SODFormer: Streaming Object Detection With Transformer Using Events and Frames
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
SODFormer: Streaming Object Detection With Transformer Using Events and Frames
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume 45, Issue 11, Pages 14020-14037
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-07-27
DOI
10.1109/tpami.2023.3298925
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation
- (2022) Nico Messikommer et al. IEEE Robotics and Automation Letters
- VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM
- (2022) Ling Gao et al. IEEE Robotics and Automation Letters
- Low Cost and Latency Event Camera Background Activity Denoising
- (2022) Shasha Guo et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction
- (2021) Daniel Gehrig et al. IEEE Robotics and Automation Letters
- Real-time face & eye tracking and blink detection using event cameras
- (2021) Cian Ryan et al. NEURAL NETWORKS
- Fusion-Based Feature Attention Gate Component for Vehicle Detection Based on Event Camera
- (2021) Hu Cao et al. IEEE SENSORS JOURNAL
- GEM: Glare or Gloom, I Can Still See You – End-to-End Multi-Modal Object Detection
- (2021) Osama Mazhar et al. IEEE Robotics and Automation Letters
- Asynchronous Spatiotemporal Spike Metric for Event Cameras
- (2021) Jianing Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception
- (2020) Guang Chen et al. IEEE SIGNAL PROCESSING MAGAZINE
- Scene Text Detection and Recognition: The Deep Learning Era
- (2020) Shangbang Long et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Event-Based Vision: A Survey
- (2020) Guillermo Gallego et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Imbalance Problems in Object Detection: A Review
- (2020) Kemal Oksuz et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors
- (2019) Guang Chen et al. Frontiers in Neurorobotics
- EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames
- (2019) Daniel Gehrig et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms
- (2019) Shih-Chii Liu et al. IEEE SIGNAL PROCESSING MAGAZINE
- Deep Learning for Generic Object Detection: A Survey
- (2019) Li Liu et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Towards spike-based machine intelligence with neuromorphic computing
- (2019) Kaushik Roy et al. NATURE
- Multi-model ensemble with rich spatial information for object detection
- (2019) Jie Xu et al. PATTERN RECOGNITION
- A Sensitive Dynamic and Active Pixel Vision Sensor for Color or Neural Imaging Applications
- (2018) Diederik Paul Moeys et al. IEEE Transactions on Biomedical Circuits and Systems
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor
- (2014) Christian Brandli et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output
- (2014) Christoph Posch et al. PROCEEDINGS OF THE IEEE
- A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain
- (2012) Alexander G. Huth et al. NEURON
- A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
- (2008) Patrick Lichtsteiner et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now