:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ke, Xueyi, Tsutsui, Satoshi, Zhang, Yayun, Wen, Bihan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2501.05205
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Clinical Knowledge into Concept Bottleneck Models
by: Pang, Winnie, et al.
Published: (2024)

Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
by: Cai, Yuxuan, et al.
Published: (2025)

WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
by: Tsutsui, Satoshi, et al.
Published: (2026)

Training-Free Text-Guided Image Editing with Visual Autoregressive Model
by: Wang, Yufei, et al.
Published: (2025)

Discovering the Hidden Role of Gini Index In Prompt-based Classification
by: Lin, Ruixi
Published: (2026)

DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild
by: Fu, Honghao, et al.
Published: (2024)

Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
by: Rao, Sukrut, et al.
Published: (2024)

Beyond Visual Safety: Jailbreaking Multimodal Large Language Models for Harmful Image Generation via Semantic-Agnostic Inputs
by: Yu, Mingyu, et al.
Published: (2026)

Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
by: Zhao, Yinjie, et al.
Published: (2025)

Unbiased Visual Reasoning with Controlled Visual Inputs
by: Li, Zhaonan, et al.
Published: (2025)

Beyond Fixed Anchors: Precisely Erasing Concepts with Sibling Exclusive Counterparts
by: Zhang, Tong, et al.
Published: (2025)

Visual Data Diagnosis and Debiasing with Concept Graphs
by: Chakraborty, Rwiddhi, et al.
Published: (2024)

Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
by: Wang, Xiyu, et al.
Published: (2024)

Single-Input Multi-Output Model Merging: Leveraging Foundation Models for Dense Multi-Task Learning
by: Giraldo, Juan Garcia, et al.
Published: (2025)

ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model
by: Wang, Yufei, et al.
Published: (2024)

Survey on Hand Gesture Recognition from Visual Input
by: Linardakis, Manousos, et al.
Published: (2025)

ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
by: Choi, Jinho, et al.
Published: (2025)

DTL: Disentangled Transfer Learning for Visual Recognition
by: Fu, Minghao, et al.
Published: (2023)

Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments
by: Nguyen, Van Quang
Published: (2026)

Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis
by: Naeem, Shahzeb, et al.
Published: (2024)

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
by: Zhu, Zihao, et al.
Published: (2023)

Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
by: Furby, Jack, et al.
Published: (2024)

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
by: Jin, Chen, et al.
Published: (2023)

LostPaw: Finding Lost Pets using a Contrastive Learning-based Transformer with Visual Input
by: Voinea, Andrei, et al.
Published: (2023)

StreamingTOM: Streaming Token Compression for Efficient Video Understanding
by: Chen, Xueyi, et al.
Published: (2025)

Representation Learning of Point Cloud Upsampling in Global and Local Inputs
by: Zhang, Tongxu, et al.
Published: (2025)

Multimodal Learning for Fake News Detection in Short Videos Using Linguistically Verified Data and Heterogeneous Modality Fusion
by: Li, Shanghong, et al.
Published: (2025)

OmniPrism: Learning Disentangled Visual Concept for Image Generation
by: Li, Yangyang, et al.
Published: (2024)

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
by: Zhang, Qizhe, et al.
Published: (2024)

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs
by: Zhang, Yiman, et al.
Published: (2025)

Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms
by: Chen, Boyi, et al.
Published: (2025)

VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models
by: Balakrishnan, Ravikumar, et al.
Published: (2025)

VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models
by: Phute, Mansi, et al.
Published: (2025)

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning
by: Sun, Jingbo, et al.
Published: (2026)

Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning
by: Tan, Zhangyun, et al.
Published: (2026)

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
by: Chen, Haokun, et al.
Published: (2025)

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
by: Fan, Jianan, et al.
Published: (2024)

CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning
by: Li, Kailing, et al.
Published: (2025)

Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
by: Xu, Ziwang, et al.
Published: (2025)

Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
by: Xiong, Yuqi, et al.
Published: (2026)