Qihang Yu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 56

Top Topics

Diffusion Models

Image Segmentation

Top Venues

Publications

Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. CoRR (2024)
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR (2024)
Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. CoRR (2024)
Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. CoRR (2024)
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97 (2024)
Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV (2024)
Hanzhong Xu, Dianliang Wu, Kai Zou, Qihang Yu, Haiwen Yu
An intelligent detection method for assembly based on multi-model cascade. ICMLC (2024)
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR (2024)
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. 2024 (2024)
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
COCONut: Modernizing COCO Segmentation. CoRR (2024)
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR (2023)
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV (2023)
Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR (2023)
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. CoRR (2023)
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR (2023)
Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. CoRR (2023)
Shuyang Sun, Weijun Wang, Andrew G. Howard, Qihang Yu, Philip H. S. Torr, Liang-Chieh Chen
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. NeurIPS (2023)
Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. CVPR (2023)
Shuyang Sun, Weijun Wang, Qihang Yu, Andrew G. Howard, Philip H. S. Torr, Liang-Chieh Chen
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. CoRR (2023)
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. ICLR (2023)
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR (2023)
Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Towards Open-Ended Visual Recognition with Large Language Model. CoRR (2023)
Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation. CoRR (2023)
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. NeurIPS (2023)
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. CoRR (2022)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
k-means Mask Transformer. CoRR (2022)
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR (2022)
Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille
PartImageNet: A Large, High-Quality Dataset of Parts. ECCV (8) (2022)
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen
TubeFormer-DeepLab: Video Mask Transformer. CoRR (2022)
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR (2022)
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen
TubeFormer-DeepLab: Video Mask Transformer. CVPR (2022)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
k-means Mask Transformer. ECCV (24) (2022)
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR (2021)
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
Shape-Texture Debiased Neural Network Training. ICLR (2021)
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen
Glance-and-Gaze Vision Transformer. NeurIPS (2021)
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille
Mask Guided Matting via Progressive Refinement Network. CVPR (2021)
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. AAAI (2021)
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR (2021)
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen
Glance-and-Gaze Vision Transformer. CoRR (2021)
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
When Radiology Report Generation Meets Knowledge Graph. AAAI (2020)
Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. MICCAI (3) (2020)
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR (2020)
Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR (2020)
Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Alan L. Yuille
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. CoRR (2020)
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille
Mask Guided Matting via Progressive Refinement Network. CoRR (2020)
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
Neural Architecture Search for Lightweight Non-Local Networks. CVPR (2020)
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. CoRR (2020)
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
Neural Architecture Search for Lightweight Non-Local Networks. CoRR (2020)
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
Shape-Texture Debiased Neural Network Training. CoRR (2020)
Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K. Fishman, Alan L. Yuille
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Trans. Medical Imaging 39 (2) (2020)
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
When Radiology Report Generation Meets Knowledge Graph. CoRR (2020)
Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille
Thickened 2D Networks for 3D Medical Image Segmentation. CoRR (2019)
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CoRR (2019)
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. CVPR (2018)
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. CoRR (2017)
Qihang Yu, Yongqiang Ma, Badong Chen, José Carlos Príncipe, Nanning Zheng, Pengju Ren
A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm. ISCAS (2016)
Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren
A 128-way FPGA platform for the acceleration of KLMS algorithm. ASP-DAC (2015)
Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren
A real-time permutation entropy computation for EEG signals. ASP-DAC (2015)
Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren
A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm. DSP (2015)