienneg Chen

Qihang Yu

Xiaohui Shen

Alan Yuille

Liang-Chieh Chen

2024/4/2

Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip

Advances in Neural Information Processing Systems

Qihang Yu

Ju He

Xueqing Deng

Xiaohui Shen

Liang-Chieh Chen

2024/2/13

Remax: Relaxing for better training on efficient panoptic segmentation

Advances in Neural Information Processing Systems

Shuyang Sun

Weijun Wang

Andrew Howard

Qihang Yu

Philip Torr

...

2024/2/13

Video-kmax: A simple unified approach for online and near-online video panoptic segmentation

Inkyu Shin

Dahun Kim

Qihang Yu

Jun Xie

Hong-Seok Kim

...

2024

COCONut: Modernizing COCO Segmentation

arXiv preprint arXiv:2404.08639

Xueqing Deng

Qihang Yu

Peng Wang

Xiaohui Shen

Liang-Chieh Chen

2024/4/12

ON NEURAL ARCHITECTURES FOR SEGMENTATION IN NATURAL AND MEDICAL IMAGES

Qihang Yu

2023/2/13

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation

Ju He

Qihang Yu

Inkyu Shin

Xueqing Deng

Alan Yuille

...

2023/10/13

CancerUniT: Towards a single unified model for effective detection, segmentation, and diagnosis of eight major cancers using a large collection of CT scans

Jieneng Chen

Yingda Xia

Jiawen Yao

Ke Yan

Jianpeng Zhang

...

2023

3d transunet: Advancing medical image segmentation through vision transformers

arXiv preprint arXiv:2310.07781

Jieneng Chen

Jieru Mei

Xianhang Li

Yongyi Lu

Qihang Yu

...

2023/10/11

Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation

Ju He

Jieneng Chen

Ming-Xian Lin

Qihang Yu

Alan L Yuille

2023

Generating alpha mattes utilizing deep learning

2023/6/29

Towards a single unified model for effective detection, segmentation, and diagnosis of eight major cancers using a large collection of ct scans

arXiv preprint arXiv:2301.12291

Jieneng Chen

Yingda Xia

Jiawen Yao

Ke Yan

Jianpeng Zhang

...

2023

A study of autoregressive decoders for multi-tasking in computer vision

arXiv preprint arXiv:2303.17376

Lucas Beyer

Bo Wan

Gagan Madan

Filip Pavetic

Andreas Steiner

...

2023/3/30

Generating refined alpha mattes utilizing guidance masks and a progressive refinement network

2023/2/28

Towards Open-Ended Visual Recognition with Large Language Model

arXiv preprint arXiv:2311.08400

Qihang Yu

Xiaohui Shen

Liang-Chieh Chen

2023/11/14

Moat: Alternating mobile convolution and attention brings strong vision models

Chenglin Yang

Siyuan Qiao

Qihang Yu

Xiaoding Yuan

Yukun Zhu

...

2022/9/29

The felix project: Deep networks to detect pancreatic neoplasms

medRxiv

Yingda Xia

Qihang Yu

Linda Chu

Satomi Kawamoto

Seyoun Park

...

2022/9/25

Cmt-deeplab: Clustering mask transformers for panoptic segmentation

Qihang Yu

Huiyu Wang

Dahun Kim

Siyuan Qiao

Maxwell Collins

...

2022

Tubeformer-deeplab: Video mask transformer

Dahun Kim

Jun Xie

Huiyu Wang

Siyuan Qiao

Qihang Yu

...

2022

Partimagenet: A large, high-quality dataset of parts

ECCV 2022

Ju He

Shuo Yang

ShaoKang Yang

Adam Kortylewski

Xiaoding Yuan

...

2022

See List of Professors in Qihang Yu University(Johns Hopkins University)

Co-Authors

H-index: 138
Alan Yuille

Alan Yuille

Johns Hopkins University

H-index: 44
Wei Shen (沈为)

Wei Shen (沈为)

Shanghai Jiao Tong University

H-index: 28
Yuyin Zhou

Yuyin Zhou

Stanford University

H-index: 22
Siyuan Qiao

Siyuan Qiao

Johns Hopkins University

H-index: 19
Yingda Xia

Yingda Xia

Johns Hopkins University

H-index: 18
Dahun Kim

Dahun Kim

KAIST

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