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20232026
most citedHybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction

12 citations · 29 across the 17 of their papers we have counts for

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21 papers · 1 filter

cs.CV2025

FysicsWorld: A Unified Full-Modality Benchmark for Any-to-Any Understanding, Generation, and Reasoning

Yue Jiang, Dingkang Yang, Minghao Han +6

Despite rapid progress in multimodal large language models (MLLMs) and emerging omni-modal architectures, current benchmarks remain limited in scope and integration, suffering from…

cs.CV2025

SatireDecoder: Visual Cascaded Decoupling for Enhancing Satirical Image Comprehension

Yue Jiang, Haiwei Xue, Minghao Han +5

Satire, a form of artistic expression combining humor with implicit critique, holds significant social value by illuminating societal issues. Despite its cultural and societal sign…

cs.CV2025

Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding

Keliang Liu, Zizhi Chen, Mingcheng Li +3

Document understanding is a long standing practical task. Vision Language Models (VLMs) have gradually become a primary approach in this domain, demonstrating effective performance…

cs.CV20251 cited

Improving Multimodal Sentiment Analysis via Modality Optimization and Dynamic Primary Modality Selection

Dingkang Yang, Mingcheng Li, Xuecheng Wu +5

Multimodal Sentiment Analysis (MSA) aims to predict sentiment from language, acoustic, and visual data in videos. However, imbalanced unimodal performance often leads to suboptimal…

cs.CV2025

PersonaAnimator: Personalized Motion Transfer from Unconstrained Videos

Ziyun Qian, Runyu Xiao, Shuyuan Tu +7

Recent advances in motion generation show remarkable progress. However, several limitations remain: (1) Existing pose-guided character motion transfer methods merely replicate moti…

cs.CV2025

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation

Mingcheng Li, Xiaolu Hou, Ziyang Liu +7

Diffusion models have shown excellent performance in text-to-image generation. Nevertheless, existing methods often suffer from performance bottlenecks when handling complex prompt…