Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2405.08300
Cited By
v1
v2
v3 (latest)
Vector-Symbolic Architecture for Event-Based Optical Flow
14 May 2024
Hongzhi You
Yijun Cao
Wei Yuan
Fanjun Wang
Ning Qiao
Yongjie Li
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Vector-Symbolic Architecture for Event-Based Optical Flow"
36 / 36 papers shown
Title
Fast Feature Field (
F
3
\text{F}^3
F
3
): A Predictive Representation of Events
Richeek Das
Kostas Daniilidis
Pratik Chaudhari
MDE
136
0
0
29 Sep 2025
Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras
Shuang Guo
Friedhelm Hamann
Guillermo Gallego
251
4
0
21 Mar 2025
Learning Normal Flow Directly From Event Neighborhoods
Dehao Yuan
Levi Burner
Jiayi Wu
Minghui Liu
Jingxi Chen
Yiannis Aloimonos
Cornelia Fermuller
3DPC
326
5
0
15 Dec 2024
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification
Pieter Dewulf
B. De Baets
Michiel Stock
189
3
0
14 Nov 2023
Towards Anytime Optical Flow Estimation with Event Cameras
Italian National Conference on Sensors (INS), 2023
Yaozu Ye
Haowen Shi
Kailun Yang
Ze Wang
Xiaoyue Yin
Yining Lin
Mao Liu
Yaonan Wang
3DPC
369
9
0
11 Jul 2023
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Yijin Li
Zhaoyang Huang
Shuo Chen
Xiaoyu Shi
Jiaming Song
Hujun Bao
Zhaopeng Cui
Guofeng Zhang
192
37
0
14 Mar 2023
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
IEEE International Conference on Robotics and Automation (ICRA), 2022
Yilun Wu
Federico Paredes-Valles
Guido de Croon
305
30
0
24 Nov 2022
Learning Dense and Continuous Optical Flow from an Event Camera
IEEE Transactions on Image Processing (IEEE TIP), 2022
Zhexiong Wan
Yuchao Dai
Yuxin Mao
209
75
0
16 Nov 2022
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
Bruno A. Olshausen
Yulia Sandamirskaya
Friedrich T. Sommer
E. P. Frady
324
25
0
26 Aug 2022
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory
European Solid-State Circuits Conference (ESSCIRC), 2022
G. Karunaratne
Michael Hersche
Jovin Langenegger
G. Cherubini
Corey Lammie
...
I. Ahsan
Vijay Narayanan
Luca Benini
Abu Sebastian
Abbas Rahimi
91
20
0
14 Jul 2022
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Michael Hersche
Mustafa Zeqiri
Luca Benini
Abu Sebastian
Abbas Rahimi
NAI
223
111
0
09 Mar 2022
Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
Vincent Brebion
Julien Moreau
Franck Davoine
191
43
0
20 Dec 2021
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment
Pattern Recognition (Pattern Recogn.), 2021
Yijun Cao
Xian-Shi Zhang
Fuya Luo
Peng Peng
Yongjie Li
264
12
0
22 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
377
160
0
12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
317
164
0
11 Nov 2021
Computing on Functions Using Randomized Vector Representations
Neuro Inspired Computational Elements Workshop (NICE), 2021
E. P. Frady
Denis Kleyko
Christopher J. Kymn
Bruno A. Olshausen
Friedrich T. Sommer
140
78
0
08 Sep 2021
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan
Hang Gao
S. Gandhi
Edward Raff
Tim Oates
James Holt
Mark McLean
234
29
0
05 Sep 2021
E-RAFT: Dense Optical Flow from Event Cameras
International Conference on 3D Vision (3DV), 2021
Mathias Gehrig
Mario Millhäusler
Daniel Gehrig
Davide Scaramuzza
227
174
0
24 Aug 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
J. Hagenaars
Federico Paredes-Valles
Guido de Croon
218
161
0
03 Jun 2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Computer Vision and Pattern Recognition (CVPR), 2021
Austin Stone
Daniel Maurer
Alper Ayvaci
A. Angelova
Rico Jonschkowski
263
101
0
14 May 2021
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
IEEE Robotics and Automation Letters (RA-L), 2021
Mathias Gehrig
Willem Aarents
Daniel Gehrig
Davide Scaramuzza
3DV
239
437
0
10 Mar 2021
Hyperdimensional computing as a framework for systematic aggregation of image descriptors
Computer Vision and Pattern Recognition (CVPR), 2021
Peer Neubert
Stefan Schubert
197
56
0
19 Jan 2021
Robust High-dimensional Memory-augmented Neural Networks
Nature Communications (Nat Commun), 2020
G. Karunaratne
Manuel Schmuck
Corey Lammie
G. Cherubini
Luca Benini
Abu Sebastian
Abbas Rahimi
167
110
0
05 Oct 2020
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
Computer Vision and Pattern Recognition (CVPR), 2020
Federico Paredes-Valles
Guido de Croon
256
179
0
17 Sep 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
European Conference on Computer Vision (ECCV), 2020
Zachary Teed
Gaowen Liu
MDE
861
3,276
0
26 Mar 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
European Conference on Computer Vision (ECCV), 2020
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
289
185
0
14 Mar 2020
In-memory hyperdimensional computing
Nature Electronics (Nat Electron), 2019
G. Karunaratne
Corey Lammie
G. Cherubini
Luca Benini
Abbas Rahimi
Abu Sebastian
141
269
0
04 Jun 2019
Event-based Vision: A Survey
Guillermo Gallego
T. Delbruck
Garrick Orchard
Chiara Bartolozzi
B. Taba
...
Stefan Leutenegger
Andrew J. Davison
Jorg Conradt
Kostas Daniilidis
Davide Scaramuzza
326
2,196
0
17 Apr 2019
Focus Is All You Need: Loss Functions For Event-based Vision
Guillermo Gallego
Mathias Gehrig
Davide Scaramuzza
150
145
0
15 Apr 2019
Unsupervised Event-based Learning of Optical Flow, Depth, and Egomotion
A. Z. Zhu
Liangzhe Yuan
Kenneth Chaney
Kostas Daniilidis
MDE
270
607
0
19 Dec 2018
Real-time high speed motion prediction using fast aperture-robust event-driven visual flow
Himanshu Akolkar
S. Ieng
R. Benosman
145
59
0
27 Nov 2018
Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor
Timo Stoffregen
L. Kleeman
130
60
0
31 May 2018
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation
Guillermo Gallego
Henri Rebecq
Davide Scaramuzza
157
369
0
04 Apr 2018
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
A. Z. Zhu
Liangzhe Yuan
Kenneth Chaney
Kostas Daniilidis
324
482
0
19 Feb 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
578
2,658
0
07 Sep 2017
Adam: A Method for Stochastic Optimization
International Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.4K
160,138
0
22 Dec 2014
1