IEEE

Visual-Language Scene-Relation-Aware Zero-Shot Captioner

Abstract: Zero-shot image captioning can harness the knowledge of pre-trained visual language models (VLMs) and language models (LMs) to generate captions for target domain images without paired ...
GitHub

[NeurIPS 2025] ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models

ChartMuseum is a chart question answering benchmark designed to evaluate reasoning capabilities of large vision-language models (LVLMs) over real-world chart images. The benchmark consists of 1162 ...
GitHub

HyperSeg: Towards Universal Visual Segmentation with Large Language Model

This paper aims to address universal segmentation for image and video perception with the strong reasoning ability empowered by Visual Large Language Models (VLLMs). Despite significant progress in ...
IEEE

Learning Visual Grounding from Generative Vision and Language Model

Abstract: Visual grounding tasks aim to localize image regions based on natural language references. In this work, we ex-plore whether generative VLMs predominantly trained on image-text data could be ...
Visual Studio Magazine

C# Grabs Language of the Year, TIOBE Predicts TypeScript Rise

C# was named TIOBE's Programming Language of the Year after recording the largest year-over-year gain in the index. Python continues to rank first in the TIOBE index, while C, Java, and C++ saw ...