Good Papers

Showing papers from Chung-Ang University Show all papers

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NeurIPS 2026OralChung-AngPOSTECHKonkuk3D vision & reconstruction

Beyond Family Labels: A Taxonomic Ornstein-Uhlenbeck Prior for Avian 3D Shape Recovery

Yunchan Jeon, SOO GON KIM, Seungwook Kim, CheolWon Lee and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Chung-AngKnowledge editing

ReCoG: Relational Concept Graph for Training-Free Personalization

Changseon Yu, Hyeokjun Kweon

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

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57%Worth a look
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NeurIPS 2026U QueenslandPohang University of Science andThe University of QueenslandChung-AngMultimodal reasoning

SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark

Taeyoung Yu, Seonbin Jo, Jiwon Kim, Junyoung Byun

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026ChungAngU BirminghamChung-AngSparse autoencoders

What Do SAE Features Encode? Evidence from Human Neural Activity

Yujin Kang, Hyojin Park, Yoon-Sik Cho

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026SoongsilChung-AngAIM IntelligenceChung-Ang Univ., KoreaPrivacy

MUTE: Multi-Level Alignment Uncoupling Against Talking-Head Exploitation for Voice Protection

Donghyun Kim, Jin Hong, seungmin Kim, Dain Kim and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026POSTECHChung-AngDiffusion models

ProxySearch: Decoupled Inference-Time Scaling for Diffusion Models via Asymmetric Noise-Rank Transfer

Seungwook Kim, Jongmin Lee

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Chung-AngPrivacy

Improved Robust Verifiable Federated Learning Based on Packed Secret Sharing

Jinhyuk Choi, Hyung Tae Lee

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Chung-AngVideo understanding

TF-PRVR: Training-Free Partially Relevant Video Retrieval for Real-World Generalization

Giyeol Kim, Chanho Eom

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026LG AI ResearchHankuk University of Foreign StuChung-AngQuantization

ASQ: Agent-guided Semantic-aware Quantization for Large Language Models

Seungdong Yoa, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Chung-AngColumbiaColumbiaSeoul NationalExploration

Variance-Adaptive Optimal Algorithm for Reinforcement Learning with MNL Function Approximation

Wonyoung Kim, Garud Iyengar, Assaf Zeevi, Min-hwan Oh

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
72%Highly rated
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NeurIPS 2026Korea Advanced Institute of ScieAdobe ResearchChung-AngKorea Advanced Institute of ScieVideo generation

MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer

MotionGrounder enables multi-object motion transfer via a diffusion transformer with flow-based motion signals, object-caption alignment loss, and a new object grounding score. It outperforms baselines in multi-object controllable video generation.

Samuel Teodoro, Yun Chen, Agus Gunawan, Soo Ye Kim and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
74%Highly rated
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NeurIPS 2026Chung-AngSegmentation

COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition

COCOTree introduces open tree-structured visual decomposition via automated LVLM-SAM annotation, a 21K-image benchmark, and the OTQ metric.

Junhyub Lee, Seunghun Chae, Hyosu Kim

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
78%Highly rated
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NeurIPS 2026Chung-Ang3D generation

Seeing Speech: Learning Visible Articulatory Dynamics for Speech-Driven 3D Facial Animation

The framework models visible speech via directional articulatory motions composed into 3D facial animation, improving lip articulation and realism over prior methods.

Hyung Kyu Kim, Byungchan Hwang, HAKGU KIM

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
88%Must read
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NeurIPS 2026Chung-AngU BirminghamChung-Ang Univ., KoreaSpeech synthesis

SENSE: Semantic Neural Speech Synthesis from Brain Dynamics via Spatial Graph Encoding

SENSE uses graph-based EEG encoding and semantic conditioning to synthesize speech from brain dynamics, outperforming baselines on acoustic and semantic metrics with minimal training subjects.

Jisoo Park, Seonghak Lee, Hyojin Park, Junseok Kwon

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5