BMVC conference papers, supplementary material and video presentations can be found at: BMVC Papers
BMVC workshop papers can be found at: BMVC Workshop Papers
Keynote - Mubarak Shah
09:00 - 10:00
09:00 - 10:00 | Title: Privacy Preservation and Bias Mitigation in Human Action Recognition
Abstract: Advances in action recognition have enabled a wide range of real-world applications, e.g. elderly person monitoring systems, autonomous vehicles, sports analysis. As these techniques are being used in the real world two important issues have emerged: privacy and bias. Most of these video understanding applications involve extensive computation, for which a user needs to share the video data to the cloud computation server, where the user also ends up sharing the private visual information like gender, skin color, clothing, background objects etc. Therefore, there is a pressing need for solutions to privacy preserving action recognition. Beyond privacy protection, bias in video understanding can lead to unfair and incorrect decision making. Action recognition models may predict specific actions based on gender stereotypes, such as associating a perceived female subject with hands near her face as applying makeup or brushing hair, even with nothing in hand, or they may suffer from background bias (i.e., inferring actions based on background cues) and foreground bias (i.e., relying on subject appearance). In this talk, I will present our recent work on Privacy Preservation and Bias Mitigation in human action recognition.
Room: M1
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Keynote Session - Salauddin Sohag
14:00 - 14:30
14:00 - 14:30 | Title: Technovative Solutions
Abstract: In this keynote, Sohag will chart the company's journey, recounting major innovations, achievements, and the challenges it has navigated to reach its current position. Sohag will also connect Technovative Solutions' advancements to emerging industry trends, illustrating how the company is strategically positioned to address current and future market demands through cutting-edge solutions and agile methodologies.
Room: M1
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Poster Sessions
10:00 - 11:45 / 15:45 - 17:30
10:00 - 11:45 |
Papers Presented
Room: Hall 2
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15:45 - 17:30 |
Papers Presented
Room: Hall 2
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Oral Session - Real World Applications
11:45 - 13:00
Chair: Carlos Moreno-Garcia | 11:45 | 584 |
ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search
Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima
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12:00 | 670 |
Leveraging Inductive Bias in ViT for Medical Image Diagnosis
Jungmin Ha, Euihyun-yoon, Sungsik Kim, Jinkyu Kim, Jaekoo Lee
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12:15 | 863 |
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
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12:30 | 1020 |
Recovering SLAM Tracking Lost by Trifocal Pose Estimation using GPU-HC++
Chiang-Heng Chien, Ahmad Abdelfattah, Benjamin Kimia
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12:45 | 967 |
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation
Jianyu Zhao, Wei Quan, Bogdan Matuszewski
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Room: M1
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Industrial Session (Sponsored by Technovative Solutions)
14:30 - 15:45
Chair: Chaitanya Kaul | 14:30 | 486 |
DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference
Ahmet Serdar Karadeniz, Dimitrios Stefanos Mallis, Nesryne Mejri, Kseniya Cherenkova, Anis Kacem, Djamila Aouada
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14:45 | 787 |
MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
Sina Ghorbani Kolahi, Seyed Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, Ilker Hacihaliloglu, Dorit Merhof
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15:00 | 188 |
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
Peichao Li, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren
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15:15 | 113 |
Text Removal In E-Commerce Images: A Comparison Of Inpainting Methods
Hiya Roy, Bjorn Stenger
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15:30 | 328 |
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning
Dino Ienco, Cassio Fraga Dantas
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Room: M1
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