Computer Vision and Deep Learning for 4D Augmented Reality
Fuente:
arXiv
Saved in:
| Main Author: | Shivashankar, Karthik |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
by: Zhang, Jingyu, et al.
Published: (2024)
by: Zhang, Jingyu, et al.
Published: (2024)
Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey
by: Xu, Yiwen, et al.
Published: (2026)
by: Xu, Yiwen, et al.
Published: (2026)
SEGAR: Selective Enhancement for Generative Augmented Reality
by: Bu, Fanjun, et al.
Published: (2026)
by: Bu, Fanjun, et al.
Published: (2026)
Dynamic Universal Approximation Theory: The Basic Theory for Deep Learning-Based Computer Vision Models
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision
by: S, Gabriel Pérez, et al.
Published: (2024)
by: S, Gabriel Pérez, et al.
Published: (2024)
Generating Realistic Synthetic Head Rotation Data for Extended Reality using Deep Learning
by: Struye, Jakob, et al.
Published: (2025)
by: Struye, Jakob, et al.
Published: (2025)
3D Reconstruction of Shoes for Augmented Reality
by: Shrestha, Pratik, et al.
Published: (2025)
by: Shrestha, Pratik, et al.
Published: (2025)
A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
by: Chen, Rongqian, et al.
Published: (2025)
by: Chen, Rongqian, et al.
Published: (2025)
A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision
by: Rohan, Ali, et al.
Published: (2025)
by: Rohan, Ali, et al.
Published: (2025)
A Method to Facilitate Membership Inference Attacks in Deep Learning Models
by: Chen, Zitao, et al.
Published: (2024)
by: Chen, Zitao, et al.
Published: (2024)
Deep Learning-Based Computer Vision Models for Early Cancer Detection Using Multimodal Medical Imaging and Radiogenomic Integration Frameworks
by: Oghenekaro, Emmanuella Avwerosuoghene
Published: (2025)
by: Oghenekaro, Emmanuella Avwerosuoghene
Published: (2025)
Deep Active Learning: A Reality Check
by: Gashi, Edrina, et al.
Published: (2024)
by: Gashi, Edrina, et al.
Published: (2024)
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA
by: Karmani, Sachin, et al.
Published: (2024)
by: Karmani, Sachin, et al.
Published: (2024)
MInDI-3D: Iterative Deep Learning in 3D for Sparse-view Cone Beam Computed Tomography
by: Barco, Daniel, et al.
Published: (2025)
by: Barco, Daniel, et al.
Published: (2025)
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning
by: Lu, Feiyu, et al.
Published: (2025)
by: Lu, Feiyu, et al.
Published: (2025)
A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images
by: Hu, Xiaoqian
Published: (2025)
by: Hu, Xiaoqian
Published: (2025)
Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
by: Adewopo, Victor, et al.
Published: (2024)
by: Adewopo, Victor, et al.
Published: (2024)
Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality
by: Behravan, Majid, et al.
Published: (2025)
by: Behravan, Majid, et al.
Published: (2025)
AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models
by: Rao, Zhifeng, et al.
Published: (2026)
by: Rao, Zhifeng, et al.
Published: (2026)
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation
by: Antony, Jibinraj, et al.
Published: (2021)
by: Antony, Jibinraj, et al.
Published: (2021)
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
by: Giakoumoglou, Nikolaos, et al.
Published: (2024)
by: Giakoumoglou, Nikolaos, et al.
Published: (2024)
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
by: Ling, Lu, et al.
Published: (2023)
by: Ling, Lu, et al.
Published: (2023)
Extended to Reality: Prompt Injection in 3D Environments
by: Li, Zhuoheng, et al.
Published: (2026)
by: Li, Zhuoheng, et al.
Published: (2026)
DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision
by: Stępka, Ignacy, et al.
Published: (2025)
by: Stępka, Ignacy, et al.
Published: (2025)
Vision Augmentation Prediction Autoencoder with Attention Design (VAPAAD)
by: Yin, Yiqiao
Published: (2024)
by: Yin, Yiqiao
Published: (2024)
Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
by: Lee, Dong In, et al.
Published: (2025)
by: Lee, Dong In, et al.
Published: (2025)
Neural Sentinel: Unified Vision Language Model (VLM) for License Plate Recognition with Human-in-the-Loop Continual Learning
by: Sivakoti, Karthik
Published: (2026)
by: Sivakoti, Karthik
Published: (2026)
Generative AI Framework for 3D Object Generation in Augmented Reality
by: Behravan, Majid
Published: (2025)
by: Behravan, Majid
Published: (2025)
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)
by: Pach, Mateusz, et al.
Published: (2025)
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification
by: Alkhunaizi, Naif, et al.
Published: (2024)
by: Alkhunaizi, Naif, et al.
Published: (2024)
Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities
by: Panda, Aaryan, et al.
Published: (2024)
by: Panda, Aaryan, et al.
Published: (2024)
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models
by: Zhou, Shijie, et al.
Published: (2025)
by: Zhou, Shijie, et al.
Published: (2025)
Deep Learning-Assisted Detection of Sarcopenia in Cross-Sectional Computed Tomography Imaging
by: Bhardwaj, Manish, et al.
Published: (2025)
by: Bhardwaj, Manish, et al.
Published: (2025)
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
by: Mohammed, Shawan, et al.
Published: (2024)
by: Mohammed, Shawan, et al.
Published: (2024)
What's in the Image? A Deep-Dive into the Vision of Vision Language Models
by: Kaduri, Omri, et al.
Published: (2024)
by: Kaduri, Omri, et al.
Published: (2024)
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification
by: Lee, Hansang, et al.
Published: (2022)
by: Lee, Hansang, et al.
Published: (2022)
Generative Augmented Reality: Paradigms, Technologies, and Future Applications
by: Liang, Chen, et al.
Published: (2025)
by: Liang, Chen, et al.
Published: (2025)
RAVEN: Multitask Retrieval Augmented Vision-Language Learning
by: Rao, Varun Nagaraj, et al.
Published: (2024)
by: Rao, Varun Nagaraj, et al.
Published: (2024)
Revisiting Data Augmentation in Deep Reinforcement Learning
by: Hu, Jianshu, et al.
Published: (2024)
by: Hu, Jianshu, et al.
Published: (2024)
RE-VLM: Event-Augmented Vision-Language Model for Scene Understanding
by: Liu, Hanqing, et al.
Published: (2026)
by: Liu, Hanqing, et al.
Published: (2026)
Similar Items
-
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
by: Zhang, Jingyu, et al.
Published: (2024) -
Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey
by: Xu, Yiwen, et al.
Published: (2026) -
SEGAR: Selective Enhancement for Generative Augmented Reality
by: Bu, Fanjun, et al.
Published: (2026) -
Dynamic Universal Approximation Theory: The Basic Theory for Deep Learning-Based Computer Vision Models
by: Wang, Wei, et al.
Published: (2024) -
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision
by: S, Gabriel Pérez, et al.
Published: (2024)