Biomedical Imaging and Diagnostics.-
MDTACNet: MobileNet DenseNet and Transformer Attention Hybrid Network for Multi-Crop and Multi Disease Classification.- Ensuring the Origin of Cytological Whole Slide Images Through Preparation and Scanner Detection.- Unsupervised Mineral Segmentation with Graph Neural Networks and Multi Modal SEM Data.- Predicting Sheep Body Condition Scores via Explainable Deep Learning Model.- What Does Gait Reveal About Health? Investigating Human Motion as an Indicator.- Enhancing Synthetic CT from CBCT via Multimodal Fusion and End To End Registration.- Increasing Resolution of MRI Volumes Through Interleaved Slice Synthesis Based on Generative Adversarial Networks.-
Model Robustness and Generalization.-
Simultaneous Robustness and Generalization Using Nearest Neighbor Classifiers.- Adaptive Model Selection for Expanded Post Hoc Debiasing and Mitigating Varying Degrees of Spurious Correlations.- SelfExplaNETory: Improving Classification Accuracy with Local Post Hoc Interpretation.- SimEx ViT: Explainable Vision Transformer with Similarity-Based Attention Modulation.- Robust Logit to Enhance Stochastic Neural Network Adversarial Robustness.- Effective Relationship Between Characteristics of Training Data and Learning Progress on Knowledge Distillation for Image Recognition.-
Multimodal and Vision-Language Models.-
Automatic Audio Description: A Training Free Approach Using Foundation Models.- AMEST: Adaptive Morphologically Enhanced Subword Tokenization for Improved Language Model Perplexity.- Leveraging Vision-Language Models for Improving Detection of Obstacles on Railway Tracks.- Generalizable Detection of Student Engagement in Online Learning Environments.- LLM generated Semantic Co-occurrences for Multi Label Food Recognition.- Tracing Information Flow in LLaMA Vision: A Step Toward Multimodal Understanding.-
Robotics, Interaction and Intelligent Systems.-
Multimodal Audio Visual Emotion Recognition for Social Robotics.- Enhancing Collaborative Image Classification via Spatio-Temporal Graph Neural Networks: A Proof of Concept Study on Human Group Decisions.- Synthesizing Images with Different Exposure Settings for Low Light Image Enhancement.- DADO: A Depth Attention Framework for Object Discovery.- Ozone Concentration Estimation from Infrared Images Using Extinction Coefficient.- Multi modal Human-Robot Collaboration in Production Lines Through Speech Commands and Gestures.-
Emerging Methods and Vision Applications.-
Emotion Recognition in Contemporary Dance Performances Using Laban Movement Analysis.- Forecasting Sea Surface Temperature from Satellite Images with Graph Neural Networks.- PLRF-NMS: A Piecewise Linear Rational Function in Non-Maximum Suppression.- R3ST: A Synthetic Dataset with Real Trajectories for Urban Traffic Analysis.- Adaptive Meshes in Graph Neural Networks for Predicting Sea Surface Temperature Through Remote Sensing.- Beyond Splines: Legendre and Shmaliy Polynomial-KANs for Robust Image Recognition.