3 papers
cs.CV2026
Joint Post-Training Quantization of Vision Transformers with Learned Prompt-Guided Data Generation
Shile Li, Markus Karmann, Onay Urfalioglu
We present a framework for end-to-end joint quantization of Vision Transformers trained on ImageNet for the purpose of image classification. Unlike prior post-training or block-wis…
cs.CV2023
Implicit Learning of Scene Geometry from Poses for Global Localization
Mohammad Altillawi, Shile Li, Sai Manoj Prakhya +2
Global visual localization estimates the absolute pose of a camera using a single image, in a previously mapped area. Obtaining the pose from a single image enables many robotics a…
cs.CV2023
Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras
Mohammad Altillawi, Zador Pataki, Shile Li +1
Re-localizing a camera from a single image in a previously mapped area is vital for many computer vision applications in robotics and augmented/virtual reality. In this work, we ad…