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ORCID35th BMVC 2024: Glasgow, UK - Workshops
- 35th British Machine Vision Conference Workshop Proceedings, BMVC 2024 Workshops, Glasgow, UK, November 25-28, 2024. BMVA Press 2024
ANIMA
- Juni Katsu, Esha Daspupta, Hyung Jin Chang:
GRF-MV: Ground Reaction Force Estimation from Monocular Video. - Beatrice Lagomarsino, Giorgia Marchesi, Valeria Falzarano, Tommaso Falchi Delitala, Francesca Odone, Maura Casadio, Matteo Moro:
Insights on the Role of Depth Information for Human Motion Evaluation Using a Single RGB-D Camera. - Greta Di Marino, Lucia Migliorelli, Sara Moccia, Matteo Lorenzo Bramucci, Jacopo Carpaneto, Alessandro Cacciatore, Daniele Berardini:
A Monitoring Support System Based on HRNet+DEKR for Neonatal Intensive Care Units.
DIFA
- Abhiroop Chatterjee, Susmita Ghosh, Ashish Ghosh:
GlowNet: A Lightweight Attention based Self-Guided Deep Neural Network for Low-Light Image Enhancement. - Subhrasankar Chatterjee, Debasis Samanta, Monalisa Sarma:
Y-Net: Fusing fMRI and Natural Scenes to Generate Neuro-Interpretable Heat Maps. - Ao Chen, Mengyuan Liu, Runyu Yao, Minhao Wu, Pengfei Fan:
FourierDiff: Image Denoising Using Improved Denoising Diffusion Probabilistic Models via Fast Fourier Convolution. - Ruiqiang Xiao, Xiaohu Chen:
IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based Loss.
MAAAI
- Danielle Sullivan-Pao, Nicole Tian, Pooya Khorrami:
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution. - Ziyong Wang, Charith Abhayaratne:
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features. - Lamyaa Aljuaid, Deepayan Bhowmik:
FUSION++: A Method to Detect Generative AI Manipulated Images.
MVEO
- Théo Larcher, Lukás Picek, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Alexis Joly:
MALPOLON: A Framework for Deep Species Distribution Modeling. - Remy Vandaele, Sarah L. Dance, Hywel T. P. Williams, Varun Ojha:
Automated trash screen blockage segmentation using deep learning. - Jose Sosa, Mohamed Aloulou, Danila Rukhovich, Rim Sleimi, Boonyarit Changaival, Anis Kacem, Djamila Aouada:
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks? - Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol:
Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer.
PFATCV
- Andreas Leibl, Helmut Mayer:
StablePrivacy: Diffusion-Based Privacy Enhancement for Face Image Datasets. - Tahani Aladwani, Christos Anagnostopoulos:
Semi-Supervised Federated Learning over Relevant Heterogeneous Data. - Diego A. B. Moreira, Alef Iury Siqueira Ferreira, Jhessica Silva, Gabriel Oliveira dos Santos, Luiz Pereira, João Medrado Gondim, Gustavo Bonil, Helena Almeida Maia, Nádia Félix F. da Silva, Simone Tiemi Hashiguti, Jefersson A. dos Santos, Hélio Pedrini, Sandra Avila:
FairPIVARA: Reducing and Assessing Biases in CLIP-Based Multimodal Models. - Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi, Asim Ukaye, Karthik Nandakumar:
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. - Mohammad Malekzadeh, Deniz Gündüz:
Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing. - Pai Chet Ng, Kostas N. Plataniotis:
Can Pretrained Face Verification Models Distinguish True Identity from Deepfakes? - Hakan Lane, Michal Valko, Stefan Kramer:
CardioCNN: Gamification of counterfactual image transplants.
RROW
- Svenja Uhlemeyer, Julian Lienen, Youssef Shoeb, Eyke Hüllermeier, Hanno Gottschalk:
Unsupervised Class Incremental Learning using Empty Classes. - Sebastian Doerrich, Francesco Di Salvo, Christian Ledig:
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations. - Daniel Bogdoll, Noël Ollick, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner:
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. - Daniel Bogdoll, Jan Imhof, Tim Joseph, Svetlana Pavlitska, J. Marius Zöllner:
Hybrid Video Anomaly Detection for Autonomous Driving. - Edgar Heinert, Stephan Tilgner, Timo Palm, Matthias Rottmann:
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Network. - Manuel Schwonberg, Claus Werner, Hanno Gottschalk, Carsten Meyer:
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models. - Samed Yalçin, Hazim Kemal Ekenel:
Impact of Surface Reflections in Maritime Obstacle Detection. - Hakan Lane, Michal Valko, Veda Sahaja Bandi, Nandini Lokesh Reddy, Stefan Kramer:
Patchhealer: Counterfactual Image Segment Transplants with chest X-ray domain check.
SRBS
- Aravinda Reddy P. N., Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra:
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection. - Aravinda Reddy P. N., Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra:
MorCode: Face Morphing Attack Generation using Generative Codebooks. - Giulia Orrù, Riccardo Lecca, Riccardo Puddu, Simone Maurizio La Cava, Marco Micheletto, Gian Luca Marcialis:
Data generation via diffusion models for crowd anomaly detection. - Juan E. Tapia, Mathias Ibsen, Christoph Busch:
Beauty Score Fusion for Morphing Attack Detection. - Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Maregu Assefa, Sajid Javed, Naoufel Werghi:
SCAM: Systematic Classification and Analysis of Misinformation.
VUA
- Keyne Oei, Amr Gomaa, Anna Maria Feit, João Belo:
Self-Supervised Contrastive Learning for Videos using Differentiable Local Alignment.
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