顶会论文速递!2023.11.7

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2023-11-11 18:32








整理:AI算法与图像处理



CVPR2023论文和代码整理:https://github.com/DWCTOD/CVPR2023-Papers-with-Code-Demo

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CVPR 2023


Updated on : 7 Nov 2023


total number : 1


Non-Hierarchical Transformers for Pedestrian Segmentation



  • 论文/Paper: http://arxiv.org/pdf/2311.02506


  • 代码/Code: None



ICCV 2023


Updated on : 7 Nov 2023


total number : 0


Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning



  • 论文/Paper: http://arxiv.org/pdf/2311.02815


  • 代码/Code: https://github.com/princetonvisualai/hpe-inductive-prior-tuning



Benchmarking a Benchmark: How Reliable is MS-COCO?



  • 论文/Paper: http://arxiv.org/pdf/2311.02709


  • 代码/Code: None



An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance



  • 论文/Paper: http://arxiv.org/pdf/2311.02707


  • 代码/Code: None



Neural Collage Transfer: Artistic Reconstruction via Material Manipulation



  • 论文/Paper: http://arxiv.org/pdf/2311.02202


  • 代码/Code: https://github.com/northadventure/collagerl




WACV 2024


Updated on : 7 Nov 2023


total number : 14


TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains



  • 论文/Paper: http://arxiv.org/pdf/2311.03124


  • 代码/Code: None



GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation



  • 论文/Paper: http://arxiv.org/pdf/2311.03035


  • 代码/Code: https://github.com/ackesnal/gtp-vit



Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study



  • 论文/Paper: http://arxiv.org/pdf/2311.02747


  • 代码/Code: https://github.com/andreluizbvs/insplad



ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification



  • 论文/Paper: http://arxiv.org/pdf/2311.02734


  • 代码/Code: None



A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping



  • 论文/Paper: http://arxiv.org/pdf/2311.02700


  • 代码/Code: https://github.com/hunorlaczko/pyramid-drape



CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning



  • 论文/Paper: http://arxiv.org/pdf/2311.02661


  • 代码/Code: https://github.com/cv-stuttgart



The Background Also Matters: Background-Aware Motion-Guided Objects Discovery



  • 论文/Paper: http://arxiv.org/pdf/2311.02633


  • 代码/Code: None



Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization



  • 论文/Paper: http://arxiv.org/pdf/2311.02599


  • 代码/Code: None



3D-Aware Talking-Head Video Motion Transfer



  • 论文/Paper: http://arxiv.org/pdf/2311.02549


  • 代码/Code: None



Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models



  • 论文/Paper: http://arxiv.org/pdf/2311.02536


  • 代码/Code: https://github.com/amzn/augment-the-pairs-wacv2024



Continual Learning of Unsupervised Monocular Depth from Videos



  • 论文/Paper: http://arxiv.org/pdf/2311.02393


  • 代码/Code: https://github.com/neurai-lab/cude-monodepthcl



Complex Organ Mask Guided Radiology Report Generation



  • 论文/Paper: http://arxiv.org/pdf/2311.02329


  • 代码/Code: None



Lost Your Style? Navigating with Semantic-Level Approach for Text-to-Outfit Retrieval



  • 论文/Paper: http://arxiv.org/pdf/2311.02122


  • 代码/Code: None



FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data



  • 论文/Paper: http://arxiv.org/pdf/2311.03314


  • 代码/Code: https://github.com/lisaweijler/fate



NeurIPS 2023


Updated on : 7 Nov 2023


total number : 7


A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation



  • 论文/Paper: http://arxiv.org/pdf/2311.03312


  • 代码/Code: None



LDM3D-VR: Latent Diffusion Model for 3D VR



  • 论文/Paper: http://arxiv.org/pdf/2311.03226


  • 代码/Code: None



Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones



  • 论文/Paper: http://arxiv.org/pdf/2311.02665


  • 代码/Code: https://github.com/kitamoto-lab/digital-typhoon



Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series



  • 论文/Paper: http://arxiv.org/pdf/2311.02874


  • 代码/Code: https://github.com/kidrauh/neural-atlasing



Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion



  • 论文/Paper: http://arxiv.org/pdf/2311.02738


  • 代码/Code: None



Synthetic Tumor Manipulation: With Radiomics Features



  • 论文/Paper: http://arxiv.org/pdf/2311.02586


  • 代码/Code: None



Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation



  • 论文/Paper: http://arxiv.org/pdf/2311.02266


  • 代码/Code: None













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