Imagen de Portada

i-FlatCam: A 253 FPS, 91.49 $μ$J/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhao, Yang, Li, Ziyun, Fu, Yonggan, Zhang, Yongan, Li, Chaojian, Wan, Cheng, You, Haoran, Wu, Shang, Ouyang, Xu, Boominathan, Vivek, Veeraraghavan, Ashok, Lin, Yingyan Celine
Formato:	Preprint
Publicado:	2022
Materias:	Hardware Architecture
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design
por: You, Haoran, et al.
Publicado: (2022)

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
por: Fu, Yonggan, et al.
Publicado: (2021)

Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR
por: Ye, Zhifan, et al.
Publicado: (2025)

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
por: Li, Chaojian, et al.
Publicado: (2022)

NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation
por: Jiang, Weiyun, et al.
Publicado: (2023)

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
por: Fu, Yonggan, et al.
Publicado: (2020)

DNA: Differentiable Network-Accelerator Co-Search
por: Zhang, Yongan, et al.
Publicado: (2020)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
por: Fu, Yonggan, et al.
Publicado: (2023)

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
por: Fu, Yonggan, et al.
Publicado: (2021)

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
por: Fu, Yonggan, et al.
Publicado: (2021)

MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
por: Zhang, Yongan, et al.
Publicado: (2024)

Streaming quanta sensors for online, high-performance imaging and vision
por: Zhang, Tianyi, et al.
Publicado: (2024)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
por: Fu, Yonggan, et al.
Publicado: (2021)

HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
por: Li, Chaojian, et al.
Publicado: (2021)

Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
por: Fu, Yonggan, et al.
Publicado: (2024)

Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
por: Li, Sixu, et al.
Publicado: (2023)

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
por: Li, Chaojian, et al.
Publicado: (2021)

JaneEye: A 12-nm 2K-FPS 18.9-$μ$J/Frame Event-based Eye Tracking Accelerator
por: Han, Tao, et al.
Publicado: (2025)

ShiftAddNet: A Hardware-Inspired Deep Network
por: You, Haoran, et al.
Publicado: (2020)

MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
por: Li, Chaojian, et al.
Publicado: (2023)

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
por: Fu, Yonggan, et al.
Publicado: (2020)

Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers
por: Li, Chaojian, et al.
Publicado: (2025)

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
por: Peng, Zhengyuan, et al.
Publicado: (2025)

ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
por: You, Haoran, et al.
Publicado: (2022)

Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
por: Ghanekar, Bhargav, et al.
Publicado: (2024)

FlexiCamAR: Enhancing Everyday Camera Interactions on AR Glasses with a Flexible Additional Viewpoint
por: Li, Ziming, et al.
Publicado: (2026)

ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
por: Li, Chaojian, et al.
Publicado: (2023)

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
por: Fu, Yonggan, et al.
Publicado: (2024)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
por: You, Haoran, et al.
Publicado: (2022)

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
por: You, Haoran, et al.
Publicado: (2021)

A Lensless Polarization Camera
por: Kraicer, Noa, et al.
Publicado: (2026)

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
por: Fu, Yonggan, et al.
Publicado: (2022)

Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks
por: You, Haoran, et al.
Publicado: (2019)

INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors
por: Li, Chaojian, et al.
Publicado: (2022)

Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
por: Fu, Yonggan, et al.
Publicado: (2023)

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
por: Fu, Yonggan, et al.
Publicado: (2022)

Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
por: You, Haoran, et al.
Publicado: (2021)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
por: Fu, Yonggan, et al.
Publicado: (2020)

Compact Eye Tracking for VR/AR Displays via Deep Learned MicroLED Projection and Single-Pixel Sensing
por: Johnstone, Graeme E., et al.
Publicado: (2025)

Learned Display Radiance Fields with Lensless Cameras
por: Chen, Ziyang, et al.
Publicado: (2025)