Chenming Hu

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All published works

Action	Title	Year	Authors
+ PDF Chat	EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-Based Optical Flow With Hybrid Motion-Compensation Loss	2024	Hao Zhuang Zheng Fang Xinjie Huang Kuanxu Hou Delei Kong Chenming Hu

Common Coauthors

Coauthor	Papers Together
Delei Kong	1
Kuanxu Hou	1
Zheng Fang	1
Xinjie Huang	1
Hao Zhuang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception	2019	Federico Paredes-Vallés Kirk Y. W. Scheper Guido C. H. E. de Croon	1
+ PDF Chat	Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion	2019	Alex Zihao Zhu Liangzhe Yuan Kenneth Chaney Kostas Daniilidis	1
+	Delving Deeper into Convolutional Networks for Learning Video Representations	2015	Nicolas Ballas Li Yao Chris Pal Aaron Courville	1
+ PDF Chat	Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation	2019	Junhwa Hur Stefan Roth	1
+ PDF Chat	Focus Is All You Need: Loss Functions for Event-Based Vision	2019	Guillermo Gallego Mathias Gehrig Davide Scaramuzza	1
+ PDF Chat	High Speed and High Dynamic Range Video with an Event Camera	2019	Henri Rebecq René Ranftl Vladlen Koltun Davide Scaramuzza	1
+ PDF Chat	Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks	2020	Chankyu Lee Adarsh Kumar Kosta Alex Zihao Zhu Kenneth Chaney Kostas Daniilidis Kaushik Roy	1
+ PDF Chat	A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation	2018	Guillermo Gallego Henri Rebecq Davide Scaramuzza	1
+ PDF Chat	Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars	2018	Ana I. Maqueda Antonio Loquercio Guillermo Gallego Narciso Garcı́a Davide Scaramuzza	1
+ PDF Chat	Reducing the Sim-to-Real Gap for Event Cameras	2020	Timo Stoffregen Cedric Scheerlinck Davide Scaramuzza Tom Drummond Nick Barnes Lindsay Kleeman Robert Mahony	1
+ PDF Chat	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow	2020	Zachary Teed Jia Deng	1
+ PDF Chat	The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM	2017	Elias Mueggler Henri Rebecq Guillermo Gallego Tobi Delbrück Davide Scaramuzza	1
+ PDF Chat	Learning Monocular Dense Depth from Events	2020	Javier Hidalgo‐Carrió Daniel Gehrig Davide Scaramuzza	1
+	Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction	2021	Daniel Gehrig Michelle Rüegg Mathias Gehrig Javier Hidalgo‐Carrió Davide Scaramuzza	1
+ PDF Chat	Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures	2022	Chankyu Lee Adarsh Kumar Kosta Kaushik Roy	1
+ PDF Chat	Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy	2021	Federico Paredes-Vallés Guido C. H. E. de Croon	1
+ PDF Chat	Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation	2022	Ziluo Ding Rui Zhao Jiyuan Zhang Tianxiao Gao Ruiqin Xiong Zhaofei Yu Tiejun Huang	1
+ PDF Chat	FAMINet: Learning Real-Time Semisupervised Video Object Segmentation With Steepest Optimized Optical Flow	2021	Ziyang Liu Jingmeng Liu Weihai Chen Xingming Wu Zhengguo Li	1
+ PDF Chat	E-RAFT: Dense Optical Flow from Event Cameras	2021	Mathias Gehrig Mario Millhäusler Daniel Gehrig Davide Scaramuzza	1
+ PDF Chat	Event Collapse in Contrast Maximization Frameworks	2022	Shintaro Shiba Yoshimitsu Aoki Guillermo Gallego	1
+ PDF Chat	A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions	2022	Mohammed Salah Mohammed Chehadah Muhammad Ahmed Humais Mohamad Wahbah Abdulla Ayyad Rana Azzam Lakmal Seneviratne Yahya Zweiri	1
+ PDF Chat	Secrets of Event-Based Optical Flow	2022	Shintaro Shiba Yoshimitsu Aoki Guillermo Gallego	1
+ PDF Chat	Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow	2022	Zelin Zhang Anthony Yezzi Guillermo Gallego	1
+	Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	2023	Zheng Xu Yexin Liu Yunfan Lu Tongyan Hua Tianbo Pan Weiming Zhang Dacheng Tao Lin Wang	1
+ PDF Chat	FE-Fusion-VPR: Attention-Based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events	2023	Kuanxu Hou Delei Kong Junjie Jiang Hao Zhuang Xinjie Huang Zheng Fang	1
+ PDF Chat	Motion Robust High-Speed Light-Weighted Object Detection With Event Camera	2023	Bingde Liu Chang Xu Wen Yang Huai Yu Lei Yu	1
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Chat	Neuro-Planner: A 3D Visual Navigation Method for MAV With Depth Camera Based on Neuromorphic Reinforcement Learning	2023	Junjie Jiang Delei Kong Kuanxu Hou Xinjie Huang Hao Zhuang Zheng Fang	1