mlsanityData to 14 Oct 2026

MVP: Winning Solution to SMP Challenge 2025 Video Track

arXiv 2507.00950 ↗First posted 1 Jul 2025cs.CV cs.LG cs.MMcited by 14

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Abstract (arXiv)

Social media platforms serve as central hubs for content dissemination, opinion expression, and public engagement across diverse modalities. Accurately predicting the popularity of social media videos enables valuable applications in content recommendation, trend detection, and audience engagement. In this paper, we present Multimodal Video Predictor (MVP), our winning solution to the Video Track of the SMP Challenge 2025. MVP constructs expressive post representations by integrating deep video features extracted from pretrained models with user metadata and contextual information. The framework applies systematic preprocessing techniques, including log-transformations and outlier removal, to improve model robustness. A gradient-boosted regression model is trained to capture complex patterns across modalities. Our approach ranked first in the official evaluation of the Video Track, demonstrating its effectiveness and reliability for multimodal video popularity prediction on social platforms. The source code is available at https://anonymous.4open.science/r/SMPDVideo.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 19 of its 40 references that are in the map. First posted on arXiv 1 Jul 2025.

Builds on

19 of 40 references.

References · 19

  1. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166
  2. 2021Is Space-Time Attention All You Need for Video Understanding?cited by 1,620
  3. 2019VideoBERT: A Joint Model for Video and Language Representation Learningcited by 703
  4. 2022X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrievalcited by 280
  5. 2019Use What You Have: Video Retrieval Using Representations From Collaborative Expertscited by 214
  6. 2018CatBoost: gradient boosting with categorical features supportcited by 208
  7. 2022Language Models with Image Descriptors are Strong Few-Shot Video-Language Learnerscited by 117
  8. 2018Learning a Text-Video Embedding from Incomplete and Heterogeneous Datacited by 103
  9. 2022Transformer Tracking with Cyclic Shifting Window Attentioncited by 75
  10. 2023Compact Transformer Tracker with Correlative Masked Modelingcited by 50
  11. 2023DiffusionTrack: Diffusion Model For Multi-Object Trackingcited by 40
  12. 2024Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectivescited by 37
7 more
  1. 2025SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understandingcited by 25
  2. 2024Autogenic Language Embedding for Coherent Point Trackingcited by 17
  3. 2024Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Modelcited by 14
  4. 2024Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trendscited by 11
  5. 2018A Multimodal Approach to Predict Social Media Popularitycited by 7
  6. 2019SMP Challenge: An Overview of Social Media Prediction Challenge 2019cited by 5
  7. 2024SMP Challenge: An Overview and Analysis of Social Media Prediction Challengecited by 4

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Citing papers per year: 2025: 1; 2026: 13.

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  1. 2025Semantic-Aware Logical Reasoning via a Semiotic Frameworkcited by 32
  2. 2026Logical Phase Transitions: Understanding Collapse in LLM Logical Reasoningcited by 25
  3. 2026Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrievalcited by 18
  4. 2026ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrievalcited by 17
  5. 2026Large Language Model as Token Compressor and Decompressorcited by 4
  6. 2026HotComment: A Benchmark for Evaluating Popularity of Online Commentscited by 3
  7. 2026CurEvo: Curriculum-Guided Self-Evolution for Video Understandingcited by 3
  8. 2026Hypergraph-State Collaborative Reasoning for Multi-Object Trackingcited by 2
  9. 2026OmniTrend: Content-Context Modeling for Scalable Social Popularity Predictioncited by 1
  10. 2026IMAGINE: Adaptive Schema-Imagery Enhanced Composition for Composed Video Retrievalcited by 1
  11. 2026From Topology to Trajectory: LLM-Driven World Models For Supply Chain Resiliencecited by 0
  12. 2026GateMOT: Q-Gated Attention for Dense Object Trackingcited by 0
2 more
  1. 2026PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specializationcited by 0
  2. 2026Too Good to Be Real? Diagnosing and Reducing the Gap Between AI Preference and Real User Engagementcited by 0