When Numbers Speak: Aligning Textual Numerals and Visual Instances in Text-to-Video Diffusion Models
Paper • 2604.08546 • Published • 107
Dingkang Liang
dkliang
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AI & ML interests
World Model, 3D Vision, Dense Object Analysis
Recent Activity
authored a paper 2 days ago
When Numbers Speak: Aligning Textual Numerals and Visual Instances in Text-to-Video Diffusion Models submitted a paper 2 days ago
When Numbers Speak: Aligning Textual Numerals and Visual Instances in Text-to-Video Diffusion ModelsOrganizations
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papers 5 months ago
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
Paper • 2306.02245 • Published • 2
Mini-Monkey: Multi-Scale Adaptive Cropping for Multimodal Large Language Models
Paper • 2408.02034 • Published
Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression
Paper • 2409.00633 • Published
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
Paper • 2207.11463 • Published
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
Paper • 2501.14729 • Published • 3
Seeing the Future, Perceiving the Future: A Unified Driving World Model for Future Generation and Perception
Paper • 2503.13587 • Published
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
Paper • 2504.09966 • Published • 1
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
Paper • 2505.08725 • Published
Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle
Paper • 2508.05612 • Published • 2
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Paper • 2410.08114 • Published
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment
Paper • 2504.18576 • Published
The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey
Paper • 2502.10498 • Published