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ORCIDACCV 2020: Kyoto, Japan
- Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8
3D Computer Vision
- Shichen Sun, Zhengbang Zhu, Xiaowei Dai, Qijun Zhao, Jing Li:
Weakly-Supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images. 3-19 - Jisheng Dang, Jun Yang:
HPGCNN: Hierarchical Parallel Group Convolutional Neural Networks for Point Clouds Processing. 20-37 - Giorgia Pitteri, Aurélie Bugeau, Slobodan Ilic, Vincent Lepetit:
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings. 38-54 - George Tattersall
, Dizhong Zhu, William A. P. Smith, Sebastian Deterding, Patrik Huber:
Reconstructing Creative Lego Models. 55-70 - Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton:
Multi-view Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People. 71-88 - Kenkun Liu, Zhiming Zou, Wei Tang:
Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation. 89-105 - Shuya Chen, Zhiyu Xiang, Chengyu Qiao, Yiman Chen, Tingming Bai:
SGNet: Semantics Guided Deep Stereo Matching. 106-122 - Boyao Zhou, Jean-Sébastien Franco, Federica Bogo, Bugra Tekin, Edmond Boyer:
Reconstructing Human Body Mesh from Point Clouds by Adversarial GP Network. 123-139 - Yi Zhang, Yuwen Ye, Zhiyu Xiang, Jiaqi Gu:
SDP-Net: Scene Flow Based Real-Time Object Detection and Prediction from Sequential 3D Point Clouds. 140-157 - Hyeontae Son, Young Min Kim:
SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion. 158-174 - Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song:
Faster Self-adaptive Deep Stereo. 175-191 - Ashish Kubade, Diptiben Patel, Avinash Sharma, Krishnan Sundara Rajan:
AFN: Attentional Feedback Network Based 3D Terrain Super-Resolution. 192-208 - Guangnan Wu, Zhiyi Pan, Peng Jiang, Changhe Tu:
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds. 209-226 - Xin Cao, Xu Zhao:
Anatomy and Geometry Constrained One-Stage Framework for 3D Human Pose Estimation. 227-243 - Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto:
DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. 244-260 - Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama:
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media. 261-277 - Yaqing Ding, Daniel Barath, Zuzana Kukelova:
Homography-Based Egomotion Estimation Using Gravity and SIFT Features. 278-294 - Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam:
Mapping of Sparse 3D Data Using Alternating Projection. 295-313 - Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes:
Best Buddies Registration for Point Clouds. 314-329 - Adrian Lopez Rodriguez, Benjamin Busam, Krystian Mikolajczyk:
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data. 330-348 - Erli Ouyang, Li Zhang, Mohan Chen, Anurag Arnab, Yanwei Fu:
Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection. 349-364 - Jia-Ren Chang, Pei-Chun Chang, Yong-Sheng Chen:
Attention-Aware Feature Aggregation for Real-Time Stereo Matching on Edge Devices. 365-380 - Alexandre Boulch, Gilles Puy, Renaud Marlet:
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution. 381-399 - Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson:
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. 400-416 - Dingfu Zhou, Xibin Song, Yuchao Dai, Junbo Yin, Feixiang Lu, Miao Liao, Jin Fang, Liangjun Zhang:
IAFA: Instance-Aware Feature Aggregation for 3D Object Detection from a Single Image. 417-435 - Son Minh Nguyen, Tran Duy Linh, Masayuki Arai:
Attended-Auxiliary Supervision Representation for Face Anti-spoofing. 436-452 - Chia-Chun Cheng, Shang-Hong Lai:
3D Object Detection from Consecutive Monocular Images. 453-468 - Zakaria Laskar, Juho Kannala:
Data-Efficient Ranking Distillation for Image Retrieval. 469-484 - Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach:
Quantum Robust Fitting. 485-499 - Axel Barroso Laguna, Yannick Verdie, Benjamin Busam, Krystian Mikolajczyk:
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning. 500-516
Segmentation and Grouping
- Hao Zhou, Lu Qi, Zhaoliang Wan, Hai Huang, Xu Yang:
RGB-D Co-attention Network for Semantic Segmentation. 519-536 - Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu:
Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. 537-552 - Xinneng Yang, Yan Wu, Junqiao Zhao, Feilin Liu:
Dense Dual-Path Network for Real-Time Semantic Segmentation. 553-570 - Linzi Qu, Lihuo He, Junji Ke, Xinbo Gao, Wen Lu:
Learning More Accurate Features for Semantic Segmentation in CycleNet. 571-584 - Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. 585-602 - Evann Courdier, François Fleuret:
Real-Time Segmentation Networks Should be Latency Aware. 603-619 - Wenjing Li, Xiang Zhang, Yujie Hu, Yingqi Tang:
Mask-Ranking Network for Semi-supervised Video Object Segmentation. 620-636 - Senbo Yan, Xiaowen Song, Chuer Yu:
SDCNet: Size Divide and Conquer Network for Salient Object Detection. 637-653 - Dong Nie, Jia Xue, Xiaofeng Ren:
Bidirectional Pyramid Networks for Semantic Segmentation. 654-671 - Shuai Xie, Zunlei Feng, Ying Chen, Songtao Sun, Chao Ma, Mingli Song:
DEAL: Difficulty-Aware Active Learning for Semantic Segmentation. 672-688 - Chia-Yuan Chang, Shuo-En Chang, Pei-Yung Hsiao, Li-Chen Fu:
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion. 689-705 - Jing Tan, Pengfei Xiong, Zhengyi Lv, Kuntao Xiao, Yuwen He:
Local Context Attention for Salient Object Segmentation. 706-722 - Jin-Yu Huang, Jian-Jiun Ding:
Generic Image Segmentation in Fully Convolutional Networks by Superpixel Merging Map. 723-737
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