Learning Monocular Dense Depth from Events

16 October 2020

Papers citing "Learning Monocular Dense Depth from Events"

9 / 9 papers shown

Title
DELTA: Dense Depth from Events and LiDAR using Transformer's Attention Vincent Brebion Julien Moreau Franck Davoine 18 0 0 05 May 2025
Expanding Event Modality Applications through a Robust CLIP-Based Encoder SungHeon Jeong Hanning Chen Sanggeon Yun Suhyeon Cho Wenjun Huang Xiangjian Liu Mohsen Imani 87 1 0 04 Dec 2024
DEIO: Deep Event Inertial Odometry Weipeng Guan Fuling Lin Peiyu Chen P. Lu 46 2 0 06 Nov 2024
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation Xin Zhang Liangxiu Han Tam Sobeih Lianghao Han Darren Dancey 37 1 0 26 Apr 2024
SGE: Structured Light System Based on Gray Code with an Event Camera Xingyu Lu Lei Sun Diyang Gu Zhijie Xu 3DV 19 1 0 12 Mar 2024
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks ZiYun Wang F. Ojeda Anthony Bisulco Daewon Lee Camillo J. Taylor Kostas Daniilidis M. A. Hsieh Daniel D. Lee Volkan Isler 15 13 0 14 Apr 2023
Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network Kristoffer Fogh Andersen H. Pham Halil Ibrahim Ugurlu Erdal Kayacan 6 8 0 05 Apr 2022
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 170 1,687 0 06 Jun 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 188 7,816 0 13 Jun 2015