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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. 244 - Part 1 - June 10, 2024
TechcraftingAI Computer Vision
42 minutes 34 seconds
1 year ago
Ep. 244 - Part 1 - June 10, 2024

ArXiv Computer Vision research for Monday, June 10, 2024.


00:20: ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery

01:59: Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

03:44: Vript: A Video Is Worth Thousands of Words

05:38: FRAG: Frequency Adapting Group for Diffusion Video Editing

06:50: Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training

08:38: Robust Latent Representation Tuning for Image-text Classification

09:46: Generalizable Human Gaussians from Single-View Image

11:05: ProcessPainter: Learn Painting Process from Sequence Data

12:29: PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis

13:41: Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control

15:00: Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks

16:14: GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

17:54: Texture Re-scalable Universal Adversarial Perturbation

19:44: W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks

20:46: ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion Models

22:04: DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection

23:13: A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis

25:15: Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation

26:36: Generalized Nested Latent Variable Models for Lossy Coding applied to Wind Turbine Scenarios

27:48: Black carbon plumes from gas flaring in North Africa identified from multi-spectral imagery with deep learning

28:58: An Effective-Efficient Approach for Dense Multi-Label Action Detection

30:42: 2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval

31:49: iMotion-LLM: Motion Prediction Instruction Tuning

33:05: Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

34:57: Data Augmentation in Earth Observation: A Diffusion Model Approach

36:22: UEMM-Air: A Synthetic Multi-modal Dataset for Unmanned Aerial Vehicle Object Detection

37:49: UnSupDLA: Towards Unsupervised Document Layout Analysis

39:11: I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data

40:46: Tuning-Free Visual Customization via View Iterative Self-Attention Control

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.