Oral Presentations

PARASOL: Parametric Style Control for Diffusion Image Synthesis

Extending global-local view alignment for self-supervised learning with remote sensing imagery

RetinaLiteNet: A Lightweight Transformer based CNN for Retinal Feature Segmentation

ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection

GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture Recognition

Unsupervised Domain Adaptation for Weed Segmentation Using Greedy Pseudo-labelling

Extended Abstracts

Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling

3D Change Detection by 2D Segmentation Masks

COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics

Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation

Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion-Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion

Motion Diversification Networks

Optimizing Split Points for Error-Resilient SplitFed Learning

Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability

Tell me how far: Leveraging Depth in Pre-training for Semantic Segmentation

Test-Time Zero-Shot Temporal Action Localization

ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos

Gaze-LLE: Simplifying Gaze Target Estimation by Leveraging an Already-Learned Encoder

ProTeCt: Prompt Tuning for Taxonomic Open Set Classification

Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer

Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging

Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction

SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network

MVPSNet: Fast Generalizable Multi-view Photometric Stereo

Learning the 3D Fauna of the Web

InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion

LEAD: Latent Realignment for Human Motion Diffusion

A Unified Hierarchical Feature Learning and Cross-Modal Alignment for Audio-Visual Scene Recognition

Skin malignancy classification using patients’ skin images and meta-data: Multimodal fusion for improving fairness

Color-cued Efficient Densification Method for 3D Gaussian Splatting

Harnessing Self-Supervised Learning and Vision Transformers for Attention Based Multi-modal Survival Analysis

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Learning Multi-Frame Image Restoration from Synthetic Data

Multimodal Learning for Detecting Stress under Missing Modalities

ViD: Vision in Dark

Audio-visual integration in neural network and human brain

IrrNet: Spatio-Temporal Segmentation guided Classification for Irrigation Mapping

Mocap Everyone Everywhere: Lightweight Motion Capture with Smartwatches and a Head-Mounted Camera

HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios

Analysis of Learned Features and Framework for Potato Disease Detection

What Appears Appealing May Not be Significant! - A Clinical Perspective of Diffusion Models

A Cross-Dataset Study for Text-based 3D Human Motion Retrieval

Towards a Perceptual Evaluation Framework for Lighting Estimation

Tyche: Stochastic In-Context Learning for Medical Image Segmentation

A Multi-Spectral Camera Network for Real-Time Bleeding Detection

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Temporal Coarse to Fine to Finer Difference Spotting for Action Recognition

Action-conditioned video data improves predictability

Hybrid Multiplicative and Fourier Disparity Layers based Light Field Coding for Autostereoscopic Displays