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BMVC 2024

A

British Machine Vision Conference

Official site ↗
298
accepted papers
292
authors
November 25-28, 2024
dates
UK
location

298 / 298 papers

  1. 1
    3D Blur Kernel on Gaussian Splatting
    Yongchao Lin
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  2. 2
    3D Point Cloud Network Pruning: When Some Weights Do not Matter
    Amrijit Biswas
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  3. 3
    A Deep Belief Network Approach to Scalable Compression of Light Field Data for Auto-Stereoscopic Displays
    Sally Khaidem
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  4. 4
    A Learnable Color Correction Matrix for RAW Reconstruction
    Anqi Liu
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  5. 5
    A Monitoring Support System Based on HRNet+DEKR for Neonatal Intensive Care Units
    Greta Di Marino
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  6. 6
    A Multimodal Network on Handwritten Chinese Character Error Correction
    Haizhao Sun
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  7. 7
    A Novel Divide and Merge Approach for Improved Classification of Functional Data
    Wei Zhao
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  8. 8
    A Prototype Unit for Image De-raining using Time-Lapse Data
    Jaehoon Cho
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  9. 9
    A Revisit to the Decoder for Camouflaged Object Detection
    Seung Woo Ko
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  10. 10
    A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
    Peichao Li
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  11. 11
    A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction
    Dragos Costea
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  12. 12
    A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models
    Manuel Schwonberg
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  13. 13
    A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
    Shizhan Gong
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  14. 14
    ACIL: Active Class Incremental Learning for Image Classification
    Aditya R. Bhattacharya
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  15. 15
    Acoustic-based 3D Human Pose Estimation Robust to Human Position
    Yusuke Oumi
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  16. 16
    Adapting MIMO video restoration networks to low latency constraints
    Valéry Dewil
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  17. 17
    Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning
    Abdullah Alchihabi
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  18. 18
    Advancing Anomaly Detection: The IDW dataset and MC algorithm
    Alexander D. J. Taylor
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  19. 19
    Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
    Sungmin Kang
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  20. 20
    AggSS: An Aggregated Self-Supervised Approach for Class Incremental Learning
    Jayateja Kalla
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  21. 21
    AISE: Adaptive Input Sampling for Explanation of Black-box Models
    Evgeny Tsykunov
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  22. 22
    Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss
    Zhi Cai
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  23. 23
    Alignment-aware Patch-level Routing for Dynamic Video Frame Interpolation
    Ban Chen
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  24. 24
    Anchor-Based Masked Generative Distillation for Pixel-Level Prediction Tasks
    Xie Yu
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  25. 25
    Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation
    Qing En
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  26. 26
    Anomaly Detection Based on Semi-Formula Driven Pre-training Dataset to Represent Subtle Difference and Anomaly Score
    Hiroki Kobayashi
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  27. 27
    APTPose: Anatomy-aware Pre-Training for 3D Human Pose Estimation
    Qing-Wen Yang
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  28. 28
    AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
    Damian Sójka
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  29. 29
    Are Sparse Neural Networks Better Hard Sample Learners?
    Qiao Xiao
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  30. 30
    As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP
    Anjun Hu
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  31. 31
    ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search
    Inderjeet Singh
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  32. 32
    AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field
    Rong Liu
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  33. 33
    AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
    Krzysztof Baron-Lis
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  34. 34
    AUPIMO: Redefining Anomaly Localization Benchmarks with High Speed and Low Tolerance
    João P. C. Bertoldo
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  35. 35
    AutoDOM: Automated Dimension Overlay for Enhanced Measurement-Guidance
    Pushpendu Ghosh
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  36. 36
    Automated trash screen blockage segmentation using deep learning
    Remy Vandaele
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  37. 37
    Backdoor Defense through Self-Supervised and Generative Learning
    Ivan Sabolic
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  38. 38
    Balancing Calibration and Performance: Stochastic Depth in Segmentation BNNs
    Linghong Yao
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  39. 39
    BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
    Kieran Saunders
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  40. 40
    Beauty Score Fusion for Morphing Attack Detection
    Juan E. Tapia
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  41. 41
    Benchmarking and Optimizing Federated Learning with Hardware-related Metrics
    Kai Pan
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  42. 42
    Beyond Face Matching: A Facial Traits based Privacy Score for Synthetic Face Datasets
    Robero Leyva
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  43. 43
    Beyond Static and Dynamic Quantization - Hybrid Quantization of Vision Transformers
    Piotr Kluska
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  44. 44
    Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models
    Bin Fu
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  45. 45
    Boundary Contrastive Learning for Label-Efficient Medical Image Segmentation
    Satoshi Kamiya
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  46. 46
    Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
    Hoàng-Ân Lê
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  47. 47
    Budget-aware Dynamic Spatially Adaptive Inference
    Georgios Zampokas
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  48. 48
    Calibration of 2D LiDAR sensors using cylindrical target
    Tamás Tófalvi
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  49. 49
    Can Pretrained Face Verification Models Distinguish True Identity from Deepfakes?
    Pai Chet Ng
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  50. 50
    CardioCNN: Gamification of counterfactual image transplants
    Hakan Lane
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