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Showing papers from Kyung Hee University Show all papers

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NeurIPS 2026Korea Advanced Institute of ScieKAISTKyung HeeKorea Advanced Institute of ScieMultimodal reasoning

CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models

CollabVR pairs vision-language models with video generation models in closed-loop step-level planning and verification, reducing drift and simulation errors for major video reasoning gains.

Joowon Kim, Seungho Shin, Joonhyung Park, Eunho Yang

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 71 on Hugging Face · Code ★ 10

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NeurIPS 2026KyungheeU Illinois at Urbana-ChampaignKyung HeeVideo understanding

TimeTraveler: Temporal Strategy Planning with Time Dictionary for Streaming Video Understanding

Minkuk Kim, Junho Kim, Seong Tae Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026UNC Chapel HillKyung HeeDepartment of Computer Science, AIM IntelligenceYonseiJailbreaks & red teaming

Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge

Wonjun Lee, Kyungsik Yang, Gaeun Ji, Vaidehi Patil and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Kyung HeeUC San DiegoUCSDVideo understanding

TRACE: Trajectory-Aware Conceps for Explainable Video Understanding

Wooil Lee, Junpyo Hong, Jongseo Lee, Tuomas Oikarinen and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Kyung HeeKyungheePrincetonVideo-language models

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs

Jongseo Lee, Hyuntak Lee, Sunghun Kim, Sooa Kim and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Kyung HeeKyungheeUnified multimodal models

CoDeRNet: Selective Cross-Task Routing under Heterogeneous Supervision for Change Detection and Captioning

Eunki Cho, Hyeon Bae Kim, Seong Tae Kim

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026kyung HeeKyung HeeRL for LLMs

When Alignment Fails: Stabilizing Cross-Dynamics RL with Prototype Trust Regions

Dong Uk Kim, Ji Su Yoon, Eui-Nam Huh, Choong Hong

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Kyung HeeKyungheeU Southern CaliforniaSeoul National Univ. & HanwhVideo-language models

EVIDENT: Routing MLLM Adaptation through Entity-Grounded Visual Evidence for Cross-Domain Video Temporal Grounding

EVIDENT routes video temporal grounding through explicit visual entity evidence to improve cross-domain robustness via parameter-efficient adapters and distillation.

Geo Ahn, Jiwook Han, Youngrae Kim, Joonseok Lee and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
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NeurIPS 2026Kyung HeeKyunghee3D vision & reconstruction

Towards Generalizable 3D Anomaly Detection via Relational Inconsistency Modeling

Relational inconsistency modeling defines defects as violated geometric consistency among neighboring structures, improving 3D anomaly detection across domains.

KunHo Heo, SuYeon Kim, Hayoung Lee, Chanse Oh and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
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NeurIPS 2026Kyung HeeNAVER CloudSegmentation

Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images

ReGFLoW localizes diffusion-edited fake regions with only image-level labels by guiding feature and score spaces with diffusion reconstruction errors via artifact-centric multiple instance learning, outperforming fully supervised cross-dataset and cross-generator baselines without target adaptation.

Junhee Lee, JeonDongHyeon, Taeoh Kim, beomYoung Kim and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5