no code implementations • 3 Sep 2018 • Liping Zhang, Zongqing Lu, Qingmin Liao
With the motivation of various convolutional neural network(CNN) structures succeeded in single image super-resolution(SISR) task, an end-to-end convolutional neural network is proposed to reconstruct the high resolution(HR) optical flow field from initial LR optical flow with the guidence of the first frame used in optical flow estimation.
no code implementations • 30 Mar 2019 • Haoyu Ma, Juncheng Zhang, Shaojun Liu, Qingmin Liao
Since it is usually difficult to capture an all-in-focus image of a 3D scene directly, various multi-focus image fusion methods are employed to generate it from several images focusing at different depths.
no code implementations • 27 Feb 2020 • Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao
Depthwise convolution has gradually become an indispensable operation for modern efficient neural networks and larger kernel sizes ($\ge5$) have been applied to it recently.
no code implementations • 28 Mar 2020 • Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue
In this letter, we introduce a large and realistic multi-focus dataset called Real-MFF, which contains 710 pairs of source images with corresponding ground truth images.
no code implementations • 18 May 2020 • Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao
Recent end-to-end deep neural networks for disparity regression have achieved the state-of-the-art performance.
no code implementations • 26 Jan 2021 • Kai Lv, Zongqing Lu, Qingmin Liao
By the new descriptor, we can obtain more high confidence matching points without extremum operation.
no code implementations • 19 Apr 2021 • Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
To this end, we generate self-contrastive background prototypes directly from the query image, with which we enable the construction of complete sample pairs and thus a complementary and auxiliary segmentation task to achieve the training of a better segmentation model.
no code implementations • 6 May 2021 • Jingyu Guo, Wei Wang, Wenming Yang, Qingmin Liao, Jie zhou
In this paper, we introduce a brand new scheme, namely external-reference image quality assessment (ER-IQA), by introducing external reference images to bridge the gap between FR and NR-IQA.
no code implementations • 24 Nov 2021 • Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
In practice, it can adaptively generate multiple class-agnostic prototypes for query images and learn feature alignment in a self-contrastive manner.
Ranked #45 on Few-Shot Semantic Segmentation on COCO-20i (1-shot)
no code implementations • 17 Apr 2023 • Jiawei Xu, Zongqing Lu, Qingmin Liao
Lack of texture often causes ambiguity in matching, and handling this issue is an important challenge in optical flow estimation.
no code implementations • 18 Sep 2023 • Yating Liu, Yaowei Li, Zimo Liu, Wenming Yang, YaoWei Wang, Qingmin Liao
Text-based Person Retrieval (TPR) aims to retrieve the target person images given a textual query.
no code implementations • 16 Oct 2023 • Nian Li, Chen Gao, Yong Li, Qingmin Liao
In this work, we take an early step in introducing a novel approach that leverages LLMs in macroeconomic simulation.
no code implementations • 16 Nov 2023 • Yuan Shi, Bin Xia, Rui Zhu, Qingmin Liao, Wenming Yang
Color-guided depth map super-resolution (CDSR) improve the spatial resolution of a low-quality depth map with the corresponding high-quality color map, benefiting various applications such as 3D reconstruction, virtual reality, and augmented reality.
no code implementations • 3 Feb 2024 • Yanjun Liu, Wenming Yang, Qingmin Liao
To fill this gap, we introduce DiffVein, a unified diffusion model-based framework which simultaneously addresses vein segmentation and authentication tasks.
no code implementations • 18 Mar 2024 • Yujiao Jiang, Qingmin Liao, Xiaoyu Li, Li Ma, Qi Zhang, Chaopeng Zhang, Zongqing Lu, Ying Shan
Therefore, we propose UV Gaussians, which models the 3D human body by jointly learning mesh deformations and 2D UV-space Gaussian textures.
no code implementations • 12 Apr 2024 • Jingrui Ye, Zongkai Zhang, Yujiao Jiang, Qingmin Liao, Wenming Yang, Zongqing Lu
OccGaussian initializes 3D Gaussian distributions in the canonical space, and we perform occlusion feature query at occluded regions, the aggregated pixel-align feature is extracted to compensate for the missing information.
1 code implementation • 2 Feb 2023 • Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
In the first step, we train different sub-predictors on different types of available low-fidelity information to extract beneficial knowledge as low-fidelity experts.
1 code implementation • 9 Sep 2019 • Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
In this paper, we develop a concise but efficient network architecture called linear compressing based skip-connecting network (LCSCNet) for image super-resolution.
Ranked #14 on Image Super-Resolution on Set14 - 3x upscaling
1 code implementation • 17 Mar 2023 • Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Baining Guo
While generative modeling has been ubiquitous in natural language processing and computer vision, its application to image retrieval remains unexplored.
1 code implementation • 12 Sep 2023 • Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao
In this work, we formulate the sampling process as an extended reverse-time SDE (ER SDE), unifying prior explorations into ODEs and SDEs.
1 code implementation • 23 Dec 2023 • Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang
AI agents powered by Large Language Models (LLMs) have made significant advances, enabling them to assist humans in diverse complex tasks and leading to a revolution in human-AI coordination.
1 code implementation • 14 Mar 2022 • Hai Wang, Xiaoyu Xiang, Yapeng Tian, Wenming Yang, Qingmin Liao
Second, we put forward a spatial-temporal deformable feature aggregation (STDFA) module, in which spatial and temporal contexts in dynamic video frames are adaptively captured and aggregated to enhance SR reconstruction.
2 code implementations • 15 Feb 2019 • Wenming Yang, Wei Wang, Xuechen Zhang, Shuifa Sun, Qingmin Liao
Specifically, a spindle block is composed of a dimension extension unit, a feature exploration unit and a feature refinement unit.
Ranked #11 on Image Super-Resolution on Manga109 - 3x upscaling
1 code implementation • CVPR 2022 • Yucheng Hang, Bin Xia, Wenming Yang, Qingmin Liao
In addition, we propose a background-attentional adaptive instance normalization (BAIN) to achieve an attention-weighted background feature distribution according to the foreground-background feature similarity.
2 code implementations • 29 Oct 2019 • Haoyu Ma, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Jing-Hao Xue
Based on this {\alpha}-matte defocus model and the generated data, a cascaded boundary aware convolutional network termed MMF-Net is proposed and trained, aiming to achieve clearer fusion results around the FDB.
1 code implementation • 28 Jul 2022 • Bin Xia, Yapeng Tian, Yulun Zhang, Yucheng Hang, Wenming Yang, Qingmin Liao
The most of CNN based super-resolution (SR) methods assume that the degradation is known (\eg, bicubic).
1 code implementation • 16 Jan 2024 • Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li
Urban villages, defined as informal residential areas in or around urban centers, are characterized by inadequate infrastructures and poor living conditions, closely related to the Sustainable Development Goals (SDGs) on poverty, adequate housing, and sustainable cities.
1 code implementation • 13 Sep 2020 • Yucheng Hang, Qingmin Liao, Wenming Yang, Yupeng Chen, Jie zhou
The adaptive spatial attention branch (ASAB) and the adaptive channel attention branch (ACAB) constitute the adaptive dual attention module (ADAM), which can capture the long-range spatial and channel-wise contextual information to expand the receptive field and distinguish different types of information for more effective feature representations.
1 code implementation • 12 Jan 2022 • Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie zhou
To improve matching efficiency, we design a novel Embedded PatchMacth scheme with random samples propagation, which involves end-to-end training with asymptotic linear computational cost to the input size.
1 code implementation • 11 Jan 2022 • Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie zhou
To demonstrate the effectiveness of ENLCA, we build an architecture called Efficient Non-Local Contrastive Network (ENLCN) by adding a few of our modules in a simple backbone.
2 code implementations • 2 Aug 2021 • Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
Our method can be used to prune any structures including those with coupled channels.
Ranked #4 on Network Pruning on ImageNet
2 code implementations • ICLR 2021 • Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
Multi-task learning (MTL) has been widely used in representation learning.