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. 1710.10800
  4. Cited By
DART: Distribution Aware Retinal Transform for Event-based Cameras

DART: Distribution Aware Retinal Transform for Event-based Cameras

30 October 2017
Bharath Ramesh
Hong Yang
Garrick Orchard
Ngoc Anh Le Thi
Shihao Zhang
C. Xiang
ArXivPDFHTML

Papers citing "DART: Distribution Aware Retinal Transform for Event-based Cameras"

20 / 20 papers shown
Title
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking
TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking
Adarsh Kosta
Amogh Joshi
Arjun Roy
Rohan Kumar Manna
M. Nagaraj
Kaushik Roy
56
2
0
21 Jan 2025
Neuromorphic Facial Analysis with Cross-Modal Supervision
Neuromorphic Facial Analysis with Cross-Modal Supervision
Federico Becattini
Luca Cultrera
Lorenzo Berlincioni
Claudio Ferrari
Andrea Leonardo
A. Bimbo
CVBM
3DH
64
0
0
16 Sep 2024
Spiking Convolutional Neural Networks for Text Classification
Spiking Convolutional Neural Networks for Text Classification
Changze Lv
Jianhan Xu
Xiaoqing Zheng
58
28
0
27 Jun 2024
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Yijin Li
Han Zhou
Bangbang Yang
Yexin Zhang
Zhaopeng Cui
Hujun Bao
Guofeng Zhang
41
95
0
28 Aug 2023
Improving Stability and Performance of Spiking Neural Networks through
  Enhancing Temporal Consistency
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency
Dongcheng Zhao
Guobin Shen
Yiting Dong
Yang Li
Yi Zeng
46
7
0
23 May 2023
Unsupervised Domain Adaptation for Training Event-Based Networks Using
  Contrastive Learning and Uncorrelated Conditioning
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning
Dayuan Jian
Mohammad Rostami
36
14
0
22 Mar 2023
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution
  and Attention for Spiking Neural Networks
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Chengting Yu
Zheming Gu
Da Li
Gaoang Wang
Aili Wang
Erping Li
54
36
0
11 Oct 2022
DOTIE - Detecting Objects through Temporal Isolation of Events using a
  Spiking Architecture
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
M. Nagaraj
C. Liyanagedera
Kaushik Roy
20
22
0
03 Oct 2022
AEGNN: Asynchronous Event-based Graph Neural Networks
AEGNN: Asynchronous Event-based Graph Neural Networks
S. Schaefer
Daniel Gehrig
Davide Scaramuzza
GNN
26
142
0
31 Mar 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Yuhang Li
Youngeun Kim
Hyoungseob Park
Tamar Geller
Priyadarshini Panda
36
75
0
11 Mar 2022
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment
  For Training Deep Spiking Neural Networks
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
Guobin Shen
Dongcheng Zhao
Yi Zeng
38
54
0
17 Oct 2021
EventPoint: Self-Supervised Interest Point Detection and Description for
  Event-based Camera
EventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera
Ze Huang
Li Sun
Cheng Zhao
Song Li
Songzhi Su
3DPC
53
15
0
01 Sep 2021
Superevents: Towards Native Semantic Segmentation for Event-based
  Cameras
Superevents: Towards Native Semantic Segmentation for Event-based Cameras
Weng Fei Low
A. Sonthalia
Zhi Gao
André van Schaik
Bharath Ramesh
26
9
0
13 May 2021
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Hanle Zheng
Yujie Wu
Lei Deng
Yifan Hu
Guoqi Li
19
503
0
29 Oct 2020
A Hybrid Neuromorphic Object Tracking and Classification Framework for
  Real-time Systems
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems
Andrés Ussa
Chockalingam Senthil Rajen
Deepak Singla
Jyotibdha Acharya
Gideon Fu Chuanrong
A. Basu
Bharath Ramesh
37
14
0
21 Jul 2020
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities
  and Differences
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences
Weihua He
Yujie Wu
Lei Deng
Guoqi Li
Haoyu Wang
Yang Tian
Wei Ding
Wenhui Wang
Yuan Xie
88
125
0
02 May 2020
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision
  Sensing
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
25
26
0
08 Oct 2019
Speed Invariant Time Surface for Learning to Detect Corner Points with
  Event-Based Cameras
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras
Jacques Manderscheid
A. Sironi
Nicolas Bourdis
D. Migliore
Vincent Lepetit
16
95
0
27 Mar 2019
Asynchronous Convolutional Networks for Object Detection in Neuromorphic
  Cameras
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras
Marco Cannici
Marco Ciccone
Andrea Romanoni
Matteo Matteucci
ObjD
16
113
0
21 May 2018
The Event-Camera Dataset and Simulator: Event-based Data for Pose
  Estimation, Visual Odometry, and SLAM
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM
Elias Mueggler
Henri Rebecq
Guillermo Gallego
T. Delbruck
Davide Scaramuzza
VGen
38
592
0
26 Oct 2016
1