Publications on computer graphics and computer vision - SCIENCE CHINA Information Sciences

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
Highly Cited in 202407 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 97

TransCrowd: weakly-supervised crowd counting with transformers
Liang, Dingkang; Chen, Xiwu; Xu, Wei; Zhou, Yu; Bai, Xiang
Sci China Inf Sci, 2022, 65(6): 160104

Keywords: crowd counting; visual transformer; weakly supervised; crowd analysis; transformer

Cite as: Liang D K, Chen X W, Xu W, et al. TransCrowd: weakly-supervised crowd counting with transformers. Sci China Inf Sci, 2022, 65(6): 160104, doi: 10.1007/s11432-021-3445-y

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
Highly Cited in 202401 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 71

Progressive learning with multi-scale attention network for cross-domain vehicle re-identification
Wang, Yang; Peng, Jinjia; Wang, Huibing; Wang, Meng
Sci China Inf Sci, 2022, 65(6): 160103

Keywords: data adaptation module; weighted label smoothing loss; multi-scale attention network; vehicle re-identification

Cite as: Wang Y, Peng J J, Wang H B, et al. Progressive learning with multi-scale attention network for cross-domain vehicle re-identification. Sci China Inf Sci, 2022, 65(6): 160103, doi: 10.1007/s11432-021-3383-y

Highly Cited in 202311 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 59

Learning practically feasible policies for online 3D bin packing
Zhao, Hang; Zhu, Chenyang; Xu, Xin; Huang, Hui; Xu, Kai
Sci China Inf Sci, 2022, 65(1): 112105

Keywords: bin packing problem; online 3d-bpp; reinforcement learning

Cite as: Zhao H, Zhu C Y, Xu X, et al. Learning practically feasible policies for online 3D bin packing. Sci China Inf Sci, 2022, 65(1): 112105, doi: 10.1007/s11432-021-3348-6

Highly Cited in 202303 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 58

Learning hyperspectral images from RGB images via a coarse-to-fine CNN
Mei, Shaohui; Geng, Yunhao; Hou, Junhui; Du, Qian
Sci China Inf Sci, 2022, 65(5): 152102

Keywords: hyperspectral; reconstruction; convolutional neural network; deep learning

Cite as: Mei S H, Geng Y H, Hou J H, et al. Learning hyperspectral images from RGB images via a coarse-to-fine CNN. Sci China Inf Sci, 2022, 65(5): 152102, doi: 10.1007/s11432-020-3102-9

Highly Cited in 202407 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 54

Class attention network for image recognition
Cheng, Gong; Lai, Pujian; Gao, Decheng; Han, Junwei
Sci China Inf Sci, 2023, 66(3): 132105

Keywords: visual attention; class-specific attention encoding; class attention network; dictionary learning

Cite as: Cheng G, Lai P J, Gao D C, et al. Class attention network for image recognition. Sci China Inf Sci, 2023, 66(3): 132105, doi: 10.1007/s11432-021-3493-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 45

Densely nested top-down flows for salient object detection
Fang, Chaowei; Tian, Haibin; Zhang, Dingwen; Zhang, Qiang; Han, Jungong; Han, Junwei
Sci China Inf Sci, 2022, 65(8): 182103

Keywords: salient object detection; top-down flow; densely nested framework; convolutional neural networks

Cite as: Fang C W, Tian H B, Zhang D W, et al. Densely nested top-down flows for salient object detection. Sci China Inf Sci, 2022, 65(8): 182103, doi: 10.1007/s11432-021-3384-y

Highly Cited in 202407 RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 37

Fewer is more: efficient object detection in large aerial images
Xie, Xingxing; Cheng, Gong; Li, Qingyang; Miao, Shicheng; Li, Ke; Han, Junwei
Sci China Inf Sci, 2024, 67(1): 112106

Keywords: efficient object detection; large aerial images; objectness activation network

Cite as: Xie X X, Cheng G, Li Q Y, et al. Fewer is more: efficient object detection in large aerial images. Sci China Inf Sci, 2024, 67(1): 112106, doi: 10.1007/s11432-022-3718-5

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 36

RLLNet: a lightweight remaking learning network for saliency redetection on RGB-D images
Zhou, Wujie; Liu, Chang; Lei, Jingsheng; Yu, Lu
Sci China Inf Sci, 2022, 65(6): 160107

Keywords: deep learning; rgb-d image; saliency detection; remaking learning; lightweight network

Cite as: Zhou W J, Liu C, Lei J S, et al. RLLNet: a lightweight remaking learning network for saliency redetection on RGB-D images. Sci China Inf Sci, 2022, 65(6): 160107, doi: 10.1007/s11432-020-3337-9

PERSPECTIVE Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 22

SAM struggles in concealed scenes - empirical study on Segment Anything
Ji, Ge-Peng; Fan, Deng-Ping; Xu, Peng; Zhou, Bowen; Cheng, Ming-Ming; Van Gool, Luc
Sci China Inf Sci, 2023, 66(12): 226101

Keywords: Segment Anything; SAM; Camouflaged; Concealed Scene Understanding; Concealed Object Segmentation

Cite as: Ji G-P, Fan D-P, Xu P, et al. SAM struggles in concealed scenes - empirical study on Segment Anything. Sci China Inf Sci, 2023, 66(12): 226101, doi: 10.1007/s11432-023-3881-x

REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 19

Survey on rain removal from videos or a single image
Wang, Hong; Wu, Yichen; Li, Minghan; Zhao, Qian; Meng, Deyu
Sci China Inf Sci, 2022, 65(1): 111101

Keywords: rain removal; maximum a posterior estimation; deep learning; generalization performance; comprehensive repository

Cite as: Wang H, Wu Y C, Li M H, et al. Survey on rain removal from videos or a single image. Sci China Inf Sci, 2022, 65(1): 111101, doi: 10.1007/s11432-020-3225-9

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 15

Human motion segmentation based on structure constraint matrix factorization
Gao, Hongbo; Guo, Fang; Zhu, Juping; Kan, Zhen; Zhang, Xinyu
Sci China Inf Sci, 2022, 65(1): 119103

Keywords: computer vision; human motion segmentation; spectral clustering; structure constraint; matrix factorization

Cite as: Gao H B, Guo F, Zhu J P, et al. Human motion segmentation based on structure constraint matrix factorization. Sci China Inf Sci, 2022, 65(1): 119103, doi: 10.1007/s11432-020-2967-3

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 13

Fast target-aware learning for few-shot video object segmentation
Chen, Yadang; Hao, Chuanyan; Yang, Zhi-Xin; Wu, Enhua
Sci China Inf Sci, 2022, 65(8): 182104

Keywords: video object segmentation; few-shot; target-aware; meta knowledge; bilevel-optimization

Cite as: Chen Y D, Hao C Y, Yang Z-X, et al. Fast target-aware learning for few-shot video object segmentation. Sci China Inf Sci, 2022, 65(8): 182104, doi: 10.1007/s11432-021-3396-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

ViGT: proposal-free video grounding with a learnable token in the transformer
Li, Kun; Guo, Dan; Wang, Meng
Sci China Inf Sci, 2023, 66(10): 202102

Keywords: video grounding; temporal sentence grounding; boundary regression; token learning; proposal-free

Cite as: Li K, Guo D, Wang M. ViGT: proposal-free video grounding with a learnable token in the transformer. Sci China Inf Sci, 2023, 66(10): 202102, doi: 10.1007/s11432-022-3783-3

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

A unified pruning framework for vision transformers
Yu, Hao; Wu, Jianxin
Sci China Inf Sci, 2023, 66(7): 179101

Keywords: vision transformer; structural pruning; image classification; object detection; language modeling

Cite as: Yu H, Wu J X. A unified pruning framework for vision transformers. Sci China Inf Sci, 2023, 66(7): 179101, doi: 10.1007/s11432-022-3646-6

NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

RPC: a large-scale and fine-grained retail product checkout dataset
WEI, Xiu-Shen; CUI, Quan; YANG, Lei; WANG, Peng; LIU, Lingqiao; YANG, Jian
Sci China Inf Sci, 2022, 65(9): 197101

Keywords: Automatic Check-Out; Benchmark Datasets; Retail Product Recognition; Fine-Grained Recognition; Deep Learning

Cite as: Wei X-S, Cui Q, Yang L, et al. RPC: a large-scale and fine-grained retail product checkout dataset. Sci China Inf Sci, 2022, 65(9): 197101, doi: 10.1007/s11432-022-3513-y

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Onfocus detection: identifying individual-camera eye contact from unconstrained images
Zhang, Dingwen; Wang, Bo; Wang, Gerong; Zhang, Qiang; Zhang, Jiajia; Han, Jungong; You, Zheng
Sci China Inf Sci, 2022, 65(6): 160101

Keywords: onfocus detection; deep neural network; capsule routing; computer vision; deep learning

Cite as: Zhang D W, Wang B, Wang G R, et al. Onfocus detection: identifying individual-camera eye contact from unconstrained images. Sci China Inf Sci, 2022, 65(6): 160101, doi: 10.1007/s11432-020-3181-9

REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 10

Survey on leveraging pre-trained generative adversarial networks for image editing and restoration
Liu, Ming; Wei, Yuxiang; Wu, Xiaohe; Zuo, Wangmeng; Zhang, Lei
Sci China Inf Sci, 2023, 66(5): 151101

Keywords: survey; generative adversarial networks; pre-trained models; image editing; image restoration

Cite as: Liu M, Wei Y X, Wu X H, et al. Survey on leveraging pre-trained generative adversarial networks for image editing and restoration. Sci China Inf Sci, 2023, 66(5): 151101, doi: 10.1007/s11432-022-3679-0

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 10

Point attention network for point cloud semantic segmentation
Ren, Dayong; Wu, Zhengyi; Li, Jiawei; Yu, Piaopiao; Guo, Jie; Wei, Mingqiang; Guo, Yanwen
Sci China Inf Sci, 2022, 65(9): 192104

Keywords: point cloud; semantic segmentation; self-attention mechanism; deep learning; long-range dependencies

Cite as: Ren D Y, Wu Z Y, Li J W, et al. Point attention network for point cloud semantic segmentation. Sci China Inf Sci, 2022, 65(9): 192104, doi: 10.1007/s11432-021-3387-7

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 10

Evolution of AVS video coding standards: twenty years of innovation and development
Ma, Siwei; Zhang, Li; Wang, Shiqi; Jia, Chuanmin; Wang, Shanshe; Huang, Tiejun; Wu, Feng; Gao, Wen
Sci China Inf Sci, 2022, 65(9): 192101

Keywords: video coding; AVS standards; video applications; intelligent coding

Cite as: Ma S W, Zhang L, Wang S Q, et al. Evolution of AVS video coding standards: twenty years of innovation and development. Sci China Inf Sci, 2022, 65(9): 192101, doi: 10.1007/s11432-021-3461-9

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

Quantized and adaptive memristor based CNN (QA-mCNN) for image processing
Hu, Xiaofang; Shi, Wenqiang; Zhou, Yue; Tang, Hongan; Duan, Shukai
Sci China Inf Sci, 2022, 65(1): 119104

Keywords: adaptive template; incremental network quantization; optimization; cnn; memristor

Cite as: Hu X F, Shi W Q, Zhou Y, et al. Quantized and adaptive memristor based CNN (QA-mCNN) for image processing. Sci China Inf Sci, 2022, 65(1): 119104, doi: 10.1007/s11432-020-3031-9

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Contextual and selective attention networks for image captioning
Wang, Jing; Li, Yehao; Pan, Yingwei; Yao, Ting; Tang, Jinhui; Mei, Tao
Sci China Inf Sci, 2022, 65(12): 222103

Keywords: image captioning; hybrid attention; contextual attention

Cite as: Wang J, Li Y H, Pan Y W, et al. Contextual and selective attention networks for image captioning. Sci China Inf Sci, 2022, 65(12): 222103, doi: 10.1007/s11432-020-3523-6

Prototype-based classifier learning for long-tailed visual recognition
Wei, Xiu-Shen; Xu, Shu-Lin; Chen, Hao; Xiao, Liang; Peng, Yuxin
Sci China Inf Sci, 2022, 65(6): 160105

Keywords: long-tailed distribution; categorical prototype; classifier generation; classifier calibration; class imbalance

Cite as: Wei X-S, Xu S-L, Chen H, et al. Prototype-based classifier learning for long-tailed visual recognition. Sci China Inf Sci, 2022, 65(6): 160105, doi: 10.1007/s11432-021-3489-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

RGBT tracking via reliable feature configuration
Tu, Zhengzheng; Pan, Wenli; Duan, Yunsheng; Tang, Jin; Li, Chenglong
Sci China Inf Sci, 2022, 65(4): 142101

Keywords: rgbt tracking; multi-modal; reliability guideline; feature configuration; correlation filter

Cite as: Tu Z Z, Pan W L, Duan Y S, et al. RGBT tracking via reliable feature configuration. Sci China Inf Sci, 2022, 65(4): 142101, doi: 10.1007/s11432-020-3160-5

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

On learning the right attention point for feature enhancement
Lin, Liqiang; Huang, Pengdi; Fu, Chi-Wing; Xu, Kai; Zhang, Hao; Huang, Hui
Sci China Inf Sci, 2023, 66(1): 112107

Keywords: point convolution; feature enhancement; attention point; deep neural network

Cite as: Lin L Q, Huang P D, Fu C-W, et al. On learning the right attention point for feature enhancement. Sci China Inf Sci, 2023, 66(1): 112107, doi: 10.1007/s11432-021-3431-9

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Augmented FCN: rethinking context modeling for semantic segmentation
Zhang, Dong; Zhang, Liyan; Tang, Jinhui
Sci China Inf Sci, 2023, 66(4): 142105

Keywords: semantic segmentation; context modeling; long-range dependencies; attention mechanism

Cite as: Zhang D, Zhang L Y, Tang J H. Augmented FCN: rethinking context modeling for semantic segmentation. Sci China Inf Sci, 2023, 66(4): 142105, doi: 10.1007/s11432-021-3590-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Siamese transformer with hierarchical concept embedding for fine-grained image recognition
Lyu, Yilin; Jing, Liping; Wang, Jiaqi; Guo, Mingzhe; Wang, Xinyue; Yu, Jian
Sci China Inf Sci, 2023, 66(3): 132107

Keywords: fine-grained image recognition; transformer; hierarchical concept embedding; adaptive sampling; Siamese network

Cite as: Lyu Y L, Jing L P, Wang J Q, et al. Siamese transformer with hierarchical concept embedding for fine-grained image recognition. Sci China Inf Sci, 2023, 66(3): 132107, doi: 10.1007/s11432-022-3586-y

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Heterogeneous memory enhanced graph reasoning network for cross-modal retrieval
Ji, Zhong; Chen, Kexin; He, Yuqing; Pang, Yanwei; Li, Xuelong
Sci China Inf Sci, 2022, 65(7): 172104

Keywords: cross-modal retrieval; graph reasoning; memory network; visual semantic embedding; image-text retrieval; video-text retrieval

Cite as: Ji Z, Chen K X, He Y Q, et al. Heterogeneous memory enhanced graph reasoning network for cross-modal retrieval. Sci China Inf Sci, 2022, 65(7): 172104, doi: 10.1007/s11432-021-3367-y

Special Topic: Deep Learning for Computer Vision (2023)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 5

A meaningful learning method for zero-shot semantic segmentation
Liu, Xianglong; Bai, Shihao; An, Shan; Wang, Shuo; Liu, Wei; Zhao, Xiaowei; Ma, Yuqing
Sci China Inf Sci, 2023, 66(11): 210103

Keywords: meaningful learning; zero-shot learning; semantic segmentation; conjugate conceptual correlation; fast-slow conceptual modulator

Cite as: Liu X L, Bai S H, An S, et al. A meaningful learning method for zero-shot semantic segmentation. Sci China Inf Sci, 2023, 66(11): 210103, doi: 10.1007/s11432-022-3748-5

Sparse spatial transformers for few-shot learning
Chen, Haoxing; Li, Huaxiong; Li, Yaohui; Chen, Chunlin
Sci China Inf Sci, 2023, 66(11): 210102

Keywords: few-shot learning; transformer; metric-learning; cross-attention

Cite as: Chen H X, Li H X, Li Y H, et al. Sparse spatial transformers for few-shot learning. Sci China Inf Sci, 2023, 66(11): 210102, doi: 10.1007/s11432-022-3700-8

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 5

Deep graph learning for spatially-varying indoor lighting prediction
Bai, Jiayang; Guo, Jie; Wang, Chenchen; Chen, Zhenyu; He, Zhen; Yang, Shan; Yu, Piaopiao; Zhang, Yan; Guo, Yanwen
Sci China Inf Sci, 2023, 66(3): 132106

Keywords: lighting; graph learning; augmented reality; spherical Gaussians; rendering

Cite as: Bai J Y, Guo J, Wang C C, et al. Deep graph learning for spatially-varying indoor lighting prediction. Sci China Inf Sci, 2023, 66(3): 132106, doi: 10.1007/s11432-022-3576-9

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 5

Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network
Wu, Jie; Cong, Runmin; Fang, Leyuan; Guo, Chunle; Zhang, Bob; Ghamisi, Pedram
Sci China Inf Sci, 2023, 66(1): 119105

Keywords: deep learning; remote sensing images; super-resolution; unpaired training; weak supervision

Cite as: Wu J, Cong R M, Fang L Y, et al. Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. Sci China Inf Sci, 2023, 66(1): 119105, doi: 10.1007/s11432-021-3575-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

RGB oralscan video-based orthodontic treatment monitoring
Tian, Yan; Fu, Hanshi; Wang, Hao; Liu, Yuqi; Xu, Zhaocheng; Chen, Hong; Li, Jianyuan; Wang, Ruili
Sci China Inf Sci, 2024, 67(1): 112107

Keywords: digital dentistry; object 6D pose estimation; deep learning; computer vision

Cite as: Tian Y, Fu H S, Wang H, et al. RGB oralscan video-based orthodontic treatment monitoring. Sci China Inf Sci, 2024, 67(1): 112107, doi: 10.1007/s11432-023-3847-x

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Human-object interaction detection via interactive visual-semantic graph learning
Wu, Tongtong; Duan, Fuqing; Chang, Liang; Lu, Ke
Sci China Inf Sci, 2022, 65(6): 160108

Keywords: human-object interaction; context modeling; graph learning; interactive graph; visual-semantic graph

Cite as: Wu T T, Duan F Q, Chang L, et al. Human-object interaction detection via interactive visual-semantic graph learning. Sci China Inf Sci, 2022, 65(6): 160108, doi: 10.1007/s11432-021-3427-2

An end-to-end network for co-saliency detection in one single image
Yue, Yuanhao; Zou, Qin; Yu, Hongkai; Wang, Qian; Wang, Zhongyuan; Wang, Song
Sci China Inf Sci, 2023, 66(11): 210101

Keywords: saliency detection; convolutional neural network; regional feature mapping; co-saliency detection; deep learning

Cite as: Yue Y H, Zou Q, Yu H K, et al. An end-to-end network for co-saliency detection in one single image. Sci China Inf Sci, 2023, 66(11): 210101, doi: 10.1007/s11432-022-3686-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification
Du, Lei; Wang, Huiai; Zhang, Jin; Zhang, Shu; Guo, Lei; Han, Junwei
Sci China Inf Sci, 2023, 66(4): 142106

Keywords: multimodal brain imaging correlation; sparse multiview canonical correlation analysis; task imbalance; adaptive loss balancing; graph-group penalty

Cite as: Du L, Wang H A, Zhang J, et al. Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification. Sci China Inf Sci, 2023, 66(4): 142106, doi: 10.1007/s11432-021-3589-5

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

TinyDet: accurately detecting small objects within 1 GFLOPs
Chen, Shaoyu; Cheng, Tianheng; Fang, Jiemin; Zhang, Qian; Li, Yuan; Liu, Wenyu; Wang, Xinggang
Sci China Inf Sci, 2023, 66(1): 119102

Keywords: small object detection; lightweight networ; generic object detection; Tiny AI; high resolution

Cite as: Chen S Y, Cheng T H, Fang J M, et al. TinyDet: accurately detecting small objects within 1 GFLOPs. Sci China Inf Sci, 2023, 66(1): 119102, doi: 10.1007/s11432-021-3504-4

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Repeatable adaptive keypoint detection via self-supervised learning
Yan, Pei; Tan, Yihua; Tai, Yuan
Sci China Inf Sci, 2022, 65(11): 212103

Keywords: keypoint detection; convolutional neural network; image matching; self-supervised learning; repeatable

Cite as: Yan P, Tan Y H, Tai Y. Repeatable adaptive keypoint detection via self-supervised learning. Sci China Inf Sci, 2022, 65(11): 212103, doi: 10.1007/s11432-021-3364-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation
Xu, Qing; Xi, Xiaoming; Meng, Xianjing; Qin, Zheyun; Nie, Xiushan; Wu, Yongjian; Zhou, Dongsheng; Qu, Yi; Li, Chenglong; Yin, Yilong
Sci China Inf Sci, 2022, 65(9): 192102

Keywords: ultrasound image; axillary lymph nodes segmentation; difficulty-aware segmentation; graph with spatial attention

Cite as: Xu Q, Xi X M, Meng X J, et al. Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation. Sci China Inf Sci, 2022, 65(9): 192102, doi: 10.1007/s11432-020-3079-8

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 3

Indoor layout programming via virtual navigation detectors
Fu, Qiang; Fu, Hongbo; Deng, Zhigang; Li, Xueming
Sci China Inf Sci, 2022, 65(8): 189101

Keywords: 3d modeling; indoor scene synthesis; layout programming; indoor navigation; deep reinforcement learning

Cite as: Fu Q, Fu H B, Deng Z G, et al. Indoor layout programming via virtual navigation detectors. Sci China Inf Sci, 2022, 65(8): 189101, doi: 10.1007/s11432-019-2930-x

HAPNet: a head-aware pedestrian detection network associated with the affinity field
Ding, Jiali; Liu, Tie; Zhao, Yun; Yuan, Zejian; Shang, Yuanyuan
Sci China Inf Sci, 2022, 65(6): 160102

Keywords: pedestrian detection; head detection; head-aware pedestrian network; affinity module; occlusion

Cite as: Ding J L, Liu T, Zhao Y, et al. HAPNet: a head-aware pedestrian detection network associated with the affinity field. Sci China Inf Sci, 2022, 65(6): 160102, doi: 10.1007/s11432-021-3300-2

Confidence-weighted mutual supervision on dual networks for unsupervised cross-modality image segmentation
Chen, Yajie; Yang, Xin; Bai, Xiang
Sci China Inf Sci, 2023, 66(11): 210104

Keywords: domain adaptation; pseudo label; mutual supervision; cross-modality; image segmentation

Cite as: Chen Y J, Yang X, Bai X. Confidence-weighted mutual supervision on dual networks for unsupervised cross-modality image segmentation. Sci China Inf Sci, 2023, 66(11): 210104, doi: 10.1007/s11432-022-3871-0

MOOP Supplementary Video Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

ASPPR: active single-image piecewise planar 3D reconstruction based on geometric priors
Wang, Wei; Dong, Qiulei; Hu, Zhanyi
Sci China Inf Sci, 2023, 66(7): 174101

Keywords: single-image reconstruction; geometric prior; user interaction; multi-plane optimization; convolutional neural network

Cite as: Wang W, Dong Q L, Hu Z Y. ASPPR: active single-image piecewise planar 3D reconstruction based on geometric priors. Sci China Inf Sci, 2023, 66(7): 174101, doi: 10.1007/s11432-022-3631-6

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Improving pseudo-labeling with reliable inter-camera distance encouragement for unsupervised person re-identification
Chen, Yiyu; Fan, Zheyi; Chen, Shuni; Zhu, Yixuan
Sci China Inf Sci, 2023, 66(5): 152103

Keywords: person re-identification; noise label; camera variation; clustering; deep learning

Cite as: Chen Y Y, Fan Z Y, Chen S N, et al. Improving pseudo-labeling with reliable inter-camera distance encouragement for unsupervised person re-identification. Sci China Inf Sci, 2023, 66(5): 152103, doi: 10.1007/s11432-022-3628-y

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Reflectance edge guided networks for detail-preserving intrinsic image decomposition
Li, Quewei; Guo, Jie; Wu, Zhengyi; Fei, Yang; Guo, Yanwen
Sci China Inf Sci, 2023, 66(2): 122105

Keywords: intrinsic image decomposition; detail-preserving; reflectance edges

Cite as: Li Q W, Guo J, Wu Z Y, et al. Reflectance edge guided networks for detail-preserving intrinsic image decomposition. Sci China Inf Sci, 2023, 66(2): 122105, doi: 10.1007/s11432-021-3481-3

RESEARCH PAPER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Model-guided 3D stitching for augmented virtual environment
Zhou, Zhong; Meng, Ming; Zhou, Yi; Zhu, Zhe; You, Jingdi
Sci China Inf Sci, 2023, 66(1): 112106

Keywords: 3D stitching; video model; multiple video visualization; augmented virtual environment

Cite as: Zhou Z, Meng M, Zhou Y, et al. Model-guided 3D stitching for augmented virtual environment. Sci China Inf Sci, 2023, 66(1): 112106, doi: 10.1007/s11432-021-3323-2

MOOP Supplementary Video Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection
Zhong, Yuanhong; Chen, Xia; Jiang, Jinyang; Ren, Fan
Sci China Inf Sci, 2022, 65(9): 194101

Keywords: anomaly detection; dual-encoder single-decoder network; reverse erasure; compact feature representation; deep support vector data description

Cite as: Zhong Y H, Chen X, Jiang J Y, et al. Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection. Sci China Inf Sci, 2022, 65(9): 194101, doi: 10.1007/s11432-021-3444-9

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

VNet: a versatile network to train real-time semantic segmentation models on a single GPU
Li, Wenxing; Lin, Ning; Zhang, Mingzhe; Lu, Hang; Chen, Xiaoming; Li, Xiaowei
Sci China Inf Sci, 2022, 65(3): 139105

Keywords: efficiency; machine learning; real-time systems; segmentation; light-weight

Cite as: Li W X, Lin N, Zhang M Z, et al. VNet: a versatile network to train real-time semantic segmentation models on a single GPU. Sci China Inf Sci, 2022, 65(3): 139105, doi: 10.1007/s11432-020-2971-8

MOOP Video Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

Automatic image matting and fusing for portrait synthesis
Yi, Zhike; Song, Wenfeng; Li, Shuai; Hao, Aimin
Sci China Inf Sci, 2022, 65(2): 124101

Keywords: neural network; automatic image matting; image fusion; deep learning; gradient domain

Cite as: Yi Z K, Song W F, Li S, et al. Automatic image matting and fusing for portrait synthesis. Sci China Inf Sci, 2022, 65(2): 124101, doi: 10.1007/s11432-021-3279-y

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AR-CNN: an attention ranking network for learning urban perception
Li, Zhetao; Chen, Ziwen; Zheng, Wei-Shi; Oh, Sangyoon; Nguyen, Kien
Sci China Inf Sci, 2022, 65(1): 112104

Keywords: ranking network; urban perception; attribute learning; attention network; colour and texture

Cite as: Li Z T, Chen Z W, Zheng W-S, et al. AR-CNN: an attention ranking network for learning urban perception. Sci China Inf Sci, 2022, 65(1): 112104, doi: 10.1007/s11432-019-2899-9

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Rethinking attribute localization for zero-shot learning
Chen, Shuhuang; Chen, Shiming; Xie, Guo-Sen; Shu, Xiangbo; You, Xinge; Li, Xuelong
Sci China Inf Sci, 2024, 67(7): 172103

Keywords: zero-shot learning; attention mechanism; attribute localization; image classification

Cite as: Chen S H, Chen S M, Xie G-S, et al. Rethinking attribute localization for zero-shot learning. Sci China Inf Sci, 2024, 67(7): 172103, doi: 10.1007/s11432-023-4051-9

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Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation
Xu, Zongyi; Huang, Xiaoshui; Yuan, Bo; Wang, Yangfu; Zhang, Qianni; Li, Weisheng; Gao, Xinbo
Sci China Inf Sci, 2024, 67(4): 142104

Keywords: point cloud semantic segmentation; large-scale indoor point clouds; point cloud alignment; overlap estimation; label transfer

Cite as: Xu Z Y, Huang X S, Yuan B, et al. Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation. Sci China Inf Sci, 2024, 67(4): 142104, doi: 10.1007/s11432-022-3928-x

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Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration
Yang, Bangbang; Huang, Zhaoyang; Li, Yijin; Zhou, Han; Li, Hongsheng; Zhang, Guofeng; Bao, Hujun
Sci China Inf Sci, 2023, 66(7): 172101

Keywords: point cloud registration; cross-modal feature fusion; multi-view feature fusion; computer vision; deep learning

Cite as: Yang B B, Huang Z Y, Li Y J, et al. Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration. Sci China Inf Sci, 2023, 66(7): 172101, doi: 10.1007/s11432-022-3604-6

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Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors
Hussain, Sumaira; Xi, Xiaoming; Ullah, Inam; Naim, Syeda Wajiha; Shaheed, Kashif; Tian, Cuihuan; Yin, Yilong
Sci China Inf Sci, 2023, 66(2): 122104

Keywords: breast tumor; ultrasound image segmentation; deep neural network; difficulty-awareness

Cite as: Hussain S, Xi X M, Ullah I, et al. Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors. Sci China Inf Sci, 2023, 66(2): 122104, doi: 10.1007/s11432-021-3340-y

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BiTGAN: bilateral generative adversarial networks for Chinese ink wash painting style transfer
He, Xiao; Zhu, Mingrui; Wang, Nannan; Wang, Xiaoyu; Gao, Xinbo
Sci China Inf Sci, 2023, 66(1): 119104

Keywords: Chinese ink wash painting; image style transfer; image-to-image translation; generative adversarial networks; GAN; bilateral-generator

Cite as: He X, Zhu M R, Wang N N, et al. BiTGAN: bilateral generative adversarial networks for Chinese ink wash painting style transfer. Sci China Inf Sci, 2023, 66(1): 119104, doi: 10.1007/s11432-022-3541-x

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Learning cross-modal interaction for RGB-T tracking
Xu, Chunyan; Cui, Zhen; Wang, Chaoqun; Zhou, Chuanwei; Yang, Jian
Sci China Inf Sci, 2023, 66(1): 119103

Keywords: RGB-T tracking; cross-modal interaction; pixel-level correlation; relation-level correlation; visual object tracking

Cite as: Xu C Y, Cui Z, Wang C Q, et al. Learning cross-modal interaction for RGB-T tracking. Sci China Inf Sci, 2023, 66(1): 119103, doi: 10.1007/s11432-021-3518-y

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Image co-segmentation based on pyramid features cross-correlation network
Chen, Jia; Chen, Yasong; Li, Weihao; Liu, Zhi; Liu, Sannyuya; Yang, Zongkai
Sci China Inf Sci, 2023, 66(1): 119101

Keywords: image co-segmentation; pyramid features; deep learning; pair-wise manner; VGG16

Cite as: Chen J, Chen Y S, Li W H, et al. Image co-segmentation based on pyramid features cross-correlation network. Sci China Inf Sci, 2023, 66(1): 119101, doi: 10.1007/s11432-021-3515-6

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A novel vision-based multi-task robotic grasp detection method for multi-object scenes
Song, Yanan; Gao, Liang; Li, Xinyu; Shen, Weiming; Peng, Kunkun
Sci China Inf Sci, 2022, 65(12): 222104

Keywords: robotic grasp detection; multi-object scene; object detection; grasp matching strategy; deep learning

Cite as: Song Y N, Gao L, Li X Y, et al. A novel vision-based multi-task robotic grasp detection method for multi-object scenes. Sci China Inf Sci, 2022, 65(12): 222104, doi: 10.1007/s11432-021-3558-y

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Reconstructing and editing fluids using the adaptive multilayer external force guiding model
Nie, Xiaoying; Hu, Yong; Shen, Xukun; Su, Zhiyuan
Sci China Inf Sci, 2022, 65(11): 212102

Keywords: reconstructing fluids; editing fluids; monocular videos; adaptive multilayer external force guiding model; generation and extinction model

Cite as: Nie X Y, Hu Y, Shen X K, et al. Reconstructing and editing fluids using the adaptive multilayer external force guiding model. Sci China Inf Sci, 2022, 65(11): 212102, doi: 10.1007/s11432-020-3322-x

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
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Few-shot font style transfer with multiple style encoders
Zhang, Kejun; Zhang, Rui; Wu, Yonglin; Li, Yifei; Ling, Yonggen; Wang, Bolin; Sun, Lingyun; Li, Yingming
Sci China Inf Sci, 2022, 65(6): 160109

Keywords: font generation; image-to-image translation; generative adversarial network; multi-task learning; font fusion; style transfer

Cite as: Zhang K J, Zhang R, Wu Y L, et al. Few-shot font style transfer with multiple style encoders. Sci China Inf Sci, 2022, 65(6): 160109, doi: 10.1007/s11432-021-3435-8

Special Focus on Deep Learning for Computer Vision (2022)
SCIS Selected Articles on Deep Learning for Computer Vision (DLCV)
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Comprehensive benchmark datasets for Amharic scene text detection and recognition
DIKUBAB, Wondimu; LIANG, Dingkang; LIAO, Minghui; BAI, Xiang
Sci China Inf Sci, 2022, 65(6): 160106

Keywords: Amharic script; scene text; text detection; text recognition; Amharic text

Cite as: Dikubab W, Liang D K, Liao M H, et al. Comprehensive benchmark datasets for Amharic scene text detection and recognition. Sci China Inf Sci, 2022, 65(6): 160106, doi: 10.1007/s11432-021-3447-9

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Self-adjustable hyper-graphs for video pose estimation based on spatial-temporal subspace construction
Ma, Jizhou; Li, Shuai; Qin, Hong; Hao, Aimin; Zhao, Qinping
Sci China Inf Sci, 2022, 65(3): 139101

Keywords: video pose estimation; self-adjustable hyper-graph; spatial-temporal subspace exploration; maximum matching subspace operator; action pattern

Cite as: Ma J Z, Li S, Qin H, et al. Self-adjustable hyper-graphs for video pose estimation based on spatial-temporal subspace construction. Sci China Inf Sci, 2022, 65(3): 139101, doi: 10.1007/s11432-019-2869-x

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Multi-receptive field interaction network for shape from polarization
Peng Y N, Liu R, Zhang Z Y, et al
Sci China Inf Sci, 2025, 68(1): 119102

Keywords: shape from polarization; 3D reconstruction; deep learning; multi-receptive field interaction; surface normal

Cite as: Peng Y N, Liu R, Zhang Z Y, et al. Multi-receptive field interaction network for shape from polarization. Sci China Inf Sci, 2025, 68(1): 119102, doi: 10.1007/s11432-024-4212-2

PERSPECTIVE Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales
Chen, Baoquan; Lin, Zhouchen; Xi, Peng; Liu, Yebin; Chen, Xiaodian
Sci China Inf Sci, 2024, 67(11): 216101

Keywords: computational imaging; embodied AI; generative AI; microscopic imaging; time-domain astronomy

Cite as: Chen B Q, Lin Z C, Xi P, et al. Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales. Sci China Inf Sci, 2024, 67(11): 216101, doi: 10.1007/s11432-024-4121-0

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PointSmile: point self-supervised learning via curriculum mutual information
Li, Xin; Wei, Mingqiang; Chen, Songcan
Sci China Inf Sci, 2024, 67(11): 212104

Keywords: PointSmile; self-supervised learning; curriculum mutual information; point cloud; representation learning

Cite as: Li X, Wei M Q, Chen S C. PointSmile: point self-supervised learning via curriculum mutual information. Sci China Inf Sci, 2024, 67(11): 212104, doi: 10.1007/s11432-023-4085-9

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Robust video question answering via contrastive cross-modality representation learning
Yang, Xun; Zeng, Jianming; Guo, Dan; Wang, Shanshan; Dong, Jianfeng; Wang, Meng
Sci China Inf Sci, 2024, 67(10): 202104

Keywords: video question answering; cross-modality fusion; contrastive learning; cross-media reasoning

Cite as: Yang X, Zeng J M, Guo D, et al. Robust video question answering via contrastive cross-modality representation learning. Sci China Inf Sci, 2024, 67(10): 202104, doi: 10.1007/s11432-023-4084-6

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Saliency-guided meta-hallucinator for few-shot learning
Zhang, Hongguang; Liu, Chun; Wang, Jiandong; Ma, Linru; Koniusz, Piotr; Torr, Philip H. S.; Yang, Lin
Sci China Inf Sci, 2024, 67(10): 202103

Keywords: few-shot learning; saliency detection; object recognition; anomaly detection; computer vision

Cite as: Zhang H G, Liu C, Wang J D, et al. Saliency-guided meta-hallucinator for few-shot learning. Sci China Inf Sci, 2024, 67(10): 202103, doi: 10.1007/s11432-023-4113-1

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Relative difficulty distillation for semantic segmentation
Liang, Dong; Sun, Yue; Du, Yun; Chen, Songcan; Huang, Sheng-Jun
Sci China Inf Sci, 2024, 67(9): 192105

Keywords: knowledge distillation; semantic segmentation; relative difficulty; sample weighting; prediction discrepancy

Cite as: Liang D, Sun Y, Du Y, et al. Relative difficulty distillation for semantic segmentation. Sci China Inf Sci, 2024, 67(9): 192105, doi: 10.1007/s11432-023-4061-2

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Wavelet-domain feature decoupling for weakly supervised multi-object tracking
Li, Yu-Lei; Yan, Yan; Lu, Yang; Wang, Hanzi
Sci China Inf Sci, 2024, 67(8): 189102

Keywords: multi-object tracking; weakly supervised learning; feature-decoupling transformer; noisy intermediate features; well-refined embedding features

Cite as: Li Y-L, Yan Y, Lu Y, et al. Wavelet-domain feature decoupling for weakly supervised multi-object tracking. Sci China Inf Sci, 2024, 67(8): 189102, doi: 10.1007/s11432-022-4097-y

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SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation
Ma, Yuqing; Liu, Wei; Gao, Yajun; Yuan, Yang; Bai, Shihao; Qin, Haotong; Liu, Xianglong
Sci China Inf Sci, 2024, 67(8): 182104

Keywords: spatiotemporal predictive learning; knowledge transfer; bidirectional distillation network; level-specific meta-adapter; coarse-to-fine training

Cite as: Ma Y Q, Liu W, Gao Y J, et al. SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation. Sci China Inf Sci, 2024, 67(8): 182104, doi: 10.1007/s11432-022-3859-8

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Towards imbalanced motion: part-decoupling network for video portrait segmentation
Yu, Tianshu; Xia, Changqun; Li, Jia
Sci China Inf Sci, 2024, 67(7): 172104

Keywords: video portrait segmentation; imbalanced motion; unsupervised part decoupling; motion correlation; inter-frame attention

Cite as: Yu T S, Xia C Q, Li J. Towards imbalanced motion: part-decoupling network for video portrait segmentation. Sci China Inf Sci, 2024, 67(7): 172104, doi: 10.1007/s11432-023-4030-y

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Pyramid-resolution person restoration for cross-resolution person re-identification
Peng, Chunlei; Wang, Bo; Liu, Decheng; Wang, Nannan; Gao, Xinbo
Sci China Inf Sci, 2024, 67(6): 169101

Keywords: pyramid-resolution; cross-resolution person ReID; image restoration; feature distance fusion; multi-resolution person ReID

Cite as: Peng C L, Wang B, Liu D C, et al. Pyramid-resolution person restoration for cross-resolution person re-identification. Sci China Inf Sci, 2024, 67(6): 169101, doi: 10.1007/s11432-023-4023-y

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Meta label associated loss for fine-grained visual recognition
Li, Yanchao; Xiao, Fu; Li, Hao; Li, Qun; Yu, Shui
Sci China Inf Sci, 2024, 67(6): 162102

Keywords: label associated loss; weighting noisy samples; fine-grained visual recognition; noise-tolerant learning; meta-learning

Cite as: Li Y C, Xiao F, Li H, et al. Meta label associated loss for fine-grained visual recognition. Sci China Inf Sci, 2024, 67(6): 162102, doi: 10.1007/s11432-023-3922-2

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SAM3D: zero-shot 3D object detection via the segment anything model
Zhang, Dingyuan; Liang, Dingkang; Yang, Hongcheng; Zou, Zhikang; Ye, Xiaoqing; Liu, Zhe; Bai, Xiang
Sci China Inf Sci, 2024, 67(4): 149101

Keywords: Zero-shot 3D Object Detection; Foundation Model; Segment Anything Model; BEV Perception; Segmentation

Cite as: Zhang D Y, Liang D K, Yang H C, et al. SAM3D: zero-shot 3D object detection via the segment anything model. Sci China Inf Sci, 2024, 67(4): 149101, doi: 10.1007/s11432-023-3943-6

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Scene text recognition via dual character counting-aware visual and semantic modeling network
Xiao, Ke; Zhu, Anna; Iwana, Brian Kenji; Liu, Cheng-Lin
Sci China Inf Sci, 2024, 67(3): 139101

Keywords: scene text recognition; language model; document analysis; deep learning; attention mechanism

Cite as: Xiao K, Zhu A N, K Iwana B K, et al. Scene text recognition via dual character counting-aware visual and semantic modeling network. Sci China Inf Sci, 2024, 67(3): 139101, doi: 10.1007/s11432-023-3935-8

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A unified user behavior model for trajectory-based tasks with different types of path constraints
Zhang, Hao; Huang, Jin; Tu, Huawei; Tian, Feng; Dai, Guozhong; Wang, Hongan
Sci China Inf Sci, 2023, 66(10): 204101

Keywords: human-computer interaction; user behavior modeling; artificial potential field; trajectory-based task; trajectory predicting

Cite as: Zhang H, Huang J, Tu H W, et al. A unified user behavior model for trajectory-based tasks with different types of path constraints. Sci China Inf Sci, 2023, 66(10): 204101, doi: 10.1007/s11432-023-3779-5

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NeuralReshaper: single-image human-body retouching with deep neural networks
Chen, Beijia; Shen, Yuefan; Fu, Hongbo; Chen, Xiang; Zhou, Kun; Zheng, Youyi
Sci China Inf Sci, 2023, 66(9): 199101

Keywords: image manipulation; human-body reshaping; deep neural networks; generative adversarial network; self-supervised learning

Cite as: Chen B J, Shen Y F, Fu H B, et al. NeuralReshaper: single-image human-body retouching with deep neural networks. Sci China Inf Sci, 2023, 66(9): 199101, doi: 10.1007/s11432-022-3675-1

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An energy constraint position-based dynamics with corrected SPH kernel
Cao, Wei; Lyu, Luan; Yang, Zhixin; Wu, Enhua
Sci China Inf Sci, 2023, 66(1): 112108

Keywords: position-based dynamics; deformable solids; continuum mechanics

Cite as: Cao W, Lyu L, Yang Z X, et al. An energy constraint position-based dynamics with corrected SPH kernel. Sci China Inf Sci, 2023, 66(1): 112108, doi: 10.1007/s11432-021-3464-2

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Ensemble of half-space trees for hyperspectral anomaly detection
Huang, Ju; Li, Xuelong
Sci China Inf Sci, 2022, 65(9): 192103

Keywords: hyperspectral image; anomaly detection; extended morphological attribute profile; mass esti- mation; half-space tree

Cite as: Huang J, Li X L. Ensemble of half-space trees for hyperspectral anomaly detection. Sci China Inf Sci, 2022, 65(9): 192103, doi: 10.1007/s11432-021-3310-x

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3DPF-FBN: video inpainting by jointly 3D-patch filling and neural network refinement
Huang, Yan; Yang, Chuanchuan; Chen, Zhangyuan
Sci China Inf Sci, 2022, 65(7): 179103

Keywords: video inpainting; patch-based searching; optical flow; neural network; refinement

Cite as: Huang Y, Yang C C, Chen Z Y. 3DPF-FBN: video inpainting by jointly 3D-patch filling and neural network refinement. Sci China Inf Sci, 2022, 65(7): 179103, doi: 10.1007/s11432-019-2956-6