196 citations · 356 across the 23 of their papers we have counts for
24 papers
Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection
Shengjian Wu, Li Sun, Yu Shangguan +1
DETR-style detectors use one-to-one bipartite matching during training to assign object queries to ground-truth objects, enabling end-to-end set prediction without non-maximum supp…
RecursiveDet: End-to-End Region-based Recursive Object Detection
Jing Zhao, Li Sun, Qingli Li
End-to-end region-based object detectors like Sparse R-CNN usually have multiple cascade bounding box decoding stages, which refine the current predictions according to their previ…
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Yunhao Bai, Duowen Chen, Qingli Li +2
In semi-supervised medical image segmentation, there exist empirical mismatch problems between labeled and unlabeled data distribution. The knowledge learned from the labeled data…
EDMAE: An Efficient Decoupled Masked Autoencoder for Standard View Identification in Pediatric Echocardiography
Yiman Liu, Xiaoxiang Han, Tongtong Liang +7
This paper introduces the Efficient Decoupled Masked Autoencoder (EDMAE), a novel self-supervised method for recognizing standard views in pediatric echocardiography. EDMAE introdu…
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
Siyuan Li, Li Sun, Qingli Li
Pre-trained vision-language models like CLIP have recently shown superior performances on various downstream tasks, including image classification and segmentation. However, in fin…
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
Duowen Chen, Yunhao Bai, Wei Shen +3
We propose a novel teacher-student model for semi-supervised multi-organ segmentation. In teacher-student model, data augmentation is usually adopted on unlabeled data to regulariz…
IoU-Enhanced Attention for End-to-End Task Specific Object Detection
Jing Zhao, Shengjian Wu, Li Sun +1
Without densely tiled anchor boxes or grid points in the image, sparse R-CNN achieves promising results through a set of object queries and proposal boxes updated in the cascaded t…
SR: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification
Xingran Xie, Yan Wang, Qingli Li
Benefited from the rich and detailed spectral information in hyperspectral images (HSI), HSI offers great potential for a wide variety of medical applications such as computational…
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
Xinyue Zhou, Mingyu Yin, Xinyuan Chen +3
Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance. In this paper, we propose a cross attention ba…
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation
Xueqi Hu, Xinyue Zhou, Qiusheng Huang +3
Unpaired image-to-image (I2I) translation often requires to maximize the mutual information between the source and the translated images across different domains, which is critical…
Style Transformer for Image Inversion and Editing
Xueqi Hu, Qiusheng Huang, Zhengyi Shi +4
Existing GAN inversion methods fail to provide latent codes for reliable reconstruction and flexible editing simultaneously. This paper presents a transformer-based image inversion…
Intriguing Findings of Frequency Selection for Image Deblurring
Xintian Mao, Yiming Liu, Fengze Liu +3
Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image. Recent progress on image deblurring always desig…
Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
Qiusheng Huang, Zhilin Zheng, Xueqi Hu +2
The image-to-image translation (I2IT) model takes a target label or a reference image as the input, and changes a source into the specified target domain. The two types of synthesi…
LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation
Qiusheng Huang, Xueqi Hu, Li Sun +1
Image-to-image (I2I) translation is usually carried out among discrete domains. However, image domains, often corresponding to a physical value, are usually continuous. In other wo…
Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
Hang Liu, Menghan Hu, Yuzhen Chen +5
For people who ardently love painting but unfortunately have visual impairments, holding a paintbrush to create a work is a very difficult task. People in this special group are ea…
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
Yao Chang, Hu Menghan, Zhai Guangtao +1
In recent years, computer-aided diagnosis has become an increasingly popular topic. Methods based on convolutional neural networks have achieved good performance in medical image s…
ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
Mingyu Yin, Li Sun, Qingli Li
View synthesis is usually done by an autoencoder, in which the encoder maps a source view image into a latent content code, and the decoder transforms it into a target view image a…
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun, Yan Wang, Jieneng Chen +3
Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications relied on high-precision pathology image segmentation, such as computational pathology and…
Identification of deep breath while moving forward based on multiple body regions and graph signal analysis
Yunlu Wang, Cheng Yang, Menghan Hu +4
This paper presents an unobtrusive solution that can automatically identify deep breath when a person is walking past the global depth camera. Existing non-contact breath assessmen…
Claw U-Net: A Unet-based Network with Deep Feature Concatenation for Scleral Blood Vessel Segmentation
Chang Yao, Jingyu Tang, Menghan Hu +4
Sturge-Weber syndrome (SWS) is a vascular malformation disease, and it may cause blindness if the patient's condition is severe. Clinical results show that SWS can be divided into…
Face Mask Assistant: Detection of Face Mask Service Stage Based on Mobile Phone
Yuzhen Chen, Menghan Hu, Chunjun Hua +4
Coronavirus Disease 2019 (COVID-19) has spread all over the world since it broke out massively in December 2019, which has caused a large loss to the whole world. Both the confirme…
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
Mingyu Yin, Li Sun, Qingli Li
Novel view synthesis often needs the paired data from both the source and target views. This paper proposes a view translation model under cVAE-GAN framework without requiring the…
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Yunlu Wang, Menghan Hu, Qingli Li +3
Research significance: The extended version of this paper has been accepted by IEEE Internet of Things journal (DOI: 10.1109/JIOT.2020.2991456), please cite the journal version. Du…
Disentangling the Spatial Structure and Style in Conditional VAE
Ziye Zhang, Li Sun, Zhilin Zheng +1
This paper aims to disentangle the latent space in cVAE into the spatial structure and the style code, which are complementary to each other, with one of them being label rel…