Qi, B.[Bin],
Ghazal, M.[Mohammed],
Amer, A.[Aishy],
Robust Global Motion Estimation Oriented to Video Object Segmentation,
IP(17), No. 6, June 2008, pp. 958-967.
IEEE DOI
0711
BibRef
Earlier: A1, A3, Only:
Robust and Fast Global Motion Estimation Oriented to Video Object
Segmentation,
ICIP05(I: 153-156).
IEEE DOI
0512
BibRef
Yang, J.,
Price, B.,
Shen, X.,
Lin, Z.,
Yuan, J.,
Fast Appearance Modeling for Automatic Primary Video Object
Segmentation,
IP(25), No. 2, February 2016, pp. 503-515.
IEEE DOI
1601
Adaptation models
BibRef
Koh, Y.J.,
Kim, C.S.,
Unsupervised Primary Object Discovery in Videos Based on Evolutionary
Primary Object Modeling With Reliable Object Proposals,
IP(26), No. 11, November 2017, pp. 5203-5216.
IEEE DOI
1709
BibRef
And:
Primary Object Segmentation in Videos Based on Region Augmentation
and Reduction,
CVPR17(7417-7425)
IEEE DOI
1711
Color, Motion segmentation, Object segmentation, Proposals,
Target tracking, Video sequences, Videos.
POD algorithm, evolutionary primary object modeling technique,
foreground confidence, motion-based object proposals,
BibRef
Koh, Y.J.,
Kim, C.S.,
CDTS: Collaborative Detection, Tracking, and Segmentation for Online
Multiple Object Segmentation in Videos,
ICCV17(3621-3629)
IEEE DOI
1802
image segmentation, image sequences, object detection,
object tracking, video signal processing, CDTS,
Videos
BibRef
Jang, W.D.[Won-Dong],
Kim, C.S.[Chang-Su],
Semi-supervised Video Object Segmentation Using Multiple Random Walkers,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Koh, Y.J.[Yeong Jun],
Lee, Y.Y.[Young-Yoon],
Kim, C.S.[Chang-Su],
Sequential Clique Optimization for Video Object Segmentation,
ECCV18(XIV: 537-556).
Springer DOI
1810
BibRef
Koh, Y.J.,
Jang, W.D.[Won-Dong],
Kim, C.S.[Chang-Su],
POD: Discovering Primary Objects in Videos Based on Evolutionary
Refinement of Object Recurrence, Background, and Primary Object
Models,
CVPR16(1068-1076)
IEEE DOI
1612
BibRef
Jang, W.D.[Won-Dong],
Kim, C.S.[Chang-Su],
Online Video Object Segmentation via Convolutional Trident Network,
CVPR17(7474-7483)
IEEE DOI
1711
Decoding, Feature extraction, Image segmentation,
Motion segmentation, Object segmentation, Streaming media, Target, tracking
BibRef
Lee, S.H.,
Jang, W.D.[Won-Dong],
Kim, C.S.[Chang-Su],
Contour-Constrained Superpixels for Image and Video Processing,
CVPR17(5863-5871)
IEEE DOI
1711
Cost function, Image color analysis,
Image segmentation, Labeling, Linear programming, Pattern, matching
BibRef
Jang, W.D.[Won-Dong],
Lee, C.,
Kim, C.S.[Chang-Su],
Primary Object Segmentation in Videos via Alternate Convex
Optimization of Foreground and Background Distributions,
CVPR16(696-704)
IEEE DOI
1612
BibRef
Jang, W.D.[Won-Dong],
Kim, C.S.[Chang-Su],
Streaming Video Segmentation via Short-Term Hierarchical Segmentation
and Frame-by-Frame Markov Random Field Optimization,
ECCV16(VI: 599-615).
Springer DOI
1611
BibRef
Liu, Z.,
Wang, L.,
Hua, G.,
Zhang, Q.,
Niu, Z.,
Wu, Y.,
Zheng, N.,
Joint Video Object Discovery and Segmentation by Coupled Dynamic
Markov Networks,
IP(27), No. 12, December 2018, pp. 5840-5853.
IEEE DOI
1810
Object segmentation, Noise measurement, Proposals,
Markov random fields, Task analysis, Probabilistic logic,
probabilistic graphical model
BibRef
Bhatti, A.H.[Asma Hamza],
Rahman, A.U.[Anis Ur],
Butt, A.A.[Asad Anwar],
Unsupervised video object segmentation using conditional random fields,
SIViP(13), No. 1, February 2019, pp. 9-16.
WWW Link.
1901
BibRef
Earlier:
Video segmentation using spectral clustering on superpixels,
ICIP16(869-873)
IEEE DOI
1610
Color
BibRef
Gu, S.[Song],
Wang, J.[Jian],
Du, Y.J.[Ying-Jie],
Zhang, W.R.[Wei-Rui],
Hao, W.[Wei],
Zhou, D.M.[Dong-Mei],
Online video object segmentation via LRS representation,
IET-CV(13), No. 5, August 2019, pp. 469-479.
DOI Link
1908
BibRef
Chacon-Murguia, M.I.[Mario I.],
Guzman-Pando, A.[Abimael],
Ramirez-Alonso, G.[Graciela],
Ramirez-Quintana, J.A.[Juan A.],
A novel instrument to compare dynamic object detection algorithms,
IVC(88), 2019, pp. 19-28.
Elsevier DOI
1908
Evaluation, Motion Segmentation. Analysis of Video object detection.
Dynamic object detection, Algorithm methodology comparison, Video analysis
BibRef
Guzman-Pando, A.[Abimael],
Chacon-Murguia, M.I.[Mario I.],
DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving
Objects,
IP(30), 2021, pp. 7090-7100.
IEEE DOI
2108
Biological system modeling, Birds, Databases, Visualization,
Training, Feature extraction, Brain modeling,
eagle vision system
BibRef
Zhuo, T.,
Cheng, Z.,
Zhang, P.,
Wong, Y.,
Kankanhalli, M.,
Unsupervised Online Video Object Segmentation With Motion Property
Understanding,
IP(29), No. 1, 2020, pp. 237-249.
IEEE DOI
1910
image denoising, image fusion, image motion analysis,
image segmentation, object detection, unsupervised learning,
video understanding
BibRef
Chen, Y.W.[Yi-Wen],
Tsai, Y.H.[Yi-Hsuan],
Lin, Y.Y.[Yen-Yu],
Yang, M.H.[Ming-Hsuan],
VOSTR: Video Object Segmentation via Transferable Representations,
IJCV(128), No. 4, April 2020, pp. 931-949.
Springer DOI
2004
BibRef
Chen, Y.W.[Yi-Wen],
Tsai, Y.H.[Yi-Hsuan],
Yang, C.Y.[Chu-Ya],
Lin, Y.Y.[Yen-Yu],
Yang, M.H.[Ming-Hsuan],
Unseen Object Segmentation in Videos via Transferable Representations,
ACCV18(IV:615-631).
Springer DOI
1906
BibRef
Ammar, S.[Sirine],
Bouwmans, T.[Thierry],
Zaghden, N.[Nizar],
Neji, M.[Mahmoud],
Deep detector classifier (DeepDC) for moving objects segmentation and
classification in video surveillance,
IET-IPR(14), No. 8, 19 June 2020, pp. 1490-1501.
DOI Link
2005
BibRef
Tian, Y.[Yan],
Cheng, G.[Guohua],
Gelernter, J.[Judith],
Yu, S.[Shihao],
Song, C.[Chao],
Yang, B.[Bailin],
Joint temporal context exploitation and active learning for video
segmentation,
PR(100), 2020, pp. 107158.
Elsevier DOI
2005
Video segmentation, Deep learning, Computer vision
BibRef
Chen, Z.,
Guo, C.,
Lai, J.,
Xie, X.,
Motion-Appearance Interactive Encoding for Object Segmentation in
Unconstrained Videos,
CirSysVideo(30), No. 6, June 2020, pp. 1613-1624.
IEEE DOI
2006
Videos, Ice, Object segmentation, Encoding, Motion segmentation,
Trajectory, Decoding, Video object segmentation,
interactively constrained encoding
BibRef
Sun, M.J.[Ming-Jie],
Xiao, J.M.[Ji-Min],
Lim, E.G.[Eng Gee],
Xie, Y.C.[Yan-Chun],
Feng, J.S.[Jia-Shi],
Adaptive ROI generation for video object segmentation using
reinforcement learning,
PR(106), 2020, pp. 107465.
Elsevier DOI
2006
Model adaptation, Video object segmentation,
Reinforcement learning, Training accelerate
BibRef
Hu, P.[Ping],
Wang, G.[Gang],
Kong, X.F.[Xiang-Fei],
Kuen, J.[Jason],
Tan, Y.P.[Yap-Peng],
Motion-Guided Cascaded Refinement Network for Video Object
Segmentation,
PAMI(42), No. 8, August 2020, pp. 1957-1967.
IEEE DOI
2007
BibRef
Earlier:
CVPR18(1400-1409)
IEEE DOI
1812
Motion segmentation, Active contours, Optical imaging,
Image segmentation, Optical propagation, Task analysis,
spatial-temporal embedding.
Image segmentation, Optical sensors, Level set, Object segmentation
BibRef
Yin, Y.J.[Ying-Jie],
Xu, D.[De],
Wang, X.G.[Xin-Gang],
Zhang, L.[Lei],
AGUnet: Annotation-guided U-net for fast one-shot video object
segmentation,
PR(110), 2021, pp. 107580.
Elsevier DOI
2011
Fully-convolutional Siamese network, U-net,
Interactive image segmentation, Video object segmentation
BibRef
Gui, Y.,
Tian, Y.,
Zeng, D.J.,
Xie, Z.F.,
Cai, Y.Y.,
Reliable and Dynamic Appearance Modeling and Label Consistency
Enforcing for Fast and Coherent Video Object Segmentation With the
Bilateral Grid,
CirSysVideo(30), No. 12, December 2020, pp. 4781-4795.
IEEE DOI
2012
Motion segmentation, Object segmentation, Reliability,
Video sequences, Color, Computational modeling, Proposals,
video object segmentation
BibRef
Guzman-Pando, A.[Abimael],
Chacon-Murguia, M.I.[Mario Ignacio],
Chacon-Diaz, L.B.[Lucia B.],
Human-like evaluation method for object motion detection algorithms,
IET-CV(14), No. 8, December 2020, pp. 674-682.
DOI Link
2012
BibRef
Tan, Z.T.[Zhen-Tao],
Liu, B.[Bin],
Chu, Q.[Qi],
Zhong, H.S.[Hang-Shi],
Wu, Y.[Yue],
Li, W.H.[Wei-Hai],
Yu, N.H.[Neng-Hai],
Real Time Video Object Segmentation in Compressed Domain,
CirSysVideo(31), No. 1, January 2021, pp. 175-188.
IEEE DOI
2101
Feature extraction, Object segmentation, Motion segmentation,
Real-time systems, Task analysis, Optical imaging, feature matching
BibRef
Deng, J.,
Pan, Y.,
Yao, T.,
Zhou, W.,
Li, H.,
Mei, T.,
Single Shot Video Object Detector,
MultMed(23), 2021, pp. 846-858.
IEEE DOI
2103
Object detection, Detectors, Feature extraction, Proposals, Cats,
Airplanes, Coherence, Video object detection,
feature aggregation
BibRef
Patil, P.W.[Prashant W.],
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
Gonde, A.B.[Anil Balaji],
Deep Adversarial Network for Scene Independent Moving Object
Segmentation,
SPLetters(28), 2021, pp. 489-493.
IEEE DOI
2103
Videos, Feature extraction, Training, Decoding, Generators,
Analytical models, Transfer learning,
video surveillance
BibRef
Patil, P.W.[Prashant W.],
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
Multi-frame Recurrent Adversarial Network for Moving Object
Segmentation,
WACV21(2301-2310)
IEEE DOI
2106
Training, Convolution, Motion segmentation,
Object segmentation, Benchmark testing, Feature extraction
BibRef
Patil, P.W.[Prashant W.],
Biradar, K.M.[Kuldeep M.],
Dudhane, A.[Akshay],
Murala, S.[Subrahmanyam],
An End-to-End Edge Aggregation Network for Moving Object Segmentation,
CVPR20(8146-8155)
IEEE DOI
2008
Videos, Feature extraction, Decoding, Object segmentation,
Optical imaging, Task analysis, Visualization
BibRef
Chaudhary, S.[Sachin],
Dudhane, A.[Akshay],
Patil, P.W.[Prashant W.],
Murala, S.[Subrahmanyam],
Talbar, S.[Sanjay],
Motion estimation in hazy videos,
PRL(150), 2021, pp. 130-138.
Elsevier DOI
2109
Scene understanding, Motion estimation
BibRef
Wang, X.G.[Xing-Gang],
Huang, Z.J.[Zhao-Jin],
Liao, B.C.[Ben-Cheng],
Huang, L.C.[Li-Chao],
Gong, Y.C.[Yong-Chao],
Huang, C.[Chang],
Real-time and accurate object detection in compressed video by long
short-term feature aggregation,
CVIU(206), 2021, pp. 103188.
Elsevier DOI
2104
BibRef
Jiang, C.[Cansen],
Paudel, D.P.[Danda Pani],
Fofi, D.[David],
Fougerolle, Y.[Yohan],
Demonceaux, C.[Cédric],
Moving Object Detection by 3D Flow Field Analysis,
ITS(22), No. 4, April 2021, pp. 1950-1963.
IEEE DOI
2104
Trajectory, Clustering algorithms,
Motion segmentation, Image reconstruction, Dynamics, Tracking,
3D map reconstruction
BibRef
Liu, W.,
Lin, G.,
Zhang, T.,
Liu, Z.,
Guided Co-Segmentation Network for Fast Video Object Segmentation,
CirSysVideo(31), No. 4, April 2021, pp. 1607-1617.
IEEE DOI
2104
Feature extraction, Object segmentation, Task analysis,
Motion segmentation, Pipelines, Decoding, Search problems,
semi-supervised
BibRef
Wang, M.G.[Min-Gui],
Cui, D.[Di],
Wu, L.F.[Li-Fang],
Jian, M.[Meng],
Chen, Y.K.[Yu-Kun],
Wang, D.[Dong],
Liu, X.[Xu],
Weakly-supervised video object localization with attentive
spatio-temporal correlation,
PRL(145), 2021, pp. 232-239.
Elsevier DOI
2104
Video object localization, Spatio-temporal correlation, Weakly-supervised
BibRef
Chen, C.Z.[Chengli-Zhao],
Wang, G.T.[Guo-Tao],
Peng, C.[Chong],
Fang, Y.M.[Yu-Ming],
Zhang, D.W.[Ding-Wen],
Qin, H.[Hong],
Exploring Rich and Efficient Spatial Temporal Interactions for
Real-Time Video Salient Object Detection,
IP(30), 2021, pp. 3995-4007.
IEEE DOI
2104
Spatiotemporal phenomena, Convolution, Optical sensors, Decoding,
Optical network units, Optical imaging,
multiscale spatiotemporal deep features
BibRef
Xu, M.,
Fu, P.,
Liu, B.,
Li, J.,
Multi-Stream Attention-Aware Graph Convolution Network for Video
Salient Object Detection,
IP(30), 2021, pp. 4183-4197.
IEEE DOI
2104
Spatiotemporal phenomena, Convolution, Data models, Visualization,
Adaptation models, Object segmentation, Task analysis,
node-wise attention mechanism
BibRef
Huang, Y.[Ying],
Jiang, Q.H.[Qing-Han],
Qian, Y.[Ying],
A Novel Method for Video Moving Object Detection Using Improved
Independent Component Analysis,
CirSysVideo(31), No. 6, June 2021, pp. 2217-2230.
IEEE DOI
2106
Object detection, Adaptive optics, Optical imaging,
Integrated optics, Optical noise, Source separation, threshold
BibRef
León Alcázar, J.[Juan],
Bravo, M.A.[María A.],
Jeanneret, G.[Guillaume],
Thabet, A.K.[Ali K.],
Brox, T.[Thomas],
Arbeláez, P.[Pablo],
Ghanem, B.[Bernard],
MAIN: Multi-Attention Instance Network for video segmentation,
CVIU(210), 2021, pp. 103240.
Elsevier DOI
2109
Video object segmentation, Attention mechanism, Deep learning
BibRef
Zhao, Z.J.[Zong-Ji],
Zhao, S.Y.[San-Yuan],
Shen, J.B.[Jian-Bing],
Real-time and light-weighted unsupervised video object segmentation
network,
PR(120), 2021, pp. 108120.
Elsevier DOI
2109
Unsupervised video object segmentation, Salient object detection
BibRef
Yu, S.Y.[Si-Yue],
Xiao, J.[Jimin],
Zhang, B.F.[Bing-Feng],
Lim, E.G.[Eng Gee],
Zhao, Y.[Yao],
Fast pixel-matching for video object segmentation,
SP:IC(98), 2021, pp. 116373.
Elsevier DOI
2109
Non-local pixel matching, Mask-propagation, Encoder-decoder
BibRef
Li, R.C.[Rong-Chang],
Wu, X.J.[Xiao-Jun],
Wu, C.[Cong],
Xu, T.Y.[Tian-Yang],
Kittler, J.V.[Josef V.],
Dynamic information enhancement for video classification,
IVC(114), 2021, pp. 104244.
Elsevier DOI
2109
Video classification, Spatiotemporal modelling,
Explicitly encoding, Adaptive excitation
BibRef
Garg, S.[Shubhika],
Goel, V.[Vidit],
Mask Selection and Propagation for Unsupervised Video Object
Segmentation,
WACV21(1679-1689)
IEEE DOI
2106
Pipelines, Neural networks,
Object segmentation, Task analysis
BibRef
Fujitake, M.[Masato],
Sugimoto, A.[Akihiro],
Temporal Feature Enhancement Network with External Memory for Object
Detection in Surveillance Video,
ICPR21(7684-7691)
IEEE DOI
2105
Visualization, Interpolation, Surveillance, Object detection,
Streaming media, Traffic control, Feature extraction
BibRef
Xu, M.Z.[Mu-Zhou],
Zhong, S.[Shan],
Liu, C.[Chunping],
Gong, S.R.[Sheng-Rong],
Wang, Z.H.[Zhao-Hui],
Xia, Y.[Yu],
ACCLVOS: Atrous Convolution with Spatial-Temporal ConvLSTM for Video
Object Segmentation,
ICPR21(2089-2096)
IEEE DOI
2105
Convolution, Target recognition, Video sequences,
Spatial coherence, Coherence, Object segmentation, Streaming media,
Convolution
BibRef
Kim, J.[Jaekyum],
Koh, J.[Junho],
Lee, B.[Byeongwon],
Yang, S.J.[Seung-Ji],
Choi, J.W.[Jun Won],
Video Object Detection Using Object's Motion Context and
Spatio-Temporal Feature Aggregation,
ICPR21(1604-1610)
IEEE DOI
2105
Correlation, Object detection, Detectors,
Streaming media, Logic gates, Performance gain
BibRef
Zheng, X.Y.[Xiao-Yang],
Tan, X.[Xin],
Guo, J.M.[Jian-Ming],
Ma, L.Z.[Li-Zhuang],
Learning Object Deformation and Motion Adaption for Semi-supervised
Video Object Segmentation,
ICPR21(8655-8662)
IEEE DOI
2105
Training, Adaptation models, Shape, Annotations, Video sequences,
Training data, Object segmentation, video object segmentation,
semi-supervision
BibRef
Rahmon, G.[Gani],
Bunyak, F.[Filiz],
Seetharaman, G.[Guna],
Palaniappan, K.[Kannappan],
Motion U-Net:
Multi-cue Encoder-Decoder Network for Motion Segmentation,
ICPR21(8125-8132)
IEEE DOI
2105
Training, Tensors, Motion estimation,
Video sequences, Transfer learning, Training data, moving object,
U-Net
BibRef
Siarohin, A.[Aliaksandr],
Roy, S.[Subhankar],
Lathuilière, S.[Stéphane],
Tulyakov, S.[Sergey],
Ricci, E.[Elisa],
Sebe, N.[Nicu],
Motion-supervised Co-Part Segmentation,
ICPR21(9650-9657)
IEEE DOI
2105
Training, Deep learning, Image segmentation, Motion segmentation,
Video sequences, Supervised learning, Streaming media
BibRef
Arrigoni, F.[Federica],
Magri, L.[Luca],
Pajdla, T.[Tomas],
Motion Segmentation with Pairwise Matches and Unknown Number of
Motions,
ICPR21(2896-2903)
IEEE DOI
2105
Motion segmentation, Fitting, Benchmark testing,
Trajectory, Pattern recognition, Synchronization
BibRef
Kardoost, A.[Amirhossein],
Müller, S.[Sabine],
Weickert, J.[Joachim],
Keuper, M.[Margret],
Object Segmentation Tracking from Generic Video Cues,
ICPR21(623-630)
IEEE DOI
2105
Training, Navigation, Annotations, Video sequences, Estimation,
Object segmentation, Task analysis
BibRef
Azimi, F.[Fatemeh],
Bischke, B.[Benjamin],
Palacio, S.[Sebastian],
Raue, F.[Federico],
Hees, J.[Jörn],
Dengel, A.[Andreas],
Revisiting Sequence-to-Sequence Video Object Segmentation with
Multi-Task Loss and Skip-Memory,
ICPR21(5376-5383)
IEEE DOI
2105
Measurement, Visualization, Object segmentation, Memory modules,
Pattern recognition, Task analysis
BibRef
Chen, B.[Bowen],
Ling, H.[Huan],
Zeng, X.H.[Xiao-Hui],
Gao, J.[Jun],
Xu, Z.[Ziyue],
Fidler, S.[Sanja],
Scribblebox: Interactive Annotation Framework for Video Object
Segmentation,
ECCV20(XIII:293-310).
Springer DOI
2011
BibRef
Seong, H.J.[Hong-Je],
Hyun, J.[Junhyuk],
Kim, E.T.[Eun-Tai],
Kernelized Memory Network for Video Object Segmentation,
ECCV20(XXII:629-645).
Springer DOI
2011
BibRef
Zhen, M.M.[Ming-Min],
Li, S.W.[Shi-Wei],
Zhou, L.[Lei],
Shang, J.X.[Jia-Xiang],
Feng, H.A.[Hao-An],
Fang, T.[Tian],
Quan, L.[Long],
Learning Discriminative Feature with CRF for Unsupervised Video Object
Segmentation,
ECCV20(XXVII:445-462).
Springer DOI
2011
BibRef
Seo, S.[Seonguk],
Lee, J.Y.[Joon-Young],
Han, B.H.[Bo-Hyung],
Urvos: Unified Referring Video Object Segmentation Network with a
Large-scale Benchmark,
ECCV20(XV:208-223).
Springer DOI
2011
BibRef
Li, Y.,
Chen, F.,
Yang, F.,
Li, Y.,
Jia, H.,
Xie, X.,
Fusion Target Attention Mask Generation Network For Video
Segmentation,
ICIP20(2276-2280)
IEEE DOI
2011
Solid modeling, Object segmentation, Adaptation models, Training,
Motion segmentation, Visualization, Convolution,
loss function
BibRef
Cho, S.,
Cho, M.,
Chung, T.y.,
Lee, H.,
Lee, S.,
CRVOS: Clue Refining Network For Video Object Segmentation,
ICIP20(2301-2305)
IEEE DOI
2011
Decoding, Object segmentation, Real-time systems, Streaming media,
Deconvolution, Feature extraction, Convolution,
Encoder-decoder architecture
BibRef
Zhang, L.[Lu],
Zhang, J.M.[Jian-Ming],
Lin, Z.[Zhe],
Mech, R.[Radomír],
Lu, H.C.[Hu-Chuan],
He, Y.[You],
Unsupervised Video Object Segmentation with Joint Hotspot Tracking,
ECCV20(XIV:490-506).
Springer DOI
2011
BibRef
Li, Y.[Yu],
Shen, Z.[Zhuoran],
Shan, Y.[Ying],
Fast Video Object Segmentation Using the Global Context Module,
ECCV20(X:735-750).
Springer DOI
2011
BibRef
Zhang, Y.,
Wu, Z.,
Peng, H.,
Lin, S.,
A Transductive Approach for Video Object Segmentation,
CVPR20(6947-6956)
IEEE DOI
2008
Object segmentation, Task analysis, Video sequences,
Computational modeling, History, Estimation, Data models
BibRef
Chen, X.,
Li, Z.,
Yuan, Y.,
Yu, G.,
Shen, J.,
Qi, D.,
State-Aware Tracker for Real-Time Video Object Segmentation,
CVPR20(9381-9390)
IEEE DOI
2008
Target tracking, Robustness, Task analysis, Pipelines,
Object segmentation, State estimation, Video sequences
BibRef
Luiten, J.,
Zulfikar, I.E.,
Leibe, B.,
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking,
WACV20(1989-1998)
IEEE DOI
2006
Task analysis, Proposals, Object segmentation, Forestry,
Motion segmentation, Visualization, Tracking
BibRef
Yang, Z.[Zhao],
Wang, Q.[Qiang],
Bertinetto, L.[Luca],
Bai, S.[Song],
Hu, W.M.[Wei-Ming],
Torr, P.H.S.[Philip H.S.],
Anchor Diffusion for Unsupervised Video Object Segmentation,
ICCV19(931-940)
IEEE DOI
2004
image segmentation, image sequences,
learning (artificial intelligence), object detection,
Task analysis
BibRef
Wang, Q.[Qiang],
He, Y.[Yi],
Yang, X.Y.[Xiao-Yun],
Yang, Z.[Zhao],
Torr, P.H.S.[Philip H.S.],
An Empirical Study of Detection-Based Video Instance Segmentation,
YouTube-VOS19(713-716)
IEEE DOI
2004
image segmentation, object detection, object tracking,
video signal processing,
siamese tracker
BibRef
Duarte, K.,
Rawat, Y.,
Shah, M.,
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule
Routing,
ICCV19(8479-8488)
IEEE DOI
2004
Code, Video Segmentation.
WWW Link. image motion analysis, image segmentation, image sequences,
object tracking, video signal processing, CapsuleVOS,
Computer architecture
BibRef
Oh, S.W.,
Lee, J.,
Xu, N.,
Kim, S.J.,
Video Object Segmentation Using Space-Time Memory Networks,
ICCV19(9225-9234)
IEEE DOI
2004
image segmentation, learning (artificial intelligence),
query processing, video signal processing, Benchmark testing
BibRef
Yang, Z.,
Li, P.,
Feng, Q.,
Wei, Y.,
Yang, Y.,
Going Deeper Into Embedding Learning for Video Object Segmentation,
YouTube-VOS19(697-700)
IEEE DOI
2004
image motion analysis, image segmentation,
learning (artificial intelligence), object detection, object recognition
BibRef
Luiten, J.,
Voigtlaender, P.,
Leibe, B.,
Exploring the Combination of PReMVOS, BoLTVOS and UnOVOST for the
2019 YouTube-VOS Challenge,
YouTube-VOS19(705-708)
IEEE DOI
2004
image segmentation, object detection, object tracking,
video signal processing, UnOVOST, segmentation
BibRef
Griffin, B.A.[Brent A.],
Corso, J.J.[Jason J.],
Learning Object Depth from Camera Motion and Video Object Segmentation,
ECCV20(VII:295-312).
Springer DOI
2011
BibRef
Earlier:
BubbleNets: Learning to Select the Guidance Frame in Video Object
Segmentation by Deep Sorting Frames,
CVPR19(8906-8915).
IEEE DOI
2002
BibRef
Bhat, G.[Goutam],
Järemo Lawin, F.[Felix],
Danelljan, M.[Martin],
Robinson, A.[Andreas],
Felsberg, M.[Michael],
Van Gool, L.J.[Luc J.],
Timofte, R.[Radu],
Learning What to Learn for Video Object Segmentation,
ECCV20(II:777-794).
Springer DOI
2011
BibRef
Robinson, A.,
Järemo Lawin, F.[Felix],
Danelljan, M.[Martin],
Khan, F.S.[Fahad Shahbaz],
Felsberg, M.[Michael],
Learning Fast and Robust Target Models for Video Object Segmentation,
CVPR20(7404-7413)
IEEE DOI
2008
Image segmentation, Robustness, Object segmentation,
Adaptation models, Data models, Training, Target tracking
BibRef
Chen, Y.,
Pont-Tuset, J.,
Montes, A.,
Van Gool, L.J.,
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric
Learning,
CVPR18(1189-1198)
IEEE DOI
1812
Object segmentation, Measurement, Task analysis, Adaptive optics,
Feature extraction, Streaming media
BibRef
Johnander, J.[Joakim],
Danelljan, M.[Martin],
Brissman, E.[Emil],
Khan, F.S.[Fahad Shahbaz],
Felsberg, M.[Michael],
A Generative Appearance Model for End-To-End Video Object Segmentation,
CVPR19(8945-8954).
IEEE DOI
2002
BibRef
Ventura, C.[Carles],
Bellver, M.[Miriam],
Girbau, A.[Andreu],
Salvador, A.[Amaia],
Marques, F.[Ferran],
Giro-i-Nieto, X.[Xavier],
RVOS: End-To-End Recurrent Network for Video Object Segmentation,
CVPR19(5272-5281).
IEEE DOI
2002
BibRef
Xu, S.J.[Shuang-Jie],
Liu, D.Z.[Dai-Zong],
Bao, L.C.[Lin-Chao],
Liu, W.[Wei],
Zhou, P.[Pan],
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation,
CVPR19(314-323).
IEEE DOI
2002
BibRef
Khoreva, A.[Anna],
Rohrbach, A.[Anna],
Schiele, B.[Bernt],
Video Object Segmentation with Language Referring Expressions,
ACCV18(IV:123-141).
Springer DOI
1906
BibRef
And:
Video Object Segmentation with Referring Expressions,
VSeg18(IV:7-12).
Springer DOI
1905
BibRef
Han, J.,
Yang, L.,
Zhang, D.,
Chang, X.,
Liang, X.,
Reinforcement Cutting-Agent Learning for Video Object Segmentation,
CVPR18(9080-9089)
IEEE DOI
1812
Object segmentation, Task analysis, Search problems,
Computer vision, Decision making, Tracking
BibRef
Xiao, H.,
Feng, J.,
Lin, G.,
Liu, Y.,
Zhang, M.,
MoNet: Deep Motion Exploitation for Video Object Segmentation,
CVPR18(1140-1148)
IEEE DOI
1812
Motion segmentation, Feature extraction, Transforms,
Optical imaging, Optical network units, Object segmentation, Optical propagation
BibRef
Sokeh, H.S.,
Argyriou, V.,
Monekosso, D.,
Remagnino, P.,
Superframes, A Temporal Video Segmentation,
ICPR18(566-571)
IEEE DOI
1812
Clustering algorithms, Motion segmentation, Histograms, Databases,
Image segmentation, Optical imaging, Video sequences
BibRef
Xu, J.,
Song, L.,
Xie, R.,
Two-stream deep encoder-decoder architecture for fully automatic
video object segmentation,
VCIP17(1-4)
IEEE DOI
1804
image segmentation, image sequences,
learning (artificial intelligence), video signal processing,
motion segmentation
BibRef
Sun, L.[Lu],
Décombas, M.[Marc],
Lang, J.[Jochen],
Video Object Segmentation for Content-Aware Video Compression,
CRV16(116-123)
IEEE DOI
1612
BibRef
Bosch, M.[Marc],
Li, G.[Guiqin],
Wang, K.[Kai],
A two-stage video object segmentation using motion and color
information,
ICIP15(3916-3920)
IEEE DOI
1512
object segmentation; video segmentation; video summary
BibRef
Wu, Z.Y.[Zheng-Yang],
Li, F.[Fuxin],
Sukthankar, R.[Rahul],
Rehg, J.M.[James M.],
Robust video segment proposals with painless occlusion handling,
CVPR15(4194-4203)
IEEE DOI
1510
BibRef
Fragkiadaki, K.[Katerina],
Arbelaez, P.[Pablo],
Felsen, P.[Panna],
Malik, J.[Jitendra],
Learning to segment moving objects in videos,
CVPR15(4083-4090)
IEEE DOI
1510
BibRef
Pu, S.T.[Song-Tao],
Zha, H.B.[Hong-Bin],
Streaming video object segmentation with the adaptive coherence
factor,
ICIP13(4235-4238)
IEEE DOI
1402
Video object segmentation
BibRef
Meuel, H.[Holger],
Reso, M.[Matthias],
Jachalsky, J.[Jorn],
Ostermann, J.[Jorn],
Superpixel-based segmentation of moving objects for low bitrate ROI
coding systems,
AVSS13(395-400)
IEEE DOI
1311
Bandwidth
BibRef
Zhang, D.[Dong],
Javed, O.[Omar],
Shah, M.[Mubarak],
Video Object Co-segmentation by Regulated Maximum Weight Cliques,
ECCV14(VII: 551-566).
Springer DOI
1408
BibRef
Earlier:
Video Object Segmentation through Spatially Accurate and Temporally
Dense Extraction of Primary Object Regions,
CVPR13(628-635)
IEEE DOI
1309
Computer Vision; Object Segmentation; Video Segmentation
BibRef
Xiang, X.[Xiang],
Chang, H.[Hong],
Luo, J.B.[Jie-Bo],
Online Web-Data-Driven Segmentation of Selected Moving Objects in
Videos,
ACCV12(II:134-146).
Springer DOI
1304
BibRef
Ellis, L.[Liam],
Zografos, V.[Vasileios],
Online Learning for Fast Segmentation of Moving Objects,
ACCV12(II:52-65).
Springer DOI
1304
BibRef
Di, X.F.[Xiao-Fei],
Chang, H.[Hong],
Chen, X.L.[Xi-Lin],
Multi-layer Spectral Clustering for Video Segmentation,
ACCV12(II:1-12).
Springer DOI
1304
BibRef
Xiong, H.[Hao],
Wang, Z.Y.[Zhi-Yong],
He, R.J.[Ren-Jie],
Feng, D.D.,
Video Object Segmentation with Occlusion Map,
DICTA12(1-7).
IEEE DOI
1303
BibRef
Ma, T.Y.[Tian-Yang],
Latecki, L.J.[Longin Jan],
Maximum weight cliques with mutex constraints for video object
segmentation,
CVPR12(670-677).
IEEE DOI
1208
BibRef
García, A.[Alvaro],
Bescós, J.[Jesús],
Video Object Segmentation Based on Feedback Schemes Guided by a
Low-Level Scene Ontology,
ACIVS08(xx-yy).
Springer DOI
0810
BibRef
Mármol, S.B.L.[Salvador B. López],
Artner, N.M.[Nicole M.],
Ion, A.[Adrian],
Kropatsch, W.G.[Walter G.],
Beleznai, C.[Csaba],
Video Object Segmentation Using Graphs,
CIARP08(733-740).
Springer DOI
0809
BibRef
Marchadier, J.[Jocelyn],
Kropatsch, W.G.[Walter G.],
Hanbury, A.[Allan],
The Redundancy Pyramid and Its Application to Segmentation on an Image
Sequence,
DAGM04(432-439).
Springer DOI
0505
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Video Semantic Object Segmentation .