1.7k citations · 2k across the 66 of their papers we have counts for
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EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation
Tatiana Gaintseva, Akshit Achara, Gregory Slabaugh +2
Text-to-image diffusion models power everyday creative tasks, but they still reproduce the demographic biases in their training data. On common prompts such as ``a photo of a nurse…
HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning
Awais Rauf, Ahmed Hasssan, Greg Slabaugh
Understanding long videos requires fine-grained perception and multi-step, higher-order reasoning over complex, long-range spatio-temporal dynamics. Vision-language models (VLMs) e…
Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars
Jiahao Yang, Xiaohang Yang, Qing Wang +3
Modeling dynamic facial expressions using 3D Gaussian representations remains challenging due to their unstructured nature. Conventional Gaussian avatar pipelines require extensive…
ProtoPathway: Biologically Structured Prototype-Pathway Fusion for Multimodal Cancer Survival Prediction
Amaya Gallagher-Syed, Costantino Pitzalis, Myles J. Lewis +2
We introduce ProtoPathway, an interpretable-by-design multimodal framework for cancer survival prediction that unifies whole slide imaging and transcriptomics through encoders prod…
AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection
Damith Chamalke Senadeera, Dimitrios Kollias, Gregory Slabaugh
Automatic violence detection from video is challenging because violent interactions may be distant, occluded, or only partially visible. Audio can provide complementary evidence fo…
OpenUS: A Fully Open-Source Foundation Model for Ultrasound Image Analysis via Self-Adaptive Masked Contrastive Learning
Xiaoyu Zheng, Xu Chen, Awais Rauf +6
Ultrasound (US) is one of the most widely used medical imaging modalities, thanks to its low cost, portability, real-time feedback, and absence of ionizing radiation. However, US i…
Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge
Yuan Jin, Antonio Pepe, Gian Marco Melito +36
The automated analysis of the aortic vessel tree (AVT) from computed tomography angiography (CTA) holds immense clinical potential, but its development has been impeded by a lack o…
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +3
Dynamic Novel View Synthesis aims to generate photorealistic views of moving subjects from arbitrary viewpoints. This task is particularly challenging when relying on monocular vid…
DanceChat: Large Language Model-Guided Music-to-Dance Generation
Qing Wang, Xiaohang Yang, Yilan Dong +3
Music-to-dance generation aims to synthesize human dance motion conditioned on musical input. Despite recent progress, significant challenges remain due to the semantic gap between…
FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
Damith Chamalke Senadeera, Muhammad Awais, Shibo Li +2
The rapid proliferation of surveillance cameras has increased the demand for automated violence detection. While CNNs and Transformers have shown success in extracting spatio-tempo…
DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios
Dimitrios Kollias, Damith C. Senadeera, Jianian Zheng +4
Violence Detection (VD) has become an increasingly vital area of research. Existing automated VD efforts are hindered by the limited availability of diverse, well-annotated databas…
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
Amaya Gallagher-Syed, Henry Senior, Omnia Alwazzan +7
The development of biologically interpretable and explainable models remains a key challenge in computational pathology, particularly for multistain immunohistochemistry (IHC) anal…
STaR: Seamless Spatial-Temporal Aware Motion Retargeting with Penetration and Consistency Constraints
Xiaohang Yang, Qing Wang, Jiahao Yang +2
Motion retargeting seeks to faithfully replicate the spatio-temporal motion characteristics of a source character onto a target character with a different body shape. Apart from mo…
SuperCap: Multi-resolution Superpixel-based Image Captioning
Henry Senior, Luca Rossi, Gregory Slabaugh +1
It has been a longstanding goal within image captioning to move beyond a dependence on object detection. We investigate using superpixels coupled with Vision Language Models (VLMs)…
XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification
Xiaoyu Zheng, Xu Chen, Shaogang Gong +2
Compared to single view medical image classification, using multiple views can significantly enhance predictive accuracy as it can account for the complementarity of each view whil…
HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage
Qifan Fu, Xu Chen, Muhammad Asad +3
Although diffusion methods excel in text-to-image generation, generating accurate hand gestures remains a major challenge, resulting in severe artifacts, such as incorrect number o…
HandSCS: Structural Coordinate Space for Animatable Hand Gaussian Splatting
Yilan Dong, Wenqing Wang, Qing Wang +5
Photorealistic and animatable hand avatars are essential for applications such as AR/VR, gaming, and telepresence. Recent 3D Gaussian Splatting (3DGS) based avatar methods enable r…
Multimodal Outer Arithmetic Block Dual Fusion of Whole Slide Images and Omics Data for Precision Oncology
Omnia Alwazzan, Amaya Gallagher-Syed, Thomas O. Millner +4
The integration of DNA methylation data with a Whole Slide Image (WSI) offers significant potential for enhancing the diagnostic precision of central nervous system (CNS) tumor cla…
Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?
Amaya Gallagher-Syed, Elena Pontarini, Myles J. Lewis +2
This study evaluates the generalisation capabilities of state-of-the-art histopathology foundation models on out-of-distribution multi-stain autoimmune Immunohistochemistry dataset…
A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction
Chia-Yen Chiang, Yasmin Fathy, Gregory Slabaugh +1
Walking as a form of active travel is essential in promoting sustainable transport. It is thus crucial to accurately predict pedestrian crossing intention and avoid collisions, esp…
Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss
Qifan Fu, Xiaohang Yang, Muhammad Asad +3
Diffusion models have shown their remarkable ability to synthesize images, including the generation of humans in specific poses. However, current models face challenges in adequate…
Improving Interpretability and Robustness for the Detection of AI-Generated Images
Tatiana Gaintseva, Laida Kushnareva, German Magai +5
With growing abilities of generative models, artificial content detection becomes an increasingly important and difficult task. However, all popular approaches to this problem suff…
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation
Abbas Khan, Muhammad Asad, Martin Benning +2
Convolutional Neural Networks (CNNs) and Transformer-based self-attention models have become the standard for medical image segmentation. This paper demonstrates that convolution a…
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
Damith Chamalke Senadeera, Xiaoyun Yang, Dimitrios Kollias +1
In this paper we introduce CUE-Net, a novel architecture designed for automated violence detection in video surveillance. As surveillance systems become more prevalent due to techn…