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14th ACCV 2018: Perth, Australia
- C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 11364, Springer 2019, ISBN 978-3-030-20869-1
Poster Session P2
- Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell:
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. 3-20 - Qingzhong Wang, Antoni B. Chan:
Gated Hierarchical Attention for Image Captioning. 21-37 - Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. 38-55 - Ziyun Cai, Yang Long, Xiao-Yuan Jing, Ling Shao:
Adaptive Visual-Depth Fusion Transfer. 56-73 - Amirhossein Kardoost, Margret Keuper:
Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration. 74-89 - Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, Jun Won Choi:
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network. 90-106 - Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
Hardware-Aware Softmax Approximation for Deep Neural Networks. 107-122 - Anna Khoreva, Anna Rohrbach, Bernt Schiele:
Video Object Segmentation with Language Referring Expressions. 123-141 - Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa:
Nonlinear Subspace Feature Enhancement for Image Set Classification. 142-158 - Michal Neoral, Jan Sochman, Jiri Matas:
Continual Occlusion and Optical Flow Estimation. 159-174 - Lingbo Mo, Chunhong Zhang, Yang Ji, Zheng Hu:
Adversarial Learning for Visual Storytelling with Sense Group Partition. 175-190 - Qijie Wei, Xirong Li, Hao Wang, Dayong Ding, Weihong Yu, Youxin Chen:
Laser Scar Detection in Fundus Images Using Convolutional Neural Networks. 191-206 - Yi Xiao, Chao Pan, Yan Zheng, Xianyi Zhu, Zheng Qin, Jin Yuan:
Gradient-Guided DCNN for Inverse Halftoning and Image Expanding. 207-222 - Jingchun Cheng, Han-Kai Hsu, Chen Fang, Hailin Jin, Shengjin Wang, Ming-Hsuan Yang:
Learning from PhotoShop Operation Videos: The PSOV Dataset. 223-239 - Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. 240-256 - Zuoxin Li, Fuqiang Zhou, Lu Yang:
Fast Single Shot Instance Segmentation. 257-272 - Lipu Zhou, Jiamin Ye, Michael Kaess:
A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. 273-288 - Jiawan Zhang, Rui Zhan, Di Sun, Gang Pan:
Symmetry-Aware Face Completion with Generative Adversarial Networks. 289-304 - Devraj Mandal, Yashas Annadani, Soma Biswas:
GrowBit: Incremental Hashing for Cross-Modal Retrieval. 305-321 - Kang-Jun Liu, Tsu-Jui Fu, Shan-Hung Wu:
Region-Semantics Preserving Image Synthesis. 322-337 - Shu-Yu Hsu, Chih-Yuan Yang, Chi-Chia Huang, Jane Yung-jen Hsu:
SemiStarGAN: Semi-supervised Generative Adversarial Networks for Multi-domain Image-to-Image Translation. 338-353 - Yi Zhu, Jia Xue, Shawn D. Newsam:
Gated Transfer Network for Transfer Learning. 354-369 - Cong Ma, Zhenjiang Miao, Min Li, Shaoyue Song, Ming-Hsuan Yang:
Detecting Anomalous Trajectories via Recurrent Neural Networks. 370-382 - Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford:
A Binary Optimization Approach for Constrained K-Means Clustering. 383-398 - Yiming Qian, Srikumar Ramalingam, James H. Elder:
LS3D: Single-View Gestalt 3D Surface Reconstruction from Manhattan Line Segments. 399-416 - Stanislav Pidhorskyi, Quinn Jones, Saeid Motiian, Donald A. Adjeroh, Gianfranco Doretto:
Deep Supervised Hashing with Spherical Embedding. 417-434 - Hong Chen, Yifei Huang, Hideki Nakayama:
Semantic Aware Attention Based Deep Object Co-segmentation. 435-450 - Rama Kovvuri, Ram Nevatia:
PIRC Net: Using Proposal Indexing, Relationships and Context for Phrase Grounding. 451-467 - Duc Minh Vo, Akihiro Sugimoto:
Paired-D GAN for Semantic Image Synthesis. 468-484 - Yusuke Yoshiyasu, Ryusuke Sagawa, Ko Ayusawa, Akihiko Murai:
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image. 485-500 - Jiaming Li, Chengquan Zhang, Yipeng Sun, Junyu Han, Errui Ding:
Detecting Text in the Wild with Deep Character Embedding Network. 501-517 - Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo:
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. 518-533 - Yanwei Li, Xingang Wang, Shilei Zhang, Lingxi Xie, Wenqi Wu, Hongyuan Yu, Zheng Zhu:
Identity-Enhanced Network for Facial Expression Recognition. 534-550 - Jishan Guo, Yi Rong, Yongsheng Gao, Ying Liu, Shengwu Xiong:
A Novel Multi-scale Invariant Descriptor Based on Contour and Texture for Shape Recognition. 551-564 - Jonathon Luiten, Paul Voigtlaender, Bastian Leibe:
PReMVOS: Proposal-Generation, Refinement and Merging for Video Object Segmentation. 565-580 - Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the Importance of Color Spaces for Image Classification. 581-596 - Xiaolin Tang, Son Lam Phung, Abdesselam Bouzerdoum, Van Ha Tang:
Pooling-Based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation. 597-612
Oral Session O4: Detection, Segmentation, and Action
- Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. 615-631 - Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han:
Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection. 632-648 - Nan Lai, Meina Kan, Shiguang Shan, Xilin Chen:
Task-Adaptive Feature Reweighting for Few Shot Classification. 649-662 - Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang:
Deep Attention-Based Classification Network for Robust Depth Prediction. 663-678 - Prateep Bhattacharjee, Sukhendu Das:
Predicting Video Frames Using Feature Based Locally Guided Objectives. 679-695 - Xiangli Ji, Guibo Luo, Yuesheng Zhu:
A New Temporal Deconvolutional Pyramid Network for Action Detection. 696-711 - Da Zhang, Xiyang Dai, Yuan-Fang Wang:
Dynamic Temporal Pyramid Network: A Closer Look at Multi-scale Modeling for Activity Detection. 712-728 - Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Hossein Rahmani, Senjian An, Ferdous Sohel, Farid Boussaïd:
Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition. 729-745
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