CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection

Real-time scheduling for multi-object tracking tasks in regions with different criticalities

BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks

ARES: Adaptive robust object detection framework for enhancing real-time performance in autonomous vehicle systems

Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation

STAS: Spatio-Temporal Adaptive Computation Time for Spiking Transformers

Big data and AI: Potential and challenges for digital transformation in toxicology

Developmental toxicity of microplastics in human stem cells using adverse outcome pathway based integrated approaches to testing and assessment approach

AI-based toxicity prediction models using ToxCast data: Current status and future directions for explainable models

AI-driven hazard prioritization of plastic additives using Tox21 bioassays and self-supervised graph transformers