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Recognizing objects from sparse and noisy events becomes extremely difficult when paired images and category labels do not exist.
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
Li Fei-Fei, Rob Fergus, and Pietro Perona · 2004
Earlier work this paper cites.
Simultaneous mosaicing and tracking with an event camera
Hanme Kim, Ankur Handa, Ryad Benosman, Sio-Hoi Ieng, and Andrew J Davison · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Interacting maps for fast visual interpretation
Matthew Cook, Luca Gugelmann, Florian Jug, Christoph Krautz, and Angelika Steger · 2011
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A spiking neural network architecture for visual motion estimation
Garrick Orchard, Ryad Benosman, Ralph Etienne-Cummings, and Nitish V Thakor · 2013
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Mapping from frame-driven to frame-free event-driven vision systems by low-rate rate coding and coincidence processing–application to feedforward convnets
José Antonio Pérez-Carrasco, Bo Zhao, Carmen Serrano, Begona Acha, Teresa Serrano-Gotarredona, Shouchun Chen, and Bernabé Linares-Barranco · 2013
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Converting static image datasets to spiking neuromorphic datasets using saccades
Garrick Orchard, Ajinkya Jayawant, Gregory K Cohen, and Nitish Thakor · 2015
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Hfirst: A temporal approach to object recognition
Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish Thakor, and Ryad Benosman · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Poker-dvs and mnist-dvs. their history, how they were made, and other details
Teresa Serrano-Gotarredona and Bernabé Linares-Barranco · 2015
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Simultaneous optical flow and intensity estimation from an event camera
Patrick Bardow, Andrew J Davison, and Stefan Leutenegger · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dvs benchmark datasets for object tracking, action recognition, and object recognition
Yuhuang Hu, Hongjie Liu, Michael Pfeiffer, and Tobi Delbruck · 2016
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Real-time 3d reconstruction and 6-dof tracking with an event camera
Hanme Kim, Stefan Leutenegger, and Andrew J Davison · 2016
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Hots: a hierarchy of event-based time-surfaces for pattern recognition
Xavier Lagorce, Garrick Orchard, Francesco Galluppi, Bertram E Shi, and Ryad B Benosman · 2016
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Training deep spiking neural networks using backpropagation
Jun Haeng Lee, Tobi Delbruck, and Michael Pfeiffer · 2016
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Phased lstm: Accelerating recurrent network training for long or event-based sequences
Daniel Neil, Michael Pfeiffer, and Shih-Chii Liu · 2016
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Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique
Paul KJ Park, Baek Hwan Cho, Jin Man Park, Kyoobin Lee, Ha Young Kim, Hyo Ah Kang, Hyun Goo Lee, Jooyeon Woo, Yohan Roh, Won Jo Lee, et al · 2016
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Real-time intensity-image reconstruction for event cameras using manifold regularisation
Christian Reinbacher, Gottfried Graber, and Thomas Pock · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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A low power, fully event-based gesture recognition system
Arnon Amir, Brian Taba, David Berg, Timothy Melano, Jeffrey McKinstry, Carmelo Di Nolfo, Tapan Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, et al · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Cifar10-dvs: an event-stream dataset for object classification
Hongmin Li, Hanchao Liu, Xiangyang Ji, Guoqi Li, and Luping Shi · 2017
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Live demonstration: Convolutional neural network driven by dynamic vision sensor playing roshambo
Iulia-Alexandra Lungu, Federico Corradi, and Tobi Delbrück · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Spatial and temporal downsampling in event-based visual classification
Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, and Andre van Schaik · 2018
Cited alongside, same era.
Asynchronous, photometric feature tracking using events and frames
Daniel Gehrig, Henri Rebecq, Guillermo Gallego, and Davide Scaramuzza · 2018
Cited alongside, same era.
Event-based vision meets deep learning on steering prediction for self-driving cars
Ana I Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, and Davide Scaramuzza · 2018
Cited alongside, same era.
Low-power dynamic object detection and classification with freely moving event cameras
Bharath Ramesh, Andrés Ussa, Luca Della Vedova, Hong Yang, and Garrick Orchard · 2020
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Fast image reconstruction with an event camera
Cedric Scheerlinck, Henri Rebecq, Daniel Gehrig, Nick Barnes, Robert Mahony, and Davide Scaramuzza · 2020
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Introduction and analysis of an event-based sign language dataset
Ajay Vasudevan, Pablo Negri, Bernabe Linares-Barranco, and Teresa Serrano-Gotarredona · 2020
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Eomvs: Event-based omnidirectional multi-view stereo
Hoonhee Cho, Jaeseok Jeong, and Kuk-Jin Yoon · 2021
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N-imagenet: Towards robust, fine-grained object recognition with event cameras
Junho Kim, Jaehyeok Bae, Gangin Park, Dongsu Zhang, and Young Min Kim · 2021
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Diederik Paul Moeys, Daniel Neil, Federico Corradi, Emmett Kerr, Philip Vance, Gautham Das, Sonya A Coleman, Thomas M McGinnity, Dermot Kerr, and Tobi Delbruck · 2018
Cited alongside, same era.
Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
Cited alongside, same era.
Learn to see by events: Color frame synthesis from event and rgb cameras
Stefano Pini, Guido Borghi, and Roberto Vezzani · 2018
Cited alongside, same era.
Hats: Histograms of averaged time surfaces for robust event-based object classification
Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, and Ryad Benosman · 2018
Cited alongside, same era.
Graph-based object classification for neuromorphic vision sensing
Yin Bi, Aaron Chadha, Alhabib Abbas, Eirina Bourtsoulatze, and Yiannis Andreopoulos · 2019
Cited alongside, same era.
Det: A high-resolution dvs dataset for lane extraction
Wensheng Cheng, Hao Luo, Wen Yang, Lei Yu, Shoushun Chen, and Wei Li · 2019
Cited alongside, same era.
End-to-end learning of representations for asynchronous event-based data
Daniel Gehrig, Antonio Loquercio, Konstantinos G Derpanis, and Davide Scaramuzza · 2019
Cited alongside, same era.
Federico Paredes-Vallés and Guido CHE de Croon · 2021
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Styleclip: Text-driven manipulation of stylegan imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Dual transfer learning for event-based end-task prediction via pluggable event to image translation
Lin Wang, Yujeong Chae, and Kuk-Jin Yoon · 2021
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Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation
Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, and Kuk-Jin Yoon · 2021
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Joint framework for single image reconstruction and super-resolution with an event camera
Lin Wang, Tae-Kyun Kim, and Kuk-Jin Yoon · 2021
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Event-based video reconstruction using transformer
Wenming Weng, Yueyi Zhang, and Zhiwei Xiong · 2021
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Image-based clip-guided essence transfer
Hila Chefer, Sagie Benaim, Roni Paiss, and Lior Wolf · 2022
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Event-image fusion stereo using cross-modality feature propagation
Hoonhee Cho and Kuk-Jin Yoon · 2022
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Selection and cross similarity for event-image deep stereo
Hoonhee Cho and Kuk-Jin Yoon · 2022
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Masked event modeling: Self-supervised pretraining for event cameras
Simon Klenk, David Bonello, Lukas Koestler, and Daniel Cremers · 2022
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Clip-forge: Towards zero-shot text-to-shape generation
Aditya Sanghi, Hang Chu, Joseph G Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, and Kamal Rahimi Malekshan · 2022
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Secrets of event-based optical flow
Shintaro Shiba, Yoshimitsu Aoki, and Guillermo Gallego · 2022
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Event-based fusion for motion deblurring with cross-modal attention
Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, and Luc Van Gool · 2022
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Zerocap: Zero-shot image-to-text generation for visual-semantic arithmetic
Yoad Tewel, Yoav Shalev, Idan Schwartz, and Lior Wolf · 2022
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Clip2scene: Towards label-efficient 3d scene understanding by clip
Runnan Chen, Youquan Liu, Lingdong Kong, Xinge Zhu, Yuexin Ma, Yikang Li, Yuenan Hou, Yu Qiao, and Wenping Wang · 2023
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Learning adaptive dense event stereo from the image domain
Hoonhee Cho, Jegyeong Cho, and Kuk-Jin Yoon · 2023
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Event-based video frame interpolation with cross-modal asymmetric bidirectional motion fields
Taewoo Kim, Yujeong Chae, Hyun-Kurl Jang, and Kuk-Jin Yoon · 2023
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