Video Synthesis from Intensity and Event Frames
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Rita Cucchiara | Guido Borghi | Stefano Pini | Roberto Vezzani | R. Cucchiara | S. Pini | G. Borghi | R. Vezzani
[1] Tobi Delbruck,et al. A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor , 2014, IEEE Journal of Solid-State Circuits.
[2] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[3] Narciso García,et al. Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Tobi Delbrück,et al. The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM , 2016, Int. J. Robotics Res..
[5] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.
[6] Rita Cucchiara,et al. Fully Convolutional Network for Head Detection with Depth Images , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[7] Alexander Andreopoulos,et al. A Low Power, High Throughput, Fully Event-Based Stereo System , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[9] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[10] Kostas Daniilidis,et al. Event-Based Visual Inertial Odometry , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Stefan Leutenegger,et al. Simultaneous Optical Flow and Intensity Estimation from an Event Camera , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Nitish V. Thakor,et al. HFirst: A Temporal Approach to Object Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[14] Yi Zhou,et al. Semi-Dense 3D Reconstruction with a Stereo Event Camera , 2018, ECCV.
[15] Thomas Pock,et al. Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation , 2016, International Journal of Computer Vision.
[16] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[17] Yiannis Aloimonos,et al. Event-Based Moving Object Detection and Tracking , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[18] Garrick Orchard,et al. HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[20] Nick Barnes,et al. Continuous-time Intensity Estimation Using Event Cameras , 2018, ACCV.
[21] Shihao Zhang,et al. Long-term object tracking with a moving event camera , 2018, BMVC.
[22] Tobi Delbrück,et al. A 128 X 128 120db 30mw asynchronous vision sensor that responds to relative intensity change , 2006, 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers.
[23] Davide Scaramuzza,et al. A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Tobi Delbrück,et al. Live demonstration: Convolutional neural network driven by dynamic vision sensor playing RoShamBo , 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).
[25] Tobi Delbrück,et al. DDD17: End-To-End DAVIS Driving Dataset , 2017, ArXiv.
[26] Davide Scaramuzza,et al. Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Tobi Delbrück,et al. Steering a predator robot using a mixed frame/event-driven convolutional neural network , 2016, 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).
[28] Davide Scaramuzza,et al. EMVS: Event-based Multi-View Stereo , 2016, BMVC.