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ORCID16th ECCV 2020: Glasgow, UK - Volume 25
- Andrea Vedaldi
, Horst Bischof, Thomas Brox, Jan-Michael Frahm:
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXV. Lecture Notes in Computer Science 12370, Springer 2020, ISBN 978-3-030-58594-5 - Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. 1-16 - Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan:
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation. 17-33 - Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu:
Boundary-Aware Cascade Networks for Temporal Action Segmentation. 34-51 - Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui:
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation. 52-68 - Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel:
Inference Graphs for CNN Interpretation. 69-84 - Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng:
An End-to-End OCR Text Re-organization Sequence Learning for Rich-Text Detail Image Comprehension. 85-100 - Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo:
Improving Query Efficiency of Black-Box Adversarial Attack. 101-116 - Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu:
Self-similarity Student for Partial Label Histopathology Image Segmentation. 117-132 - Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli:
BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaussian Distributions. 133-149 - Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang:
A Decoupled Learning Scheme for Real-World Burst Denoising from Raw Images. 150-166 - Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon:
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization. 167-183 - Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho:
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms. 184-201 - Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu:
SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking. 202-219 - Zhujun Xu, Emir Hrustic, Damien Vivet:
CenterNet Heatmap Propagation for Real-Time Video Object Detection. 220-234 - Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu:
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection. 235-252 - Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk:
SOLAR: Second-Order Loss and Attention for Image Retrieval. 253-270 - Guolei Sun, Salman H. Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool:
Fixing Localization Errors to Improve Image Classification. 271-287 - Lisa Mais, Peter Hirsch, Dagmar Kainmueller:
PatchPerPix for Instance Segmentation. 288-304 - Soroush Seifi, Tinne Tuytelaars:
Attend and Segment: Attention Guided Active Semantic Segmentation. 305-321 - Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen:
Accelerating CNN Training by Pruning Activation Gradients. 322-338 - Han-Ul Kim, Yeong Jun Koh, Chang-Su Kim:
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement. 339-354 - Kang Kim, Hee Seok Lee:
Probabilistic Anchor Assignment with IoU Prediction for Object Detection. 355-371 - Yating Wang, Quan Wang, Feng Xu:
Eyeglasses 3D Shape Reconstruction from a Single Face Image. 372-387 - Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Temporal Complementary Learning for Video Person Re-identification. 388-405 - Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection. 406-423 - Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang:
Graph Wasserstein Correlation Analysis for Movie Retrieval. 424-439 - Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu:
Context-Aware RCNN: A Baseline for Action Detection in Videos. 440-456 - Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan:
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization. 457-473 - Haoxian Zhang, Yang Zhao, Ronggang Wang:
A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation. 474-491 - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. 492-511 - Wenxiao Zhang, Qingan Yan, Chunxia Xiao:
Detail Preserved Point Cloud Completion via Separated Feature Aggregation. 512-528 - Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun:
LabelEnc: A New Intermediate Supervision Method for Object Detection. 529-545 - Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Josechu J. Guerrero, Cédric Demonceaux, Luc Van Gool:
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets. 546-563 - Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. 564-580 - Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin:
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds. 581-597 - Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang:
OID: Outlier Identifying and Discarding in Blind Image Deblurring. 598-613 - Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky:
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. 614-630 - Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang:
Enhanced Sparse Model for Blind Deblurring. 631-646 - Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn:
SumGraph: Video Summarization via Recursive Graph Modeling. 647-663 - Kunran Xu, Lai Rui, Yishi Li, Lin Gu:
Feature Normalized Knowledge Distillation for Image Classification. 664-680 - Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
A Metric Learning Reality Check. 681-699 - Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Yanfeng Wang, Shenggan Cheng, James Lin:
FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer. 700-716 - Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe:
XingGAN for Person Image Generation. 717-734 - Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. 735-751 - Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia:
VCNet: A Robust Approach to Blind Image Inpainting. 752-768 - Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li:
Learning to Predict Context-Adaptive Convolution for Semantic Segmentation. 769-786
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