:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jung, Geunyoung, Kim, Soohong, Song, Kyungwoo, Jung, Jiyoung
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.15703
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
by: Jung, Geunyoung, et al.
Published: (2026)

Enhancing Visual Classification using Comparative Descriptors
by: Lee, Hankyeol, et al.
Published: (2024)

Robust Adaptation of Foundation Models with Black-Box Visual Prompting
by: Oh, Changdae, et al.
Published: (2024)

Generating Accurate and Detailed Captions for High-Resolution Images
by: Lee, Hankyeol, et al.
Published: (2025)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models
by: Oh, Changdae, et al.
Published: (2023)

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
by: Park, Keon-Hee, et al.
Published: (2024)

MonoSAOD: Monocular 3D Object Detection with Sparsely Annotated Label
by: Jung, Junyoung, et al.
Published: (2026)

Adaptive Point-Prompt Tuning: Fine-Tuning Heterogeneous Foundation Models for 3D Point Cloud Analysis
by: Li, Mengke, et al.
Published: (2025)

3D Aware Region Prompted Vision Language Model
by: Cheng, An-Chieh, et al.
Published: (2025)

Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models
by: Chen, Wenyue, et al.
Published: (2026)

Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
by: Yashwanth, M, et al.
Published: (2025)

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
by: Seo, Junyoung, et al.
Published: (2023)

Generalizable Prompt Tuning for Vision-Language Models
by: Zhang, Qian
Published: (2024)

A Closer Look at Conditional Prompt Tuning for Vision-Language Models
by: Zhang, Ji, et al.
Published: (2025)

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
by: Ai, Zixiang, et al.
Published: (2025)

A Text-Guided Vision Model for Enhanced Recognition of Small Instances
by: Jung, Hyun-Ki
Published: (2026)

3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation
by: Lee, JoungBin, et al.
Published: (2025)

KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language
by: Kim, Yoonshik, et al.
Published: (2025)

Towards Calibrating Prompt Tuning of Vision-Language Models
by: Sharifdeen, Ashshak, et al.
Published: (2026)

Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models
by: Li, Haoyang, et al.
Published: (2025)

Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
by: An, Zhaochong, et al.
Published: (2025)

Near OOD Detection for Vision-Language Prompt Learning with Contrastive Logit Score
by: Jung, Myong Chol, et al.
Published: (2024)

Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
by: Kim, Donggeun, et al.
Published: (2024)

AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
by: Chang, You-Ming, et al.
Published: (2023)

TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
by: Adhikari, Rabin, et al.
Published: (2024)

Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
by: Kim, Hyunjin, et al.
Published: (2025)

Debiased Prompt Tuning in Vision-Language Model without Annotations
by: Jiang, Chaoquan, et al.
Published: (2025)

Efficient Test-Time Prompt Tuning for Vision-Language Models
by: Zhu, Yuhan, et al.
Published: (2024)

SemPT: Semantic Prompt Tuning for Vision-Language Models
by: Shi, Xiao, et al.
Published: (2025)

Adversarial Prompt Tuning for Vision-Language Models
by: Zhang, Jiaming, et al.
Published: (2023)

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
by: Lee, Seonho, et al.
Published: (2025)

Online Continuous Generalized Category Discovery
by: Park, Keon-Hee, et al.
Published: (2024)

SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models
by: Tu, Mingxiao, et al.
Published: (2025)

D$^2$USt3R: Enhancing 3D Reconstruction for Dynamic Scenes
by: Han, Jisang, et al.
Published: (2025)

Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models
by: Guo, Boyang, et al.
Published: (2026)

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
by: Jung, Ji Hyeok, et al.
Published: (2024)

MoAPT: Mixture of Adversarial Prompt Tuning for Vision-Language Models
by: Zhao, Shiji, et al.
Published: (2025)

Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise
by: Gao, Yansheng, et al.
Published: (2025)

ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
by: Tian, Xinyu, et al.
Published: (2023)

FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
by: Zhai, Kun, et al.
Published: (2025)