:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Tao, Zhang, Yushu, Yang, Zixuan, Xiao, Xiangli, Zhang, Hua, Hua, Zhongyun
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2307.00481
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service
by: Zhang, Kuiyuan, et al.
Published: (2022)

Seeing is Believing? Enhancing Vision-Language Navigation using Visual Perturbations
by: Zhang, Xuesong, et al.
Published: (2024)

GS-Hider: Hiding Messages into 3D Gaussian Splatting
by: Zhang, Xuanyu, et al.
Published: (2024)

Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
by: He, Zhentao, et al.
Published: (2025)

Seeing is Believing (and Predicting): Context-Aware Multi-Human Behavior Prediction with Vision Language Models
by: Panchal, Utsav, et al.
Published: (2025)

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models
by: Xuan, Weihao, et al.
Published: (2025)

Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models
by: Khan, Mohammed Safi Ur Rahman, et al.
Published: (2026)

Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise
by: Geng, Zibin, et al.
Published: (2026)

Seeing is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
by: Guo, Pinxue, et al.
Published: (2025)

Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
by: Wang, Liqin, et al.
Published: (2025)

Seeing vs. Believing: Evaluating the Language Bias of Open-Source MLLMs in Counter-Intuitive Scenes
by: Ling, Chen, et al.
Published: (2026)

Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies
by: Hou, Wenjin, et al.
Published: (2026)

Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
by: Zhou, Yuhang, et al.
Published: (2025)

Believing is Seeing: Unobserved Object Detection using Generative Models
by: Bhattacharjee, Subhransu S., et al.
Published: (2024)

Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
by: Liu, Zhining, et al.
Published: (2025)

InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
by: Xue, Mingfu, et al.
Published: (2022)

SemDP: Semantic-level Differential Privacy Protection for Face Datasets
by: Zhang, Xiaoting, et al.
Published: (2024)

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding
by: Deng, Ailin, et al.
Published: (2024)

Seeing Isn't Believing: Context-Aware Adversarial Patch Synthesis via Conditional GAN
by: Kazoom, Roie, et al.
Published: (2025)

Seeing Isn't Always Believing: Analysis of Grad-CAM Faithfulness and Localization Reliability in Lung Cancer CT Classification
by: Panboonyuen, Teerapong
Published: (2026)

Dense Vision Transformer Compression with Few Samples
by: Zhang, Hanxiao, et al.
Published: (2024)

Identity-GRPO: Optimizing Multi-Human Identity-preserving Video Generation via Reinforcement Learning
by: Meng, Xiangyu, et al.
Published: (2025)

Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment
by: Hernández-Cámara, Pablo, et al.
Published: (2025)

MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation
by: Tao, Hanjun, et al.
Published: (2026)

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
by: Zheng, Xu, et al.
Published: (2023)

ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
by: He, Xuanhua, et al.
Published: (2024)

Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
by: Li, Yushu, et al.
Published: (2024)

I Can't Believe It's Not Scene Flow!
by: Khatri, Ishan, et al.
Published: (2024)

DB SwinT: A Dual-Branch Swin Transformer Network for Road Extraction in Optical Remote Sensing Imagery
by: He, Zongyang, et al.
Published: (2026)

See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning
by: Zhang, Shuoshuo, et al.
Published: (2025)

FLARE: Toward Universal Dataset Purification against Backdoor Attacks
by: Hou, Linshan, et al.
Published: (2024)

Exploring Interactive Semantic Alignment for Efficient HOI Detection with Vision-language Model
by: Dong, Jihao, et al.
Published: (2024)

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
by: Qi, Shuren, et al.
Published: (2024)

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models
by: Zhang, Ying, et al.
Published: (2025)

InsHuman: Towards Natural and Identity-Preserving Human Insertion
by: Li, Jie, et al.
Published: (2026)

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset
by: Wang, Zirui, et al.
Published: (2025)

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2023)

Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users
by: Murrugarra-LLerena, Jeffri, et al.
Published: (2025)

Stable Vision Concept Transformers for Medical Diagnosis
by: Hu, Lijie, et al.
Published: (2025)

An Identity-Preserved Framework for Human Motion Transfer
by: Ma, Jingzhe, et al.
Published: (2022)