ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.02960
  4. Cited By
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical
  Flow Estimation

Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation

5 June 2023
Shubham Negi
Deepika Sharma
Adarsh Kosta
Kaushik Roy
ArXivPDFHTML

Papers citing "Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation"

4 / 4 papers shown
Title
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
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
124
293
0
04 May 2020
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
91
160
0
14 Mar 2020
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
146
7,337
0
05 Jun 2015
1