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Event-based Temporally Dense Optical Flow Estimation with Sequential
  Learning

Event-based Temporally Dense Optical Flow Estimation with Sequential Learning

3 October 2022
Wachirawit Ponghiran
C. Liyanagedera
Kaushik Roy
ArXivPDFHTML

Papers citing "Event-based Temporally Dense Optical Flow Estimation with Sequential Learning"

16 / 16 papers shown
Title
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
Haoyang Wang
Ruishan Guo
Pengtao Ma
Ciyu Ruan
Xinyu Luo
Wenhua Ding
Tianyang Zhong
Jingao Xu
Yunhao Liu
Xinlei Chen
42
0
0
29 Mar 2025
Learning Normal Flow Directly From Event Neighborhoods
Learning Normal Flow Directly From Event Neighborhoods
Dehao Yuan
Levi Burner
Jiayi Wu
Minghui Liu
Jingxi Chen
Yiannis Aloimonos
Cornelia Fermuller
3DPC
122
3
0
15 Dec 2024
TSkips: Efficiency Through Explicit Temporal Delay Connections in
  Spiking Neural Networks
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
Prajna G. Malettira
Shubham Negi
Wachirawit Ponghiran
Kaushik Roy
AI4TS
69
1
0
22 Nov 2024
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for
  Event-based Learning
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning
Yukun Tian
Hao Chen
Yongjian Deng
Feihong Shen
Kepan Liu
Wei You
Ziyang Zhang
29
0
0
18 Sep 2024
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning
Amogh Joshi
Adarsh Kosta
Kaushik Roy
OffRL
42
2
0
16 Sep 2024
SDformerFlow: Spatiotemporal swin spikeformer for event-based optical
  flow estimation
SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation
Yi Tian
Juan Andrade-Cetto
27
0
0
06 Sep 2024
Recent Event Camera Innovations: A Survey
Recent Event Camera Innovations: A Survey
Bharatesh Chakravarthi
Aayush Atul Verma
Kostas Daniilidis
Cornelia Fermuller
Yezhou Yang
34
21
0
24 Aug 2024
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN
  Comparison based on Activation Sparsification
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification
Yingfu Xu
Guangzhi Tang
Amirreza Yousefzadeh
Guido de Croon
Manolis Sifalakis
30
3
0
29 Jul 2024
Co-designing a Sub-millisecond Latency Event-based Eye Tracking System
  with Submanifold Sparse CNN
Co-designing a Sub-millisecond Latency Event-based Eye Tracking System with Submanifold Sparse CNN
Baoheng Zhang
Yizhao Gao
Jingyuan Li
Hayden Kwok-Hay So
26
3
0
22 Apr 2024
Enhanced Event-Based Video Reconstruction with Motion Compensation
Enhanced Event-Based Video Reconstruction with Motion Compensation
Siying Liu
P. Dragotti
28
1
0
18 Mar 2024
Towards Anytime Optical Flow Estimation with Event Cameras
Towards Anytime Optical Flow Estimation with Event Cameras
Yaozu Ye
Haowen Shi
Kailun Yang
Ze Wang
Xiaoyue Yin
Yining Lin
Mao Liu
Yaonan Wang
3DPC
57
3
0
11 Jul 2023
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive
  Spiking Encoder-Decoder Network
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Rui Zhang
Luziwei Leng
Kaiwei Che
Hu Zhang
Jieling Cheng
Qinghai Guo
Jiangxing Liao
Ran Cheng
29
11
0
24 Apr 2023
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking
  Neural Networks with Learnable Neuronal Dynamics
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics
Adarsh Kosta
Kaushik Roy
27
26
0
21 Sep 2022
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient
  Hybrid Neural Networks
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
81
160
0
14 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
111
481
0
26 Mar 2018
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,902
0
13 Jun 2015
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