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Archaeology International
Architecture_MPS
Europe and the World: A law review
Film Education Journal
History Education Research Journal
International Journal of Development Education and Global Learning
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Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
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Research for All
The Journal of the Sylvia Townsend Warner Society
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Computer Vision – ECCV 2018
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene
other
Author(s):
Yiming Qian
,
Yinqiang Zheng
,
Minglun Gong
,
Yee-Hong Yang
Publication date
(Online):
October 07 2018
Publisher:
Springer International Publishing
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Hydrology
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A flexible new technique for camera calibration
Z. Zhang
(2000)
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OpenMP: an industry standard API for shared-memory programming
L. Dagum
,
Prema R Menon
(1998)
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High Accuracy Optical Flow Estimation Based on a Theory for Warping
Thomas Brox
,
Andrés Bruhn
,
Nils Papenberg
…
(2004)
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Contributors
Minglun Gong:
(View ORCID Profile)
Yee-Hong Yang:
(View ORCID Profile)
Book Chapter
Publication date (Print):
2018
Publication date (Online):
October 07 2018
Pages
: 776-792
DOI:
10.1007/978-3-030-01219-9_46
SO-VID:
4baa06d1-44b5-4505-8199-bec2fc2aaa3c
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Book chapters
pp. 36
Learning to Separate Object Sounds by Watching Unlabeled Video
pp. 776
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene
pp. 93
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
pp. 144
Memory Aware Synapses: Learning What (not) to Forget
pp. 297
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training
pp. 418
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
pp. 452
Lifelong Learning via Progressive Distillation and Retrospection
pp. 468
A Closed-Form Solution to Photorealistic Image Stylization
pp. 657
Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
pp. 692
Long-Term Tracking in the Wild: A Benchmark
pp. 725
Generating 3D Faces Using Convolutional Mesh Autoencoders
pp. 793
Women Also Snowboard: Overcoming Bias in Captioning Models
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