97 citations · 104 across the 12 of their papers we have counts for
13 papers
Kairos: A Dataset for Fine-Grained Video-Language Modeling over Space, Time, and Dynamics
Ruibo Ming, Lei Sun, Deheng Zhang +8
Many emerging video language modeling tasks require systems to move beyond clip-level abstraction and model visual content as it unfolds over extended time horizons. However, most…
FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production
Zhendong Li, Lei Sun, Letian Shi +8
Modern video generators excel at synthesizing individual clips, but complete video production requires coordinating a long sequence of interdependent creative steps, including scri…
Experience-Sensitive Game Learning: A Behavioral Study of Humans and Language Agents
Yingying Guo, Zhuoxuan Ju, Ruibo Ming +2
Large language model agents are increasingly evaluated through games, but most benchmarks emphasize final outcomes rather than how players learn from repeated interaction. We study…
Knowledge-Centric Agents for Workflow Generation in ComfyUI
Zhendong Li, Lei Sun, Ruibo Ming +4
Workflow generation in visual creation systems such as ComfyUI demands not only syntactic accuracy but also expert-level reasoning over modular compositions. Existing large languag…
Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
Xinlei Wang, Ruibo Ming, Jing Qiu +2
The scaling-law era has transformed artificial intelligence (AI) from research into a global industry, but its rapid growth also raises concerns over energy usage, carbon emissions…
A Style-Based Profiling Framework for Quantifying the Synthetic-to-Real Gap in Autonomous Driving Datasets
Dingyi Yao, Xinyao Han, Ruibo Ming +5
Ensuring the reliability of autonomous driving perception systems requires extensive environment-based testing, yet real-world execution is often impractical. Synthetic datasets ha…
Synthetic Dataset Evaluation Based on Generalized Cross Validation
Zhihang Song, Dingyi Yao, Ruibo Ming +3
With the rapid advancement of synthetic dataset generation techniques, evaluating the quality of synthetic data has become a critical research focus. Robust evaluation not only dri…
Auto-Regressive Models Need Structural Registers: Semantic Foresight Improves Coherent Driving Video Continuation
Ruibo Ming, Jingwei Wu, Zhewei Huang +5
Front-view driving video continuation is a critical component for constructing sophisticated world models. However, maintaining long-term coherence faces the fundamental challenge…
A re-calibration method for object detection with multi-modal alignment bias in autonomous driving
Zhihang Song, Dingyi Yao, Ruibo Ming +3
Multi-modal object detection in autonomous driving has achieved great breakthroughs due to the usage of fusing complementary information from different sensors. The calibration in…
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction
Jian Liu, Sipeng Zhang, Chuixin Kong +7
This technical report presents our solution, "occTransformer" for the 3D occupancy prediction track in the autonomous driving challenge at CVPR 2023. Our method builds upon the str…
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches
Ruibo Ming, Zhewei Huang, Jingwei Wu +5
Future Frame Synthesis (FFS), the task of generating subsequent video frames from context, represents a core challenge in machine intelligence and a cornerstone for developing pred…
Synthetic Datasets for Autonomous Driving: A Survey
Zhihang Song, Zimin He, Xingyu Li +8
Autonomous driving techniques have been flourishing in recent years while thirsting for huge amounts of high-quality data. However, it is difficult for real-world datasets to keep…
RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset
Zhongjin Luo, Shengcai Cai, Jinguo Dong +4
Assisting people in efficiently producing visually plausible 3D characters has always been a fundamental research topic in computer vision and computer graphics. Recent learning-ba…