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Computer-Vision-and-Robotics-Paper-List

★ 106 Open GitHub ↗

International Conferences and Journal on Computer Vision / Robotics

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<h1 align="center">
  Computer and Robot Vision
</h1>
<img src="https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/overview-2.png" style="zoom:100%;" />

## International Conferences and Journal  
* [CV & RO Conferences Deadlines / Website](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/International%20Conferences%20and%20Journal.md#international-conferences) 🔥
* [CV & RO SCI Journal Website](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/International%20Conferences%20and%20Journal.md#ro---%E6%9C%BA%E5%99%A8%E4%BA%BA) 🔥
* [AI Conference Deadlines](https://aideadlin.es/?sub=ML,CV,NLP,RO,SP,DM)🔥

## International Conference

* ### Robotic Conference
    * __ICRA__ : IEEE International Conference on Robotics and Automation
        * [[ICRA2020]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/ICRA2020.md) -> [[ICRA2021]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/ICRA2021.md) -> [[ICRA2022]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/IROS2022.md)   
    * __IROS__ : IEEE/RSJ International Conference on Intelligent Robots and Systems
        * [[IROS2020]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/IROS2020.md) -> [[IROS2021]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/IROS2021.md) -> [[IROS2022]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/IROS2022.md)   
    * __RSS__ : Robotics: Science and Systems
    * __HRI__ : ACM/IEEE International Conference on Human Robot Interaction
    * __ICARCV__ : International Conference on Control, Automation, Robotics and Vision
    * __CoRL__: Conference on Robot Learning
        * [[CoRL2021]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CoRL2021.md)
* ### Computer Vision Conference
    * __CVPR__ : IEEE/CVF Conference on Computer Vision and Pattern Recognition
        * [[CVPR2020]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md) -> [[CVPR2021]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2021.md)
    * __ECCV__ : European Conference on Computer Vision
        * [[ECCV2020]](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/ECCV2020.md)   
    * __ICCV__ : IEEE/CVF International Conference on Computer Vision
    * __BMVC__ : British Machine Vision Conference
    * __WACV__ : Workshop on Applications of Computer Vision
    * __ICIP__ : IEEE International Conference on Image Processing
    * __ACCV__ : Asian Conference on Computer Vision
    * __ICPR__ : International Conference on Pattern Recognition

* ### Artificial intelligence
    * __NIPS__: Conference and Workshop on Neural Information Processing Systems
    * __AAAI__: Association for the Advancement of Artificial Intelligence
    * __ICML__: International Conference on Machine Learning
    * __ICLR__: International Conference on Learning Representations

***
## Robot Vision Paper List

| Figure | Paper List |  Link | Keywords |
| :-----:| :--------: | :---: | :------: |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/FFB6D.png)|FFB6D: A Full Flow Biderectional Fusion Network for 6D Pose Estimation - **[CVPR 2021 Oral](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2021.md)** | [arXiv](https://arxiv.org/abs/1911.04231) [GitHub](https://github.com/ethnhe/FFB6D) |   6D Pose Estimation |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/Self6D.png)|Self6D: Self-Supervised Monocular 6D Object Pose Estimation - **[ECCV 2020 Oral](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/ECCV2020.md)** | [arXiv](https://arxiv.org/abs/2004.06468)|  Self-Supervised Learning, 6D Pose Estimation |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/G2L-Net.png)|G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)** | [arXiv](https://arxiv.org/abs/2003.11089) [GitHub](https://github.com/DC1991/G2L_Net) | 6D Object Pose Estimation, RGB-D image, real-time |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/LatentFusion.png)| LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)** | [arXiv](https://arxiv.org/abs/1912.00416) [GitHub](https://github.com/NVlabs/latentfusion) | 6D Object Pose Estimation, Unseen objects, Latent 3D representation |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/Single-Stage%206D%20Object%20Pose%20Estimation.png)| Single-Stage 6D Object Pose Estimation - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)** | [arXiv](https://arxiv.org/abs/1911.08324) [GitHub](https://github.com/cvlab-epfl/single-stage-pose) | 6D Object Pose Estimation, Single-stage, both accuracy and speed |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/PVN3D.png)| PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)** | [arXiv](https://arxiv.org/abs/1911.04231) [GitHub](https://github.com/ethnhe/PVN3D) | 6D Object Pose Estimation, single RGBD image, 3D-keypoint detection |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/HybridPose.png)| HybridPose: 6D Object Pose Estimation under Hybrid Representations - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)** | [arXiv](https://arxiv.org/abs/2001.01869) [GitHub](https://github.com/chensong1995/HybridPose) | 6D Object Pose Estimation, RGB data, Real-time |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/MoreFusion.png)| MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)** | [arXiv](https://arxiv.org/abs/2004.04336) [GitHub](https://github.com/wkentaro/morefusion) | 6D Object Pose Estimation, RGB-D data, Real-time |
| ![](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/EPOS.PNG) |   EPOS: Estimating 6D Pose of Objects with Symmetries - **[CVPR 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/CVPR2020.md)**  |   [arXiv](https://arxiv.org/abs/2004.00605) [HomePage](http://cmp.felk.cvut.cz/epos)   |   6D Object Pose Estimation, Single RGB input, Surface Fragments     |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/Self-supervised%206D%20Object%20Pose%20Estimation%20for%20Robot%20Manipulation.png) | Self-supervised 6D Object Pose Estimation for Robot Manipulation - **[ICRA 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/ICRA2020.md)** |  [arXiv](https://arxiv.org/abs/1909.10159) | Self-Supervised Learning, 6D Pose Estimation  |
| ![](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/Form2Fit.png) | Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly   - **[ICRA 2020](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/ICRA2020.md)** |  [arXiv](https://arxiv.org/pdf/1910.13675v1.pdf) [GitHub](https://github.com/kevinzakka/form2fit)| Self-Assembling Robots, self-supervised data-collection  |
| ![DenseFusion](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/DenseFusion.png) | DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion   - **CVPR 2019** |  [arXiv](https://arxiv.org/pdf/1901.04780v1.pdf) [GitHub](https://github.com/j96w/DenseFusion)| 6D Object Pose Estimation, RGB-D data, Real-time |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/PVNet.png)| PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation - **CVPR 2019**| [arXiv](https://arxiv.org/pdf/1812.11788.pdf) [GitHub](https://github.com/zju3dv/pvnet) | 6D Object Pose Estimation, Real-time, RANSAC |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/Normalized%20Object%20Coordinate%20Space%20for%20Category-Level.png)| Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation - **CVPR 2019** | [arXiv](https://arxiv.org/abs/1901.02970) [GitHub](https://github.com/hughw19/NOCS_CVPR2019) | 6D Object Pose Estimation, Normalized Object Coordinate Space, RGB-D image |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/Pix2Pose.png)| Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation - **ICCV 2019** | [arXiv](https://arxiv.org/abs/1908.07433) [GitHub](https://github.com/kirumang/Pix2Pose)| 6D Object Pose Estimation, Only RGB images |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/Multi-Task%20Template%20Matching%20for%20Object%20Detection.png)| Multi-Task Template Matching for Object Detection, Segmentation and Pose Etimation Using Depth Images - **ICRA 2019** | [IEEE](https://ieeexplore.ieee.org/document/8794448)| 6D Object Pose Estimation, Multi-Task Template Matching, Depth image, Segmentation masks  |
| ![](https://github.com/yehengchen/Computer-Vision-and-Robotics-Paper-List/blob/master/img/SINGLESHOTPOSE.png)| Real-Time Seamless Single Shot 6D Object Pose Prediction - **CVPR 2018** | [arXiv](https://arxiv.org/abs/1711.08848) [GitHub](https://github.com/Microsoft/singleshotpose)| 6D Object Pose Estimation, Real-time, RGB images |
| ![](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/DeepIM.png)| DeepIM: Deep Iterative Matching for 6D Pose Estimation - **ECCV 2018** |  [arXiv](https://arxiv.org/pdf/1804.00175v4.pdf) [GitHub](https://github.com/liyi14/mx-DeepIM)| 6D Object Pose Estimation, 6D Pose Matching |
| ![UnrealROX](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/UnrealROX.png) | UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation - **IROS 2018** | [arXiv](https://arxiv.org/pdf/1810.06936.pdf) [GitHub](https://github.com/3dperceptionlab/therobotrix)  |   Robotics Simulations and Synthetic Data Generation |
| ![posecnn](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/poseCNN.png) | PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes - **RSS 2018** | [arXiv](https://arxiv.org/abs/1711.00199) [GitHub](https://github.com/yuxng/PoseCNN) | 6D Object Pose Estimation |
| ![dope](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/dope.png) | Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects - **CoRL 2018** | [arXiv](https://arxiv.org/abs/1809.10790) [GitHub](https://github.com/NVlabs/Deep_Object_Pose) | 6D object pose estimation, Synthetic Data, Domain Randomization |
| ![ssd-6d](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/ssd-6d.png) | SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again - **ICCV 2017** | [arXiv](https://arxiv.org/pdf/1711.10006v1.pdf) [GitHub](https://github.com/wadimkehl/ssd-6d) | 3D Object Detection, 6D Object Pose Estimation |
| ![](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/Simulation%20to%20Real%20World%20for%20a%20Multi-Stage%20Task.png) | Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task - **CoRL 2017** | [arXiv](https://arxiv.org/pdf/1707.02267v2.pdf) [GitHub](https://github.com/stepjam/PyRep) | Manipulation, End-to-End Control, Domain Randomisation |
| ![domin](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/Domain%20Randomization.png) | Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World - **IROS 2017** | [arXiv](https://arxiv.org/abs/1703.06907) [GitHub](https://github.com/neka-nat/gazebo_domain_randomization) |    Domain Randomization，Simulated RGB images   |
| ![ACP](https://github.com/yehengchen/Computer-and-Robot-Vision-Paper-List/blob/master/img/ACP.png) | Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge - **APC 2016** | [arXiv](https://arxiv.org/pdf/1609.09475v3.pdf) [GitHub](https://github.com/andyzeng/apc-vision-toolbox)| 6D Object Pose Estimation                |

***

Computer-Vision-and-Robotics-Paper-List

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