6 citations · 17 across the 13 of their papers we have counts for
14 papers
Controllable Image Captioning with Prompt-Conditioned Scene Rewards
Jongyeop Hyun, Taeyoung Kim, Hyounghun Kim
Large Vision-Language Models produce fluent image descriptions but offer limited semantic control: users cannot reliably specify whether captions should emphasize attributes, relat…
SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness
Jongyeop Hyun, Hyounghun Kim
Deploying AI-generated video detectors in real-world services demands an ultra-low false positive rate (FPR) on real videos to avoid falsely rejecting authentic content, a regime w…
Learning When to Translate for Multilingual Reasoning
Deokhyung Kang, Hyounghun Kim, Gary Geunbae Lee
Reasoning language models (RLMs) achieve strong performance on complex reasoning tasks, but still exhibit substantial multilingual reasoning gaps, largely due to language-understan…
SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory
Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx +4
AI glasses present a compelling platform for AI agents to serve as personalized memory assistants. To be genuinely useful, such systems must move beyond short-term video comprehens…
AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
Jihyoung Jang, Hyounghun Kim
Visual Question Answering (VQA) is a core task for evaluating the capabilities of Vision-Language Models (VLMs). Existing VQA benchmarks primarily feature clear and unambiguous ima…
Do Vision-Language Models Understand Visual Persuasiveness? A Diagnosis via Visual Persuasive Factors
Gyuwon Park, Hyounghun Kim
Visual persuasion uses images to shape cognition, emotion, and behavior, with its effects depending on both visual attributes and semantic context. Despite recent progress, it rema…