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Results
CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering
Shuai Shen;Wanhua Li;Xiaobing Wang;Dafeng Zhang;Zhezhu Jin;Jie Zhou;Jiwen Lu
2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
One of the most important yet rarely studied challenges for supervised face clustering is the large intra-class variance caused by different face attributes such as age, pose, and expression. Images of the same identity but with different face attributes usually tend to be clustered into different sub-clusters. For the first time, we proposed an attribute hallucination framework named CLIP-Cluster...Show More
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
Yuekun Dai;Chongyi Li;Shangchen Zhou;Ruicheng Feng;Qingpeng Zhu;Qianhui Sun;Wenxiu Sun;Chen Change Loy;Jinwei Gu;Shuai Liu;Hao Wang;Chaoyu Feng;Luyang Wang;Guangqi Shao;Chenguang Zhang;Xiaotao Wang;Lei Lei;Dafeng Zhang;Xiangyu Kong;Guanqun Liu;Mengmeng Bai;Jia Ouyang;Xiaobing Wang;Jiahui Yuan;Xinpeng Li;Chengzhi Jiang;Ting Jiang;Wenjie Lin;Qi Wu;Mingyan Han;Jinting Luo;Lei Yu;Haoqiang Fan;Shuaicheng Liu;Bo Yan;Zhuang Li;Yadong Li;Hongbin Wang;Soonyong Song;Minghan Fu;Rayyan Azam Khan;Fangxiang Wu;Zhao Zhang;Suiyi Zhao;Huan Zheng;Yangcheng Gao;Yanyan Wei;Jiahuan Ren;Bo Wang;Yan Luo;Shuaibo Gao;Wenhui Wu;Sicong Kang;Nikhil Akalwadi;Ankit Raichur;Vinod Patil;Allabakash G;Swaroop A;Amogh Joshi;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi Sicheng Li;Ruoxi Zhu;Jiazheng Lian;Shusong Xu;Zihao Liu;Sabari Nathan;Priya Kansal
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (8)
Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging...Show More
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
Yuekun Dai;Chongyi Li;Shangchen Zhou;Ruicheng Feng;Qingpeng Zhu;Qianhui Sun;Wenxiu Sun;Chen Change Loy;Jinwei Gu;Shuai Liu;Hao Wang;Chaoyu Feng;Luyang Wang;Guangqi Shao;Chenguang Zhang;Xiaotao Wang;Lei Lei;Dafeng Zhang;Xiangyu Kong;Guanqun Liu;Mengmeng Bai;Jia Ouyang;Xiaobing Wang;Jiahui Yuan;Xinpeng Li;Chengzhi Jiang;Ting Jiang;Wenjie Lin;Qi Wu;Mingyan Han;Jinting Luo;Lei Yu;Haoqiang Fan;Shuaicheng Liu;Bo Yan;Zhuang Li;Yadong Li;Hongbin Wang;Soonyong Song;Minghan Fu;Rayyan Azam Khan;Fangxiang Wu;Zhao Zhang;Suiyi Zhao;Huan Zheng;Yangcheng Gao;Yanyan Wei;Jiahuan Ren;Bo Wang;Yan Luo;Shuaibo Gao;Wenhui Wu;Sicong Kang;Nikhil Akalwadi;Ankit Raichur;Vinod Patil;Allabakash G;Swaroop A;Amogh Joshi;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi Sicheng Li;Ruoxi Zhu;Jiazheng Lian;Shusong Xu;Zihao Liu;Sabari Nathan;Priya Kansal
Year: 2023 | Conference Paper |
FF-Former: Swin Fourier Transformer for Nighttime Flare Removal
Dafeng Zhang;Jia Ouyang;Guanqun Liu;Xiaobing Wang;Xiangyu Kong;Zhezhu Jin
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
In the process of removing nighttime flare, it is crucial to have a large receptive field due to the fact that flare can occupy a substantial portion of an image, even potentially the entire image. However, the conventional window-based Transformer approaches restrict the receptive field within the window, limiting its ability to capture global features. And the flare can cause the dark regions to...Show More
MRNET: Multi-Refinement Network for Dual-Pixel Images Defocus Deblurring
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Defocus blurring is an inevitable phenomenon in cameras. Though many methods have been proposed, the problem is still challenging because of their low deblurring performance and long processing time. To solve this problem, we propose an efficient Multi-Refinement Network (MRNet) for dual-pixel images defocus deblurring. The MRNet contains two core modules that are alignment module and reconstructi...Show More
Dynamic Multi-Scale Network for Dual-Pixel Images Defocus Deblurring with Transformer
2022 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2022 | Conference Paper |
Cited by: Papers (9)
Recent works achieve excellent results in dual-pixel defo-cus deblurring task by using convolutional neural network (CNN), while the scarcity of data limits the exploration and attempt of vision transformer in this task. In this paper, we propose a dynamic multi-scale network, named DMT-Net, for dual-pixel images defocus deblurring. In DMTNet, the feature extraction module is composed of several v...Show More
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results
Abdullah Abuolaim;Radu Timofte;Michael S. Brown;Dafeng Zhang;Xiaobing Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Shuai Liu;Lei Lei;Chaoyu Feng;Zhiwei Xiong;Zeyu Xiao;Ruikang Xu;Yunan Zhu;Dong Liu;Tu Vo;Si Miao;Nisarg A. Shah;Pengwei Liang;Zhiwei Zhong;Xingyu Hu;Yiqun Chen;Chenghua Li;Xiaoying Bai;Chi Zhang;Yiheng Yao;Ruipeng Gang;Sabari Nathan;Thangavelu Ragavendran;Venkatakrishnan Srinija;Venkatakrishnan Srivatsav
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021 | Conference Paper |
Cited by: Papers (12)
This paper provides a review of the NTIRE 2021 challenge targeting defocus deblurring using dual-pixel (DP) data. The goal of this single-track challenge was to reduce spatially varying defocus blur present in images captured with a shallow depth of field. The images used in this challenge were obtained using a DP sensor that provided a pair of DP views per captured image. Submitted solutions were...Show More
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results
Abdullah Abuolaim;Radu Timofte;Michael S. Brown;Dafeng Zhang;Xiaobing Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Shuai Liu;Lei Lei;Chaoyu Feng;Zhiwei Xiong;Zeyu Xiao;Ruikang Xu;Yunan Zhu;Dong Liu;Tu Vo;Si Miao;Nisarg A. Shah;Pengwei Liang;Zhiwei Zhong;Xingyu Hu;Yiqun Chen;Chenghua Li;Xiaoying Bai;Chi Zhang;Yiheng Yao;Ruipeng Gang;Sabari Nathan;Thangavelu Ragavendran;Venkatakrishnan Srinija;Venkatakrishnan Srivatsav
Year: 2021 | Conference Paper |
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah;Sanghyun Son;Suyoung Lee;Radu Timofte;Kyoung Mu Lee;Liangyu Chen;Jie Zhang;Xin Lu;Xiaojie Chu;Chengpeng Chen;Zhiwei Xiong;Ruikang Xu;Zeyu Xiao;Jie Huang;Yueyi Zhang;Si Xi;Jia Wei;Haoran Bai;Songsheng Cheng;Hao Wei;Long Sun;Jinhui Tang;Jinshan Pan;Donghyeon Lee;Chulhee Lee;Taesung Kim;Xiaobing Wang;Dafeng Zhang;Zhihong Pan;Tianwei Lin;Wenhao Wu;Dongliang He;Baopu Li;Boyun Li;Teng Xi;Gang Zhang;Jingtuo Liu;Junyu Han;Errui Ding;Guangpin Tao;Wenqing Chu;Yun Cao;Donghao Luo;Ying Tai;Tong Lu;Chengjie Wang;Jilin Li;Feiyue Huang;Hanting Chen;Shuaijun Chen;Tianyu Guo;Yunhe Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Yushen Zuo;Yimin Ou;Yuanjun Chai;Lei Shi;Shuai Liu;Lei Lei;Chaoyu Feng;Kai Zeng;Yuying Yao;Xinran Liu;Zhizhou Zhang;Huacheng Huang;Yunchen Zhang;Mingchao Jiang;Wenbin Zou;Si Miao;Yangwoo Kim;Yuejin Sun;Senyou Deng;Wenqi Ren;Xiaochun Cao;Tao Wang;Maitreya Suin;A. N. Rajagopalan;Vinh Van Duong;Thuc Huu Nguyen;Jonghoon Yim;Byeungwoo Jeon;Ru Li;Junwei Xie;Jong-Wook Han;Jun-Ho Choi;Jun-Hyuk Kim;Jong-Seok Lee;Jiaxin Zhang;Fan Peng;David Svitov;Dmitry Pakulich;Jaeyeob Kim;Jechang Jeong
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021 | Conference Paper |
Cited by: Papers (35)
Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality ...Show More
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah;Sanghyun Son;Suyoung Lee;Radu Timofte;Kyoung Mu Lee;Liangyu Chen;Jie Zhang;Xin Lu;Xiaojie Chu;Chengpeng Chen;Zhiwei Xiong;Ruikang Xu;Zeyu Xiao;Jie Huang;Yueyi Zhang;Si Xi;Jia Wei;Haoran Bai;Songsheng Cheng;Hao Wei;Long Sun;Jinhui Tang;Jinshan Pan;Donghyeon Lee;Chulhee Lee;Taesung Kim;Xiaobing Wang;Dafeng Zhang;Zhihong Pan;Tianwei Lin;Wenhao Wu;Dongliang He;Baopu Li;Boyun Li;Teng Xi;Gang Zhang;Jingtuo Liu;Junyu Han;Errui Ding;Guangpin Tao;Wenqing Chu;Yun Cao;Donghao Luo;Ying Tai;Tong Lu;Chengjie Wang;Jilin Li;Feiyue Huang;Hanting Chen;Shuaijun Chen;Tianyu Guo;Yunhe Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Yushen Zuo;Yimin Ou;Yuanjun Chai;Lei Shi;Shuai Liu;Lei Lei;Chaoyu Feng;Kai Zeng;Yuying Yao;Xinran Liu;Zhizhou Zhang;Huacheng Huang;Yunchen Zhang;Mingchao Jiang;Wenbin Zou;Si Miao;Yangwoo Kim;Yuejin Sun;Senyou Deng;Wenqi Ren;Xiaochun Cao;Tao Wang;Maitreya Suin;A. N. Rajagopalan;Vinh Van Duong;Thuc Huu Nguyen;Jonghoon Yim;Byeungwoo Jeon;Ru Li;Junwei Xie;Jong-Wook Han;Jun-Ho Choi;Jun-Hyuk Kim;Jong-Seok Lee;Jiaxin Zhang;Fan Peng;David Svitov;Dmitry Pakulich;Jaeyeob Kim;Jechang Jeong
Year: 2021 | Conference Paper |
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation
Xiaobing Wang;Yingying Jiang;Zhenbo Luo;Cheng-Lin Liu;Hyunsoo Choi;Sungjin Kim
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019 | Conference Paper |
Cited by: Papers (136)
Scene text detection attracts much attention in computer vision, because it can be widely used in many applications such as real-time text translation, automatic information entry, blind person assistance, robot sensing and so on. Though many methods have been proposed for horizontal and oriented texts, detecting irregular shape texts such as curved texts is still a challenging problem. To solve t...Show More
R2 CNN: Rotational Region CNN for Arbitrarily-Oriented Scene Text Detection
Yingying Jiang;Xiangyu Zhu;Xiaobing Wang;Shuli Yang;Wei Li;Hua Wang;Pei Fu;Zhenbo Luo
2018 24th International Conference on Pattern Recognition (ICPR)
Year: 2018 | Conference Paper |
Cited by: Papers (204)
Scene text detection is challenging as the input may have different orientations, sizes, font styles, lighting conditions, perspective distortions and languages. This paper addresses the problem by designing a Rotational Region CNN (R2CNN). R2CNN includes a Text Region Proposal Network (Text-RPN) to estimate approximate text regions and a multitask refinement network to get the precise inclined bo...Show More
Deep Residual Text Detection Network for Scene Text
Xiangyu Zhu;Yingying Jiang;Shuli Yang;Xiaobing Wang;Wei Li;Pei Fu;Hua Wang;Zhenbo Luo
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
Year: 2017 | Conference Paper |
Cited by: Papers (13)
Scene text detection is a challenging problem in computer vision. In this paper, we propose a novel text detection network based on prevalent object detection frameworks. In order to obtain stronger semantic feature, we adopt ResNet as feature extraction layers and exploit multi-level feature by combining hierarchical convolutional networks. A vertical proposal mechanism is utilized to avoid propo...Show More
End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking
Xiaobing Wang;Yingying Jiang;Shuli Yang;Xiangyu Zhu;Wei Li;Pei Fu;Hua Wang;Zhenbo Luo
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
Year: 2017 | Conference Paper |
Cited by: Papers (16)
Text detection and recognition in scene images and videos attract much attention in computer vision recently. However, most existing text detection and recognition methods only focus on static images. In this paper an end-to-end scene text recognition method based on multi frame tracking is proposed for text in videos, in which temporal information is employed to improve performance. First, an end...Show More
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