activity
20192026
most citedImproving Visual Question Answering by Referring to Generated Paragraph Captions

6 citations · 17 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CL2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CL2025

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…

cs.CL2022

CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination

Hyounghun Kim, Abhay Zala, Mohit Bansal

As humans, we can modify our assumptions about a scene by imagining alternative objects or concepts in our minds. For example, we can easily anticipate the implications of the sun…

cs.CL2022

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets

Hyounghun Kim, Aishwarya Padmakumar, Di Jin +2

Natural language guided embodied task completion is a challenging problem since it requires understanding natural language instructions, aligning them with egocentric visual observ…

cs.CL2022

CAISE: Conversational Agent for Image Search and Editing

Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon +3

Demand for image editing has been increasing as users' desire for expression is also increasing. However, for most users, image editing tools are not easy to use since the tools re…

cs.CL2021★ 1 cited

FixMyPose: Pose Correctional Captioning and Retrieval

Hyounghun Kim, Abhay Zala, Graham Burri +1

Interest in physical therapy and individual exercises such as yoga/dance has increased alongside the well-being trend. However, such exercises are hard to follow without expert gui…

cs.CL2020★ 3 cited

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments

Hyounghun Kim, Abhay Zala, Graham Burri +2

For embodied agents, navigation is an important ability but not an isolated goal. Agents are also expected to perform specific tasks after reaching the target location, such as pic…

cs.CL2020★ 2 cited

Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA

Hyounghun Kim, Zineng Tang, Mohit Bansal

Videos convey rich information. Dynamic spatio-temporal relationships between people/objects, and diverse multimodal events are present in a video clip. Hence, it is important to d…

cs.CL2020★ 5 cited

Modality-Balanced Models for Visual Dialogue

Hyounghun Kim, Hao Tan, Mohit Bansal

The Visual Dialog task requires a model to exploit both image and conversational context information to generate the next response to the dialogue. However, via manual analysis, we…

cs.CL2019★ 6 cited

Improving Visual Question Answering by Referring to Generated Paragraph Captions

Hyounghun Kim, Mohit Bansal

Paragraph-style image captions describe diverse aspects of an image as opposed to the more common single-sentence captions that only provide an abstract description of the image. T…