and fairness in machine learning.Part II - computer vision: classification; and computer vision: 3D methods.Part III - computer vision: anomaly detection; and topics in computer vision.Part IV - brain-inspired computing;

.- Computer Vision: Classification. .- A WEAKLY SUPERVISED PART DETECTION METHOD FOR ROBUST FINE-GRAINED CLASSIFICATION. .- An Energy Sampling Replay-Based Continual Learning Framework. .- Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification. .-Multi-scale convolutional attention fuzzy broad network for few-shot hyperspectral image classification. .- Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification. .- Computer Vision: Object Detection. .- CIA-Net:Cross-modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection. .- CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection. .- DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion. .- EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection. .- Global-Guided Weighted Enhancement for Salient Object Detection. .- KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. .- MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. .- One-Shot Object Detection with 4D-Correlation and 4D-Attention. .- Small Object Detection Based on Bidirectional Feature Fusion and Multi-scale Distillation. .-SRA-YOLO: Spatial Resolution Adaptive YOLO for Semi-Supervised Cross-Domain Aerial Object Detection. .- Computer Vision: Security and Adversarial Attacks. .- BiFAT: Bilateral Filtering and Attention Mechanisms in a Two-Stream Model for Deepfake Detection. .- EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. .- Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-level Forgery Enhancement. .- Generative Universal Nullifying Perturbation for Countering Deepfakes through Combined Unsupervised Feature Aggregation. .- Noise-NeRF: Hide Information in Neural Radiance Field using Trainable Noise. .- Unconventional Face Adversarial Attack. Computer Vision: Image EnhancementComputer Vision: Image Enhancement. .- Computer Vision: Image Enhancement. .- A Study in Dataset Pruning for Image Super-Resolution. .- EDAFormer:Enhancing Low-Light Images with a Dual-Attention Transformer. .- Image Matting Based on Deep Equilibrium Models. .- Computer Vision: 3D Methods. .- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. .- Interactive Color Manipulation in NeRF: A Point Cloud and Palette-driven Approach. .- Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion using Transformer. .- SAM-NeRF: NeRF-based 3D Instance Segmentation with Segment Anything Model. .- Towards High-Accuracy Point Cloud Registration with Channel Self-Attention and Angle Invariance.