Meng, J.,
Yuan, J.,
Yang, J.,
Wang, G.,
Tan, Y.P.,
Object Instance Search in Videos via Spatio-Temporal Trajectory
Discovery,
MultMed(18), No. 1, January 2016, pp. 116-127.
IEEE DOI
1601
Find specific object.
BibRef
Maninis, K.K.,
Caelles, S.,
Chen, Y.,
Pont-Tuset, J.,
Leal-Taixé, L.,
Cremers, D.,
Van Gool, L.J.[Luc J.],
Video Object Segmentation without Temporal Information,
PAMI(41), No. 6, June 2019, pp. 1515-1530.
IEEE DOI
1905
BibRef
Earlier: A2, A1, A4, A5, A6, A7, Only:
One-Shot Video Object Segmentation,
CVPR17(5320-5329)
IEEE DOI
1711
Semantic One-Shot Video Object Segmentation (OSVOSSS)
Image segmentation, Semantics, Object segmentation, Task analysis,
Motion segmentation, Training,
instance segmentation.
Computational modeling, Shape.
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
Deng, J.J.[Jia-Jun],
Pan, Y.W.[Ying-Wei],
Yao, T.[Ting],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Mei, T.[Tao],
MINet: Meta-Learning Instance Identifiers for Video Object Detection,
IP(30), 2021, pp. 6879-6891.
IEEE DOI
2108
Object detection, Feature extraction, Detectors, Proposals,
Optical imaging, Robustness, History, Video object detection,
box association
BibRef
Yan, L.Q.[Li-Qi],
Wang, Q.F.[Qi-Fan],
Ma, S.Q.[Si-Qi],
Wang, J.G.[Jin-Gang],
Yu, C.B.[Chang-Bin],
Solve the Puzzle of Instance Segmentation in Videos: A Weakly
Supervised Framework With Spatio-Temporal Collaboration,
CirSysVideo(33), No. 1, January 2023, pp. 393-406.
IEEE DOI
2301
Videos, Image segmentation, Training, Annotations, Collaboration,
Optical flow, Task analysis, Video instance segmentation,
multi-object tracking and segmentation
BibRef
Brissman, E.[Emil],
Johnander, J.[Joakim],
Danelljan, M.[Martin],
Felsberg, M.[Michael],
Recurrent Graph Neural Networks for Video Instance Segmentation,
IJCV(131), No. 2, February 2023, pp. 471-495.
Springer DOI
2301
BibRef
Thawakar, O.[Omkar],
Narayan, S.[Sanath],
Cholakkal, H.[Hisham],
Anwer, R.M.[Rao Muhammad],
Khan, S.[Salman],
Laaksonen, J.[Jorma],
Shah, M.[Mubarak],
Khan, F.S.[Fahad Shahbaz],
Video Instance Segmentation in an Open-World,
IJCV(133), No. 1, January 2025, pp. 398-409.
Springer DOI
2501
BibRef
Thawakar, O.[Omkar],
Narayan, S.[Sanath],
Cao, J.[Jiale],
Cholakkal, H.[Hisham],
Anwer, R.M.[Rao Muhammad],
Khan, M.H.[Muhammad Haris],
Khan, S.[Salman],
Felsberg, M.[Michael],
Khan, F.S.[Fahad Shahbaz],
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split
Attention Transformer,
ECCV22(XXIX:666-681).
Springer DOI
2211
BibRef
Li, X.T.[Xiang-Tai],
He, H.[Hao],
Yang, Y.[Yibo],
Ding, H.H.[Heng-Hui],
Yang, K.[Kuiyuan],
Cheng, G.L.[Guang-Liang],
Tong, Y.H.[Yun-Hai],
Tao, D.C.[Da-Cheng],
Improving Video Instance Segmentation via Temporal Pyramid Routing,
PAMI(45), No. 5, May 2023, pp. 6594-6601.
IEEE DOI
2304
Routing, Task analysis, Feature extraction, Computer architecture,
Logic gates, Head, Microprocessors, Dynamic network,
video scene understanding
BibRef
Li, X.[Xiang],
Wang, J.L.[Jing-Lu],
Li, X.[Xiao],
Lu, Y.[Yan],
Video Instance Segmentation by Instance Flow Assembly,
MultMed(25), 2023, pp. 7469-7479.
IEEE DOI
2311
BibRef
Cao, J.[Jiale],
Pang, Y.W.[Yan-Wei],
Anwer, R.M.[Rao Muhammad],
Cholakkal, H.[Hisham],
Khan, F.S.[Fahad Shahbaz],
Shao, L.[Ling],
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation,
PAMI(45), No. 3, March 2023, pp. 3798-3812.
IEEE DOI
2302
BibRef
Earlier: A1, A3, A4, A5, A2, A6:
Sipmask: Spatial Information Preservation for Fast Image and Video
Instance Segmentation,
ECCV20(XIV:1-18).
Springer DOI
2011
Image segmentation, Training, Real-time systems, Proposals,
Feature extraction, Object detection, Task analysis,
spatial information preservation
BibRef
Ke, L.[Lei],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Occlusion-Aware Instance Segmentation Via BiLayer Network
Architectures,
PAMI(45), No. 8, August 2023, pp. 10197-10211.
IEEE DOI
2307
BibRef
Earlier:
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers,
CVPR21(4018-4027)
IEEE DOI
2111
Transformers, Image segmentation, Decoding, Magnetic heads, Head,
Convolutional neural networks, Task analysis, BCNet,
occlusion-aware video instance segmentation.
Convolutional codes, Computational modeling, Detectors, Performance gain
BibRef
Zhang, R.F.[Ru-Feng],
Kong, T.[Tao],
Wang, X.L.[Xin-Long],
You, M.Y.[Ming-Yu],
Mask encoding:
A general instance mask representation for object segmentation,
PR(124), 2022, pp. 108505.
Elsevier DOI
2203
Mask encoding, Instance segmentation, Video instance segmentation
BibRef
Wang, H.C.[Hao-Chen],
Yan, C.L.[Ci-Lin],
Chen, K.Y.[Ke-Yan],
Jiang, X.L.[Xiao-Long],
Tang, X.[Xu],
Hu, Y.[Yao],
Kang, G.L.[Guo-Liang],
Xie, W.D.[Wei-Di],
Gavves, E.[Efstratios],
OV-VIS: Open-Vocabulary Video Instance Segmentation,
IJCV(132), No. 11, November 2024, pp. 5048-5065.
Springer DOI
2411
BibRef
Wang, H.C.[Hao-Chen],
Jiang, X.L.[Xiao-Long],
Tang, X.[Xu],
Hu, Y.[Yao],
Yan, C.[Cilin],
Xie, W.[Weidi],
Wang, S.[Shuai],
Gavves, E.[Efstratios],
Towards Open-Vocabulary Video Instance Segmentation,
ICCV23(4034-4043)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, Z.H.[Zheng-Hao],
Zhang, S.[Shengfan],
Dai, Z.Z.[Zuo-Zhuo],
Dong, Z.L.[Zi-Long],
Zhu, S.[Siyu],
MWVOS: Mask-Free Weakly Supervised Video Object Segmentation via
promptable foundation model,
PR(159), 2025, pp. 111100.
Elsevier DOI
2412
Vision foundation model, Video instance segmentation, Deep learning
BibRef
Li, G.[Ge],
Cao, J.[Jiale],
Sun, H.Q.[Han-Qing],
Anwer, R.M.[Rao Muhammad],
Xie, J.[Jin],
Khan, F.[Fahad],
Pang, Y.W.[Yan-Wei],
Video Instance Segmentation Without Using Mask and Identity
Supervision,
MultMed(27), 2025, pp. 224-235.
IEEE DOI
2501
Instance segmentation, Annotations, Transformers,
Contrastive learning, Color, Benchmark testing, Training, Sun,
query exchange
BibRef
Kim, H.[Hanjung],
Kang, J.[Jaehyun],
Heo, M.[Miran],
Hwang, S.[Sukjun],
Oh, S.W.[Seoung Wug],
Kim, S.J.[Seon Joo],
Visage: Video Instance Segmentation with Appearance-guided Enhancement,
ECCV24(VII: 93-109).
Springer DOI
2412
BibRef
Fang, H.[Hao],
Wu, P.[Peng],
Li, Y.[Yawei],
Zhang, X.X.[Xin-Xin],
Lu, X.[Xiankai],
Unified Embedding Alignment for Open-vocabulary Video Instance
Segmentation,
ECCV24(LXX: 225-241).
Springer DOI
2412
BibRef
Huang, S.[Shuaiyi],
Suri, S.[Saksham],
Gupta, K.[Kamal],
Rambhatla, S.S.[Sai Saketh],
Lim, S.N.[Ser-Nam],
Shrivastava, A.[Abhinav],
UVIS: Unsupervised Video Instance Segmentation,
L3D-IVU24(2682-2692)
IEEE DOI
2410
Instance segmentation, Training, Shape, Semantics, Image annotation,
Prototypes, Benchmark testing, video instance segmentation,
Foundation models
BibRef
Xuan, K.T.[Khai Trinh],
Nguyen, K.N.[Khoi Nguyen],
Ngo, B.H.[Bach Hoang],
Xuan, V.D.[Vu Dinh],
An, M.H.[Minh-Hung],
Dinh, Q.V.[Quang-Vinh],
Divide and Conquer Boosting for Enhanced Traffic Safety Description
and Analysis with Large Vision Language Model,
AICity24(7046-7055)
IEEE DOI Code:
WWW Link.
2410
Training, Pedestrians, Source coding, Urban areas,
Data preprocessing, Transportation, Data models,
video instance captioning
BibRef
Wang, X.D.[Xu-Dong],
Misra, I.[Ishan],
Zeng, Z.Y.[Zi-Yun],
Girdhar, R.[Rohit],
Darrell, T.J.[Trevor J.],
VideoCutLER: Surprisingly Simple Unsupervised Video Instance
Segmentation,
CVPR24(22755-22764)
IEEE DOI
2410
Instance segmentation, Training, Video on demand, Tracking,
Motion segmentation
BibRef
Huang, S.[Shuaiyi],
Huang, D.A.[De-An],
Yu, Z.[Zhiding],
Lan, S.Y.[Shi-Yi],
Radhakrishnan, S.[Subhashree],
Alvarez, J.M.[Jose M.],
Shrivastava, A.[Abhinav],
Anandkumar, A.[Anima],
What is Point Supervision Worth in Video Instance Segmentation?,
L3D-IVU24(2671-2681)
IEEE DOI
2410
Instance segmentation, Training, Annotations, Shape,
Object segmentation, Object detection,
point supervision
BibRef
Kim, H.[Hojin],
Lee, S.[Seunghun],
Kang, H.[Hyeon],
Im, S.H.[Sung-Hoon],
Offline-to-Online Knowledge Distillation for Video Instance
Segmentation,
WACV24(158-167)
IEEE DOI
2404
Instance segmentation, Filters, Predictive models,
Data augmentation, Robustness, Encoding, Algorithms,
Image recognition and understanding
BibRef
Ying, K.N.[Kai-Ning],
Zhong, Q.[Qing],
Mao, W.[Weian],
Wang, Z.H.[Zhen-Hua],
Chen, H.[Hao],
Wu, L.Y.B.[Lin Yuan-Bo],
Liu, Y.F.[Yi-Fan],
Fan, C.X.[Cheng-Xiang],
Zhuge, Y.Z.[Yun-Zhi],
Shen, C.H.[Chun-Hua],
CTVIS: Consistent Training for Online Video Instance Segmentation,
ICCV23(899-908)
IEEE DOI
2401
BibRef
Li, J.L.[Jun-Long],
Yu, B.[Bingyao],
Rao, Y.M.[Yong-Ming],
Zhou, J.[Jie],
Lu, J.W.[Ji-Wen],
TCOVIS: Temporally Consistent Online Video Instance Segmentation,
ICCV23(1097-1107)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, T.[Tao],
Tian, X.Y.[Xing-Ye],
Wu, Y.[Yu],
Ji, S.P.[Shun-Ping],
Wang, X.[Xuebo],
Zhang, Y.[Yuan],
Wan, P.F.[Peng-Fei],
DVIS: Decoupled Video Instance Segmentation Framework,
ICCV23(1282-1291)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, J.[Junke],
Chen, D.D.[Dong-Dong],
Wu, Z.[Zuxuan],
Luo, C.[Chong],
Tang, C.X.[Chuan-Xin],
Dai, X.[Xiyang],
Zhao, Y.C.[Yu-Cheng],
Xie, Y.[Yujia],
Yuan, L.[Lu],
Jiang, Y.G.[Yu-Gang],
Look Before You Match: Instance Understanding Matters in Video Object
Segmentation,
CVPR23(2268-2278)
IEEE DOI
2309
BibRef
Liu, Q.H.[Qi-Hao],
Wu, J.F.[Jun-Feng],
Jiang, Y.[Yi],
Bai, X.[Xiang],
Yuille, A.L.[Alan L.],
Bai, S.[Song],
InstMove: Instance Motion for Object-centric Video Segmentation,
CVPR23(6344-6354)
IEEE DOI
2309
BibRef
Li, M.H.[Ming-Han],
Li, S.[Shuai],
Xiang, W.M.[Wang-Meng],
Zhang, L.[Lei],
MDQE: Mining Discriminative Query Embeddings to Segment Occluded
Instances on Challenging Videos,
CVPR23(10524-10533)
IEEE DOI
2309
BibRef
Heo, M.[Miran],
Hwang, S.[Sukjun],
Hyun, J.[Jeongseok],
Kim, H.J.[Han-Jung],
Oh, S.W.[Seoung Wug],
Lee, J.Y.[Joon-Young],
Kim, S.J.[Seon Joo],
A Generalized Framework for Video Instance Segmentation,
CVPR23(14623-14632)
IEEE DOI
2309
BibRef
Ke, L.[Lei],
Danelljan, M.[Martin],
Ding, H.H.[Heng-Hui],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Yu, F.[Fisher],
Mask-Free Video Instance Segmentation,
CVPR23(22857-22866)
IEEE DOI
2309
BibRef
Earlier: A1, A3, A2, A4, A5, A6:
Video Mask Transfiner for High-Quality Video Instance Segmentation,
ECCV22(XXVIII:731-747).
Springer DOI
2211
BibRef
Ke, L.[Lei],
Danelljan, M.[Martin],
Li, X.[Xia],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Yu, F.[Fisher],
Mask Transfiner for High-Quality Instance Segmentation,
CVPR22(4402-4411)
IEEE DOI
2210
Training, Convolutional codes, Image segmentation, Tensors, Costs,
Shape, Segmentation, grouping and shape analysis
BibRef
Yoon, J.[Jihun],
Choi, M.K.[Min-Kook],
Exploring Video Frame Redundancies for Efficient Data Sampling and
Annotation in Instance Segmentation,
VDU23(3308-3317)
IEEE DOI
2309
BibRef
Jiang, Z.K.[Zheng-Kai],
Gu, Z.X.[Zhang-Xuan],
Peng, J.L.[Jin-Long],
Zhou, H.[Hang],
Liu, L.[Liang],
Wang, Y.[Yabiao],
Tai, Y.[Ying],
Wang, C.J.[Cheng-Jie],
Zhang, L.Q.[Li-Qing],
Stc: Spatio-temporal Contrastive Learning for Video Instance
Segmentation,
CVEU22(539-556).
Springer DOI
2304
BibRef
Wang, Q.[Qiuyue],
Zhang, S.Y.[Song-Yang],
He, X.M.[Xu-Ming],
Robust Temporally-Coherent Strategy for Few-shot Video Instance
Segmentation,
ICIP22(251-255)
IEEE DOI
2211
Image segmentation, Adaptation models, Image coding, Motion segmentation,
Benchmark testing, Robustness, Task analysis, Few-shot Learning
BibRef
Yang, P.W.[Peng-Wan],
Asano, Y.M.[Yuki M.],
Mettes, P.[Pascal],
Snoek, C.G.M.[Cees G. M.],
Less Than Few: Self-shot Video Instance Segmentation,
ECCV22(XXXIV:449-466).
Springer DOI
2211
BibRef
Kini, J.[Jyoti],
Shah, M.[Mubarak],
Tag-Based Attention Guided Bottom-Up Approach for Video Instance
Segmentation,
ICPR22(3536-3542)
IEEE DOI
2212
Solid modeling,
Semantic segmentation, Video sequences, Redundancy, Pipelines, Tagging
BibRef
Dong, H.[Hao],
Wang, G.D.[Guo-Dong],
DISF: Dynamic Instance Segmentation with Semantic Features,
ICPR22(3772-3778)
IEEE DOI
2212
Image segmentation, Convolution, Semantic segmentation, Semantics,
Feature extraction, Kernel
BibRef
Cui, Z.H.[Zhi-Hao],
Zhang, Z.H.[Zhen-Hua],
KeypointMask: A Real-Time Instance Segmentation for Oblique Object
Detection in Robotic Picking,
ICPR22(4175-4181)
IEEE DOI
2212
Point cloud compression, Image segmentation,
Service robots, Image color analysis, industrial application
BibRef
Wu, J.F.[Jun-Feng],
Jiang, Y.[Yi],
Bai, S.[Song],
Zhang, W.Q.[Wen-Qing],
Bai, X.[Xiang],
SeqFormer: Sequential Transformer for Video Instance Segmentation,
ECCV22(XXVIII:553-569).
Springer DOI
2211
BibRef
Wu, J.F.[Jun-Feng],
Liu, Q.H.[Qi-Hao],
Jiang, Y.[Yi],
Bai, S.[Song],
Yuille, A.L.[Alan L.],
Bai, X.[Xiang],
In Defense of Online Models for Video Instance Segmentation,
ECCV22(XXVIII:588-605).
Springer DOI
2211
BibRef
Zhu, F.[Feng],
Yang, Z.X.[Zong-Xin],
Yu, X.[Xin],
Yang, Y.[Yi],
Wei, Y.C.[Yun-Chao],
Instance as Identity: A Generic Online Paradigm for Video Instance
Segmentation,
ECCV22(XXIX:524-540).
Springer DOI
2211
BibRef
Wu, J.[Jialian],
Yarram, S.[Sudhir],
Liang, H.[Hui],
Lan, T.[Tian],
Yuan, J.S.[Jun-Song],
Eledath, J.[Jayan],
Medioni, G.[Gérard],
Efficient Video Instance Segmentation via Tracklet Query and Proposal,
CVPR22(949-958)
IEEE DOI
2210
Training, Tracking, Motion segmentation, Streaming media,
Transformers, Real-time systems, Recognition: detection, Motion and tracking
BibRef
Han, S.H.[Su Ho],
Hwang, S.[Sukjun],
Oh, S.W.[Seoung Wug],
Park, Y.[Yeonchool],
Kim, H.W.[Hyun-Woo],
Kim, M.J.[Min-Jung],
Kim, S.J.[Seon Joo],
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video
Instance Segmentation,
CVPR22(2886-2895)
IEEE DOI
2210
Convolutional codes, Aggregates, Streaming media,
Real-time systems, Task analysis, Motion and tracking
BibRef
Ciamarra, A.[Andrea],
Becattini, F.[Federico],
Seidenari, L.[Lorenzo],
del Bimbo, A.[Alberto],
Forecasting Future Instance Segmentation with Learned Optical Flow and
Warping,
CIAP22(III:349-361).
Springer DOI
2205
BibRef
Bae, H.[Heechul],
Song, S.[Soonyong],
Park, J.[Junhee],
Occluded Video Instance Segmentation with Set Prediction Approach,
OVIS21(3843-3846)
IEEE DOI
2112
Motion segmentation, Streaming media,
Benchmark testing, Real-time systems, Task analysis
BibRef
Li, W.B.[Wen-Bo],
Li, X.S.[Xue-Sheng],
Xu, Q.W.[Qi-Wei],
Li, C.[Chen],
From VIS To OVIS:
A Technical Report to Promote the Development of the Field,
OVIS21(3856-3860)
IEEE DOI
2112
Occluded Video instance segmentation.
Training, Deep learning, Computational modeling, Computer bugs, Writing
BibRef
Lin, C.,
Hung, Y.,
Feris, R.,
He, L.,
Video Instance Segmentation Tracking With a Modified VAE Architecture,
CVPR20(13144-13154)
IEEE DOI
2008
Task analysis, Decoding, Proposals, Motion segmentation,
Object segmentation, Target tracking, Image segmentation
BibRef
Wang, Q.[Qiong],
Zhang, L.[Lu],
Kpalma, K.[Kidiyo],
A Semantics-guided Warping for Semi-supervised Video Object Instance
Segmentation,
ICIAR20(I:186-195).
Springer DOI
2007
BibRef
Schneegans, J.[Jan],
Bieshaar, M.[Maarten],
Heidecker, F.[Florian],
Sick, B.[Bernhard],
Intelligent and Interactive Video Annotation for Instance Segmentation
Using Siamese Neural Networks,
HCAU20(375-389).
Springer DOI
2103
BibRef
Yang, L.,
Fan, Y.,
Xu, N.,
Video Instance Segmentation,
ICCV19(5187-5196)
IEEE DOI
2004
convolutional neural nets, image segmentation,
multimedia Web sites, object detection, object tracking,
Object segmentation
BibRef
Lin, H.,
Qi, X.,
Jia, J.,
AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation,
ICCV19(3948-3956)
IEEE DOI
2004
computational complexity, image segmentation,
video signal processing, object instances, instance IoU loss,
Training
BibRef
Lyu, Y.,
Vosselman, G.,
Xia, G.,
Yang, M.Y.,
LIP: Learning Instance Propagation for Video Object Segmentation,
MCMV19(2739-2748)
IEEE DOI
2004
convolutional neural nets, image segmentation,
learning (artificial intelligence), object detection,
memory module
BibRef
Feng, Q.,
Yang, Z.,
Li, P.,
Wei, Y.,
Yang, Y.,
Dual Embedding Learning for Video Instance Segmentation,
YouTube-VOS19(717-720)
IEEE DOI
2004
embedded systems, image segmentation,
learning (artificial intelligence), neural nets,
instance embedding learning
BibRef
Dong, M.,
Wang, J.,
Huang, Y.,
Yu, D.,
Su, K.,
Zhou, K.,
Shao, J.,
Wen, S.,
Wang, C.,
Temporal Feature Augmented Network for Video Instance Segmentation,
YouTube-VOS19(721-724)
IEEE DOI
2004
convolutional neural nets, feature extraction,
image motion analysis, image segmentation, object detection,
Deep Learning
BibRef
Liu, X.Y.[Xiao-Yu],
Ren, H.B.[Hai-Bing],
Ye, T.M.[Ting-Meng],
Spatio-Temporal Attention Network for Video Instance Segmentation,
YouTube-VOS19(725-727)
IEEE DOI
2004
convolutional neural nets, image segmentation, object detection,
video signal processing, Youtube VIS test dataset,
spatio temporal
BibRef
Luiten, J.[Jonathon],
Torr, P.H.S.[Philip H.S.],
Leibe, B.[Bastian],
Video Instance Segmentation 2019: A Winning Approach for Combined
Detection, Segmentation, Classification and Tracking.,
YouTube-VOS19(709-712)
IEEE DOI
2004
image classification, image segmentation,
learning (artificial intelligence), neural nets, object tracking,
Classification
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
Hu, Y.T.[Yuan-Ting],
Chen, H.S.[Hong-Shuo],
Hui, K.[Kexin],
Huang, J.B.[Jia-Bin],
Schwing, A.G.[Alexander G.],
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation:
A Synthetic Dataset and Baselines,
CVPR19(3100-3110).
IEEE DOI
2002
BibRef
Bansal, V.[Vaibhav],
James, S.[Stuart],
del Bue, A.[Alessio],
re-OBJ: Jointly Learning the Foreground and Background for Object
Instance Re-identification,
CIAP19(II:402-413).
Springer DOI
1909
BibRef
Le, T.,
Sugimoto, A.,
Semantic Instance Meets Salient Object:
Study on Video Semantic Salient Instance Segmentation,
WACV19(1779-1788)
IEEE DOI
1904
image segmentation, image sequences, mobile robots,
object detection, robot vision, video signal processing,
Dogs
BibRef
Li, S.,
Seybold, B.,
Vorobyov, A.,
Fathi, A.,
Huang, Q.,
Kuo, C.C.J.,
Instance Embedding Transfer to Unsupervised Video Object Segmentation,
CVPR18(6526-6535)
IEEE DOI
1812
Image segmentation, Object segmentation, Motion segmentation,
Optical imaging, Semantics, Task analysis, Neural networks
BibRef
Liu, B.Y.[Bu-Yu],
He, X.M.[Xu-Ming],
Multiclass semantic video segmentation with object-level active
inference,
CVPR15(4286-4294)
IEEE DOI
1510
BibRef
Liu, B.Y.[Bu-Yu],
He, X.M.[Xu-Ming],
Gould, S.[Stephen],
Multi-class Semantic Video Segmentation with Exemplar-Based Object
Reasoning,
WACV15(1014-1021)
IEEE DOI
1503
Cognition
BibRef
He, X.M.[Xu-Ming],
Gould, S.[Stephen],
An Exemplar-Based CRF for Multi-instance Object Segmentation,
CVPR14(296-303)
IEEE DOI
1409
BibRef
Earlier:
Multi-instance Object Segmentation with Exemplars,
GMSU13(1-4)
IEEE DOI
1403
Markov processes
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Spatio-Temporal Motion Segmentation, Flow Based Segmentation .