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TechcraftingAI Computer Vision
Brad Edwards
315 episodes
4 hours ago
TechcraftingAI Computer Vision brings you summaries of the latest arXiv research daily. Research is read by your virtual host, Sage. The podcast is produced by Brad Edwards, an AI Engineer from Vancouver, BC, and a graduate student of computer science studying AI at the University of York. Thank you to arXiv for use of its open access interoperability.
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All content for TechcraftingAI Computer Vision is the property of Brad Edwards and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
TechcraftingAI Computer Vision brings you summaries of the latest arXiv research daily. Research is read by your virtual host, Sage. The podcast is produced by Brad Edwards, an AI Engineer from Vancouver, BC, and a graduate student of computer science studying AI at the University of York. Thank you to arXiv for use of its open access interoperability.
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Technology
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Ep. 239 - Part 3 - June 5, 2024
TechcraftingAI Computer Vision
35 minutes 44 seconds
1 year ago
Ep. 239 - Part 3 - June 5, 2024

ArXiv Computer Vision research for Wednesday, June 05, 2024.


00:20: Image Copy-Move Forgery Detection and Localization Scheme: How to Avoid Missed Detection and False Alarm

01:52: VWise: A novel benchmark for evaluating scene classification for vehicular applications

03:03: Text-to-Image Rectified Flow as Plug-and-Play Priors

04:25: L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration

06:17: Learning Visual Prompts for Guiding the Attention of Vision Transformers

07:25: Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation

08:51: EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine

10:37: A Flexible Recursive Network for Video Stereo Matching Based on Residual Estimation

12:05: SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution

13:20: SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors

15:01: Gaussian Representation for Deformable Image Registration

16:37: Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach

18:01: UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

19:42: CoFie: Learning Compact Neural Surface Representations with Coordinate Fields

21:04: Post-hoc Part-prototype Networks

22:19: Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

24:26: CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark

25:51: Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input

27:18: FILS: Self-Supervised Video Feature Prediction In Semantic Language Space

28:38: LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection

29:58: Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts

31:36: AD-H: Autonomous Driving with Hierarchical Agents

33:39: Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review

TechcraftingAI Computer Vision
TechcraftingAI Computer Vision brings you summaries of the latest arXiv research daily. Research is read by your virtual host, Sage. The podcast is produced by Brad Edwards, an AI Engineer from Vancouver, BC, and a graduate student of computer science studying AI at the University of York. Thank you to arXiv for use of its open access interoperability.