Key papers

• V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning (2026)
  Haoxiang Sun et al.
  11.36
• OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains (2026)
  Xinyue Cai et al.
  10.48
• Human Motion Video Generation: A Survey (2025)
  Haiwei Xue, Xiangyang Luo, Zhanghao Hu, et al.
  10.08
• OmniTransfer: All-in-one Framework for Spatio-temporal Video Transfer (2026)
  Pengze Zhang et al.
  9.98
• Show, Tell And Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization (2025)
  Zhiwang Zhang, Dong Xu, Wanli Ouyang, et al.
  9.54
• Native Active Perception as Reasoning for Omni-Modal Understanding (2026)
  Zhenghao Xing et al.
  9.48
• Omnivec2 -- A Novel Transformer Based Network For Large Scale Multimodal And Multitask Learning (2025)
  Siddharth Srivastava, Gaurav Sharma
  9.34
• Audio-Visual Flamingo: Open Audio-Visual Intelligence for Long and Complex Videos (2026)
  Sreyan Ghosh et al.
  8.80
• AVTok: 1D Unified Tokenization for Holistic Audio-Video Generation (2026)
  Kien T. Pham et al.
  8.36
• ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering (2026)
  ZhengXian Wu et al.
  8.34
• DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning (2025)
  Chengxuan Qian et al.
  7.71
• A Context-aware Attention And Graph Neural Network-based Multimodal Framework For Misogyny Detection (2025)
  Mohammad Zia Ur Rehman, Sufyaan Zahoor, Areeb Manzoor, et al.
  7.61
• Versatile audio-visual learning for emotion recognition (2023)
  Lucas Goncalves et al.
  6.77
• Listening To The Unspoken: Exploring "365" Aspects Of Multimodal Interview Performance Assessment (2025)
  Jia Li, Yang Wang, Wenhao Qian, et al.
  6.50
• DiCoBench: Benchmarking Multi-Image Fine-Grained Perception via Differential and Commonality Visual Cues (2026)
  Geng Li et al.
  6.39
• Mevis: A Multi-modal Dataset For Referring Motion Expression Video Segmentation (2025)
  Henghui Ding, Chang Liu, Shuting He, et al.
  6.01
• Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment (2026)
  Geng Li et al.
  5.82
• Rethinking the Mixture of Vision Encoders Paradigm for Enhanced Visual Understanding in Multimodal LLMs (2025)
  Mozhgan Nasr Azadani et al.
  5.73
• Implihatevid: A Benchmark Dataset And Two-stage Contrastive Learning Framework For Implicit Hate Speech Detection In Videos (2025)
  Mohammad Zia Ur Rehman, Anukriti Bhatnagar, Omkar Kabde, et al.
  5.70
• MM-HSD: Multi-modal Hate Speech Detection In Videos (2025)
  Berta Céspedes-Sarrias, Carlos Collado-Capell, Pablo Rodenas-Ruiz, et al.
  5.61
• Enhanced Multimodal Hate Video Detection Via Channel-wise And Modality-wise Fusion (2025)
  Yinghui Zhang, Tailin Chen, Yuchen Zhang, et al.
  5.60
• DRKF: Decoupled Representations With Knowledge Fusion For Multimodal Emotion Recognition (2025)
  Peiyuan Jiang, Yao Liu, Qiao Liu, et al.
  5.56
• WDMIR: Wavelet-driven Multimodal Intent Recognition (2025)
  Weiyin Gong, Kai Zhang, Yanghai Zhang, et al.
  5.35
• Singakids: A Multilingual Multimodal Dialogic Tutor For Language Learning (2025)
  Zhengyuan Liu, Geyu Lin, Hui Li Tan, et al.
  5.35
• Noteit: A System Converting Instructional Videos To Interactable Notes Through Multimodal Video Understanding (2025)
  Running Zhao, Zhihan Jiang, Xinchen Zhang, et al.
  5.35
• ERNIE 5.0 Technical Report (2026)
  Haifeng Wang et al.
  5.25
• E3RG: Building Explicit Emotion-driven Empathetic Response Generation System With Multimodal Large Language Model (2025)
  Ronghao Lin, Shuai Shen, Weipeng Hu, et al.
  5.17
• A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension (2025)
  Mohammad Zia Ur Rehman et al.
  5.04
• Grounding Emotion Recognition With Visual Prototypes: VEGA -- Revisiting CLIP In MERC (2025)
  Guanyu Hu, Dimitrios Kollias, Xinyu Yang
  5.03
• Mixture of Probes: Learning from Privileged Modalities in Multimodal LLMs Through Probing (2026)
  Dominick Reilly et al.
  4.95
• Examining the Associations between Visual and Non-Visual Elements and Cyclists' Route Choices for Various Trip Purposes (2026)
  Heyang Hua et al.
  4.95
• ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts (2026)
  Mingxin Wang et al.
  4.95
• SAM2-LOVE: Segment Anything Model 2 In Language-aided Audio-visual Scenes (2025)
  Yuji Wang, Haoran Xu, Yong Liu, et al.
  4.93
• Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs (2026)
  Xi Xiao et al.
  4.90
• Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion (2025)
  Junkai Zhang et al.
  4.82
• Learning Contrastive Multimodal Fusion With Improved Modality Dropout For Disease Detection And Prediction (2025)
  Yi Gu, Kuniaki Saito, Jiaxin Ma
  4.60
• NSF-MAP: Neurosymbolic Multimodal Fusion For Robust And Interpretable Anomaly Prediction In Assembly Pipelines (2025)
  Chathurangi Shyalika, Renjith Prasad, Fadi El Kalach, et al.
  4.60
• Engagement Prediction Of Short Videos With Large Multimodal Models (2025)
  Wei Sun, Linhan Cao, Yuqin Cao, et al.
  4.56
• Adaptive Markup Language Generation For Contextually-grounded Visual Document Understanding (2025)
  Han Xiao, Yina Xie, Guanxin Tan, et al.
  4.56
• Advancing Talking Head Generation: A Comprehensive Survey Of Multi-modal Methodologies, Datasets, Evaluation Metrics, And Loss Functions (2025)
  Vineet Kumar Rakesh, Soumya Mazumdar, Research Pratim Maity, et al.
  4.50
• Autoregressive Semantic Visual Reconstruction Helps Vlms Understand Better (2025)
  Dianyi Wang, Wei Song, Yikun Wang, et al.
  4.45
• The Perils Of Chart Deception: How Misleading Visualizations Affect Vision-language Models (2025)
  Ridwan Mahbub, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, et al.
  4.42
• Audio Does Matter: Importance-aware Multi-granularity Fusion For Video Moment Retrieval (2025)
  Junan Lin, Daizong Liu, Xianke Chen, et al.
  4.39
• Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge Distillation (2026)
  Jaehyun Jang et al.
  4.33
• Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment (2026)
  Zixiang Zhou et al.
  4.33
• Optimal Transport-based Semantic Alignment for LLM-based Audio-Visual Speech Recognition (2026)
  Xugang Lu et al.
  4.33
• Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System (2026)
  Ken Jon Miyachi et al.
  4.33
• Audio-Text Cross-Attention with Psycholinguistic Support Features for Ambivalence/Hesitancy Recognition (2026)
  Luiz F. B. F. Martins et al.
  4.33
• Learning Speaker Identity Beyond Language and Modality Constraints: Insights from the POLY-SIM 2026 Challenge (2026)
  Marta Moscati et al.
  4.33
• CF-Net: Conflict Fusion with Speaker Normalisation and Certainty Weighting for Ambivalence/Hesitancy Recognition (2026)
  Tung Hung Bui et al.
  4.33
• Data-driven Video Codec with Implicit Neural Representations (2026)
  Nishan Khanal et al.
  4.33
• Efficient Audio-Visual Event Recognition via Knowledge Distillation and Dynamic INT8 Quantization of a Hybrid Cross-Attention Network (2026)
  Parinaz Binandeh Dehaghani et al.
  4.33
• Unsupervised Multimodal Intent Discovery via MLLM-Guided Concept Generation and Semantic Propagation (2026)
  Yunjin Gu et al.
  4.33
• Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction (2026)
  Min-Jae Kim et al.
  4.33
• DDVT: Dynamic Dual-level Vision Transformer Fusion Network for Answer Grounding in Visual Question Answering (2026)
  Yue Zhang et al.
  4.33
• TimePLE: Rethinking Temporal Representation for Video Temporal Grounding (2026)
  Yuhui Zeng et al.
  4.33
• Semantic-Aligned Structural Abstraction for Multimodal Sentiment Analysis (2026)
  Wei Chen et al.
  4.33
• ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding (2026)
  Xinkui Zhao et al.
  4.33
• DoubleHelix: Structured Cross-Modal Fusion for Audio-Visual Speech Recognition with LLMs (2026)
  Ziwei Cheng et al.
  4.33
• SERUM: State Extraction and Refinement for User Modeling (2026)
  Andy J. Phu et al.
  4.33