:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xia, Weihao, de Charette, Raoul, Öztireli, Cengiz, Xue, Jing-Hao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2404.07202
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multigranular Evaluation for Brain Visual Decoding
by: Xia, Weihao, et al.
Published: (2025)

DREAM: Visual Decoding from Reversing Human Visual System
by: Xia, Weihao, et al.
Published: (2023)

Exploring The Visual Feature Space for Multimodal Neural Decoding
by: Xia, Weihao, et al.
Published: (2025)

LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
by: Cao, Anh-Quan, et al.
Published: (2024)

RETRO: REthinking Tactile Representation Learning with Material PriOrs
by: Xia, Weihao, et al.
Published: (2025)

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
by: Cao, Anh-Quan, et al.
Published: (2023)

CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation
by: Zhou, Chenliang, et al.
Published: (2022)

DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning
by: Lopes, Ivan, et al.
Published: (2022)

StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets
by: Cao, Anh-Quan, et al.
Published: (2025)

A Survey on Text-Driven 360-Degree Panorama Generation
by: Wang, Hai, et al.
Published: (2025)

Brain-CLIPLM: Decoding Compressed Semantic Representations in EEG for Language Reconstruction
by: Yang, Xiaoli, et al.
Published: (2026)

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
by: LASA Team, et al.
Published: (2025)

EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors
by: Lu, Xingyuan, et al.
Published: (2025)

BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Models
by: Huang, Wanaiu
Published: (2024)

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
by: Wu, Chengyue, et al.
Published: (2024)

SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
by: Lv, Weijiang, et al.
Published: (2026)

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
by: Chen, Xiaokang, et al.
Published: (2025)

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2024)

UniCode: Learning a Unified Codebook for Multimodal Large Language Models
by: Zheng, Sipeng, et al.
Published: (2024)

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
by: Ma, Yiyang, et al.
Published: (2024)

CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook
by: Chen, Zeyu, et al.
Published: (2026)

UniSAFE: A Comprehensive Benchmark for Safety Evaluation of Unified Multimodal Models
by: Lee, Segyu, et al.
Published: (2026)

The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
by: Yin, Hao, et al.
Published: (2025)

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
by: Jiang, Lingjie, et al.
Published: (2025)

NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors
by: Ren, Lingfeng, et al.
Published: (2026)

How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding
by: Yu, Zhuoran, et al.
Published: (2025)

AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
by: Liang, Jiafeng, et al.
Published: (2025)

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards
by: Hong, Jixiang, et al.
Published: (2025)

Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
by: Zhou, Chenliang, et al.
Published: (2026)

SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
by: Ji, Yicheng, et al.
Published: (2025)

Controlling Multimodal LLMs via Reward-guided Decoding
by: Mañas, Oscar, et al.
Published: (2025)

A Survey on Benchmarks of Multimodal Large Language Models
by: Li, Jian, et al.
Published: (2024)

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
by: Li, Yunxin, et al.
Published: (2024)

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025)

VLSBench: Unveiling Visual Leakage in Multimodal Safety
by: Hu, Xuhao, et al.
Published: (2024)

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2023)

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling
by: Xie, Xudong, et al.
Published: (2024)

AviationLMM: A Large Multimodal Foundation Model for Civil Aviation
by: Li, Wenbin, et al.
Published: (2026)

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning
by: Yu, Hao, et al.
Published: (2025)

Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
by: Xu, Haolei, et al.
Published: (2026)