관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
+32
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection
Y. Lee, H.-J. Kim, S.-W. Lee
KU이성환
DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRF
Ingyun Lee, Jae Won Jang, Seunghyeon Seo, Nojun Kwak
SNU곽노준
Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models
Hyunho Lee*, Kyomin Hwang*, Hyeonjin Kim*, Suyoung Kim, Sunghyun Wee, Nojun Kwak
SNU곽노준
World Action Models Are Zero-Shot Policies
Seonghyeon Ye†, Yunhao Ge, Kaiyuan Zheng, Shenyuan Gao, Sihyun Yu, George Kurian, Suneel Indupuru, You Liang Tan, Chuning Zhu, Jiannan Xiang, Ayaan Malik, Kyungmin Lee, William Liang, Nadun Ranawaka, Jiasheng Gu, Yinzhen Xu, Guanzhi Wang...
KAIST신진우
AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models
Hyeongjun Heo, Seungyeon Woo, Sang Min Kim, Junho Kim, Junho Lee, Yonghyeon Lee, Young Min Kim
Yonsei이용현
Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping
Sang Min Kim, Hyeongjun Heo, Junho Kim, Yonghyeon Lee, Young Min Kim
Yonsei이용현
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Yujin Jo, Taesup Kim
SNU김태섭
Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning
Patara Trirat, Jin Myung Kwak, Jay Heo, Heejun Lee, Sung Ju Hwang
KAIST황성주
Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
Nam Hyeon-Woo, Moon Ye-Bin, Sohwi Lim, Kwon Byung-Ki, Tae-Hyun Oh
KAIST오태현
Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute
Daneul Kim, Jingxu Zhang, Wonjoon Jin, Sunghyun Cho, Qi Dai, Jaesik Park*, and Chong Luo*
SNU박재식
Towards Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups
Hyungtae Lim*, Minkyun Seo*, Luca Carlone, and Jaesik Park
SNU박재식
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
Donggyun Kim, Chanwoo Kim, Seunghoon Hong
KAIST홍승훈
FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model
Yuhwan Jeong, Hyeonseong Kim, Daehyun We, Seonkyu Song, Jinnyeong Yang, Hyun-Kurl Jang, Youngho Yoon, Kuk-Jin Yoon
KAIST윤국진
Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement
Kinam Kim, Namiko Saito, Heecheol Kim, Katsushi Ikeuchi, Jaegul Choo, Yasuyuki Matsushita
KAIST주재걸
Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
J. Kwon, J. Choi, J. Sohn
Yonsei손지용
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
C. Lee, J. Sohn, K. Lee
Yonsei손지용
Blind to Position, Biased in Language: Probing Mid-Layer Representational Bias in Vision-Language Encoders for Zero-Shot Language-Grounded Spatial Understanding
Na Min An, Inha Kang, Minhyun Lee, Hyunjung Shim
KAIST심현정
Training-free LLM Verification via Recycling Few-shot Examples
Dongseok Lee, Jimyung Hong, Dongyoung Kim, Jaehyung Kim
Yonsei김재형
Accurate Zero-shot Quantization via Hierarchical Teacher-Assistant Distillation
Wonjin Cho, Jeongin Yun, U Kang
SNU강유
Acoustic Prompting via Stage-wise Modulation for Few-Shot Learning in Audio Language Models
Hyebin Cho, Jaehyuk Jang, Changick Kim, Joon Son Chung
KAIST정준선
Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models
W. Choi, S. Ryu, J. Lsee, D.-J. Han, and J. Moon
KAIST문재균
FIETA: Few-Shot Inductive Knowledge Graph Completion via Task-Aware Graph Neural Networks
C. Chung, M. Hwang, and J. J. Whang*
KAIST황지영
Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence
Jinseok Chung, Minkyoung Song, Hyunji Jung, Namhoon Lee
POSTECH이남훈
Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs
Sangyeon Yoon, Wonje Jeung, Yoonjun Cho, Dongjae Jeon, Albert No
Yonsei노승문
PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
Junho Park, Dohoon Kim, and Taesup Moon
SNU문태섭
Visual Grounding First, Multimodal In-context Learning Follows
Minhyuk Seo, Minjae Lee, Chaeeun Lee, Wei Lin, Muhammad Jehanzeb Mirza, Tinne Tuytelaars, Jonghyun Choi
SNU최종현
SDP-Codec: A Speaker-Decoupled Speech Codec with Pitch Injection for Low-Bitrate Coding and Zero-Shot Voice Conversion
Hounsu Kim and Juhan Nam
KAIST남주한
Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs
Geon Lee, Kyungho Kim, Dongwon Choi, Juyeon Kim, Shinhwan Kang, Kijung Shin
KAIST신기정
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks
B.-C. Park, M.-S. Koh, H.-J. Kong, S.-W. Lee
KU이성환
DCR-TSF: Dual-Level Compositional Reasoning with Triadic Spherical Fusion for Training-Free Zero-Shot Composed Image Retrieval
G.-H. Na, H.-J. Kim, S.-W. Lee
KU이성환