SUN RGB-D: A RGB-D scene understanding benchmark suite

Song, Shuran, Lichtenberg, Samuel P., Xiao, Jianxiong·2015·2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,003)

Items 101–200 of 1,003

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    Shi Qiu, Saeed Anwar, Nick M. Barnes · 2021 · IEEE Transactions on Multimedia
  2. FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion
    Sun, Yuxiang, Zuo, Weixun, Yun, Peng, Wang, Hengli, Liu, Ming · 2021 · IEEE Transactions on Automation Science and Engineering
  3. Surface Representation for Point Clouds
    Haoxi Ran, Jun Liu, Chengjie Wang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  4. Deep multimodal fusion for semantic image segmentation: A survey
    Zhang, Yifei, Sidibé, Désiré, Morel, Olivier, Mériaudeau, Fabrice · 2021 · Image and Vision Computing
  5. 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics
    Fu, Huan, Cai, Bowen, Gao, Lin, Zhang, Ling-Xiao, Wang, Jiaming, Li, Cao, Zeng, Qixun, Sun, Chengyue, Jia, Rongfei, Zhao, Binqiang et al. · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  6. Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
    Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon‐Young Lee, Hailin Jin, Thomas A. Funkhouser · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  7. ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
    Rukhovich, Danila, Vorontsova, Anna, Konushin, Anton · 2022 · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  8. A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
    Srikrishna Karanam, Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia Camps, Richard J. Radke · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  9. Multimodal Token Fusion for Vision Transformers
    Wang, Yikai, Chen, Xinghao, Cao, Lele, Huang, Wenbing, Sun, Fuchun, Wang, Yunhe · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  10. Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions
    Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  11. Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation
    Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  12. DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
    Nina M. Varney, Vijayan K. Asari, Quinn Graehling · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  13. Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image
    Nie, Yinyu, Han, Xiaoguang, Guo, Shihui, Zheng, Yujian, Chang, Jian, Zhang, Jian Jun · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  14. Understanding RealWorld Indoor Scenes with Synthetic Data
    Ankur Handa, Viorica Pătrăucean, Vijay Badrinarayanan, Simon Stent, Roberto Cipolla · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  15. DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
    Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang · 2023 · Machine Intelligence Research
  16. Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation
    Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Jun Yang · 2018 · Lecture notes in computer science
  17. Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
    Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  18. BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
    Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang · 2024 · IEEE Transactions on Image Processing
  19. Orientation-boosted Voxel Nets for 3D Object Recognition
    Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, Thomas Brox · 2017 · British Machine Vision Conference (BMVC)
  20. Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors
    Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  21. Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss
    Jianbo Jiao, Ying Shan Cao, Yibing Song, Rynson W. H. Lau · 2018 · Lecture notes in computer science
  22. MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
    Qian Xie, Yu‐Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, Jun Wang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  23. UniDepth: Universal Monocular Metric Depth Estimation
    Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  24. ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
    Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  25. Omnivore: A Single Model for Many Visual Modalities
    Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  26. SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances
    Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, Huijing Zhao · 2020 · IEEE Intelligent Vehicles Symposium
  27. Indices Matter: Learning to Index for Deep Image Matting
    Hao Lü, Yutong Dai, Chunhua Shen, Songcen Xu · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  28. 3D-FUTURE: 3D Furniture Shape with TextURE
    Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, Dacheng Tao · 2021 · International Journal of Computer Vision
  29. Joint Image Filtering with Deep Convolutional Networks
    Yijun Li, Jia‐Bin Huang, Narendra Ahuja, Ming–Hsuan Yang · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  30. A Review of Techniques for 3D Reconstruction of Indoor Environments
    Zhizhong Kang, Juntao Yang, Zhou Yang, Sai Cheng · 2020 · ISPRS International Journal of Geo-Information
  31. RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
    Jiang, Jindong, Lunan Zheng, Luo, Fei, Zhijun Zhang · 2018 · arXiv (Cornell University)
  32. Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion
    Yang Wang · 2021 · ACM Transactions on Multimedia Computing Communications and Applications
  33. Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
    Siyuan Huang, Yichen Xie, Song Chun Zhu, Yixin Zhu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  34. Unsupervised Domain Adaptation in Semantic Segmentation: A Review
    Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh · 2020 · Technologies
  35. Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
    Ashutosh Agarwal, Chetan Arora · 2023 · IEEE Winter Conference on Applications of Computer Vision
  36. AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
    Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  37. A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision
    Theodoros Georgiou, Yu Liu, Wei Chen, Michael S. Lew · 2019 · International Journal of Multimedia Information Retrieval
  38. H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
    Zaiwei Zhang, Bo Sun, Haitao Yang, Qi-xing Huang A · 2020 · Lecture notes in computer science
  39. A dataset for developing and benchmarking active vision
    Ammirato, Phil, Poirson, Patrick, Park, Eunbyung, Kosecka, Jana, Berg, Alexander C. · 2017 · 2017 IEEE International Conference on Robotics and Automation (ICRA)
  40. RoomNet: End-to-End Room Layout Estimation
    Chen‐Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, Andrew Rabinovich · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  41. 3D Room Layout Estimation From a Single RGB Image
    Chenggang Clarence Yan, Biyao Shao, Hao Zhao, Ruixin Ning, Yongdong Zhang, Feng Xu · 2020 · IEEE Transactions on Multimedia
  42. OctNetFusion: Learning Depth Fusion from Data
    Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, Andreas Geiger · 2017 · International Conference on 3D Vision (3DV)
  43. Leaf Counting with Deep Convolutional and Deconvolutional Networks
    Shubhra Aich, Ian Stavness · 2017 · IEEE International Conference on Computer Vision Workshops
  44. Multi-scale Context Intertwining for Semantic Segmentation
    Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen‐Or, Hui Fei Huang · 2018 · Lecture notes in computer science
  45. ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation
    Chen Li, Yusong Tan, Wei Chen, Xin Luo, Yulin He, Yuanming Gao, Fei Li · 2020 · Computers & Graphics
  46. Structured Prediction of Unobserved Voxels from a Single Depth Image
    Michael Firman, Oisin Mac Aodha, Simon Julier, Gabriel Brostow · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  47. Learning Depth From Single Images With Deep Neural Network Embedding Focal Length
    Lei He, Guanghui Wang, Zhanyi Hu · 2018 · IEEE Transactions on Image Processing
  48. LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
    Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin · 2016 · Lecture notes in computer science
  49. 2D-Driven 3D Object Detection in RGB-D Images
    Jean Lahoud, Bernard Ghanem · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  50. UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes
    Hao Sheng, Ruixuan Cong, Da Yang, Rongshan Chen, Sizhe Wang, Zhenglong Cui · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
  51. Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
    Lin-Zhuo Chen, Zheng Lin, Ziqin Wang, Yong‐Liang Yang, Ming-Ming Cheng · 2021 · IEEE Transactions on Image Processing
  52. A Hierarchical Graph Network for 3D Object Detection on Point Clouds
    Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  53. A Review on Deep Learning Techniques for 3D Sensed Data Classification
    Griffiths, D, Boehm, J · 2019 · UCL Discovery (University College London)
  54. MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
    John Lambert, Zhuang Liu, Ozan Şener, James H. Hays, Vladlen Koltun · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  55. Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and Recipe
    Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng et al. · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  56. Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
    Xingshuai Dong, Matthew Garratt, Sreenatha Gopalarao Anavatti, Hussein A. Abbass · 2022 · IEEE Transactions on Intelligent Transportation Systems
  57. Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
    Jun Xie, Martin Kiefel, Ming–Ting Sun, Andreas Geiger · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  58. Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation
    Chenglong Li, Wei Xia, Yan Yan, Bin Luo, Jin Tang · 2020 · IEEE Transactions on Neural Networks and Learning Systems
  59. Robust Color Guided Depth Map Restoration
    Wei Liu, Xiaogang Chen, Jie Yang, Qiang Wu · 2016 · IEEE Transactions on Image Processing
  60. RGB-D object detection and semantic segmentation for autonomous manipulation in clutter
    Max Schwarz, Anton Milan, Arul Selvam Periyasamy, Sven Behnke · 2017 · The International Journal of Robotics Research
  61. P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
    Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  62. DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency
    Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  63. RefineNet: Multi-Path Refinement Networks for Dense Prediction
    Guosheng Lin, Fayao Liu, Anton Milan, Chunhua Shen, Ian D. Reid · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  64. Guiding Monocular Depth Estimation Using Depth-Attention Volume
    Lam Huynh, Phong Nguyen-Ha, Jiřı́ Matas, Esa Rahtu, Janne Heikkilä · 2020 · Lecture notes in computer science
  65. EPNet++: Cascade Bi-Directional Fusion for Multi-Modal 3D Object Detection
    Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  66. DDP: Diffusion Model for Dense Visual Prediction
    Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lü, Zhenguo Li, Ping Luo · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  67. DP-SLAM: A visual SLAM with moving probability towards dynamic environments
    Ao Li, Jikai Wang, Meng Xu, Zonghai Chen · 2021 · Information Sciences
  68. Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey
    Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  69. Multi-Level Fusion and Attention-Guided CNN for Image Dehazing
    Xiaoqin Zhang, Tao Wang, Wenhan Luo, Pengcheng Huang · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
  70. IM2CAD
    Hamid Izadinia, Qi Shan, Steven M. Seitz · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. Cascaded Feature Network for Semantic Segmentation of RGB-D Images
    Di Lin, Guangyong Chen, Daniel Cohen‐Or, Pheng‐Ann Heng, Hui Fei Huang · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  72. NormalNet: A voxel-based CNN for 3D object classification and retrieval
    Cheng Wang, Ming Cheng, Ferdous Ahmed Sohel, Mohammed Bennamoun, Jonathan Li · 2018 · Neurocomputing
  73. RGBD Datasets: Past, Present and Future
    Michael Firman · 2016 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  74. A Review on Deep Learning Techniques for 3D Sensed Data Classification
    David Griffiths, Jan Boehm · 2019 · Remote Sensing
  75. Semantic Segmentation With Context Encoding and Multi-Path Decoding
    Henghui Ding, Xudong Jiang, Bing Shuai, A. Q. Liu, Gang Wang · 2020 · IEEE Transactions on Image Processing
  76. FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
    Deng, Fuqin, Feng, Hua, Liang, Mingjian, Wang, Hongmin, Yang, Yong, Gao, Yuan, Chen, Junfeng, Hu, Junjie, Guo, Xiyue, Lam, Tin Lun · 2021 · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  77. RGB-D datasets using microsoft kinect or similar sensors: a survey
    Ziyun Cai, Jungong Han, Li Liu, Ling Shao · 2016 · Multimedia Tools and Applications
  78. RIO: 3D Object Instance Re-Localization in Changing Indoor Environments
    Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  79. Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera
    Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  80. SESS: Self-Ensembling Semi-Supervised 3D Object Detection
    Na Zhao, Tat‐Seng Chua, Gim Hee Lee · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  81. Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations
    Adel Ahmadyan, Liangkai Zhang, Artsiom Ablavatski, Jianing Wei, Matthias Grundmann · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  82. One-pass Multi-view Clustering for Large-scale Data
    Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  83. Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients
    Zhile Ren, Erik B. Sudderth · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  84. Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
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  85. DehazeGAN: When Image Dehazing Meets Differential Programming
    Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo‐Hwee Lim · 2018 · International Joint Conference on Artificial Intelligence
  86. 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
    He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  87. Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
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  88. Towards A Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation
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  89. A Comprehensive Review of Vision-Based 3D Reconstruction Methods
    Linglong Zhou, Guoxin Wu, Yunbo Zuo, Xuanyu Chen, Hong-Le Hu · 2024 · Italian National Conference on Sensors
  90. GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing
    Xiaohong Liu, Yongrui Ma, Zhihao Shi, Jun Chen · 2019 · arXiv (Cornell University)
  91. Exploring Context with Deep Structured Models for Semantic Segmentation
    Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian D. Reid · 2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  92. Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network
    Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen · 2019 · IEEE Signal Processing Letters
  93. Structure-Aware Residual Pyramid Network for Monocular Depth Estimation
    Xiaotian Chen, Xuejin Chen, Zheng-Jun Zha · 2019 · International Joint Conference on Artificial Intelligence
  94. FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
    Danila Rukhovich, Anna Vorontsova, Anton Konushin · 2022 · Lecture notes in computer science
  95. Variational Transformer Networks for Layout Generation
    Diego Martìn Arroyo, Janis Postels, Federico Tombari · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  96. iDisc: Internal Discretization for Monocular Depth Estimation
    Luigi Piccinelli, Christos Sakaridis, Fisher Yu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  97. CANet: Co-attention network for RGB-D semantic segmentation
    Hao Zhou, Lu Qi, Hai Yun Huang, Yang Xu, Zhaoliang Wan, Xianglong Wen · 2021 · Pattern Recognition
  98. Recurrent Scene Parsing with Perspective Understanding in the Loop
    Kong, Shu, Fowlkes, Charless · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  99. Deep Monocular Depth Estimation via Integration of Global and Local Predictions
    Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn · 2018 · IEEE Transactions on Image Processing
  100. LocalBins: Improving Depth Estimation by Learning Local Distributions
    Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka · 2022 · Lecture notes in computer science