Abstract: Referring Image Segmentation (RIS), aims to segment the object referred by a given sentence in an image by understanding both visual and linguistic information. However, existing RIS methods ...

Abstract: The need for quantization of color images arises because of limitations of image display and hardcopy, data storage, and data transmission devices. Many of the current methods for color ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

# e.g., python generate_RD_curves_vgg16.py 3 1 5 -> run GPU3 to do the statistics for the 5th kernal in layer 1. # the path of checkpoint file of pre-trained VGG16 ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...