2 citations · 2 across the 8 of their papers we have counts for
8 papers
RAM: Recover Any 3D Human Motion in-the-Wild
Sen Jia, Ning Zhu, Jinqin Zhong +4
RAM incorporates a motion-aware semantic tracker with adaptive Kalman filtering to achieve robust identity association under severe occlusions and dynamic interactions. A memory-au…
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
Yunchuan Guan, Yu Liu, Ke Zhou +8
Recent advances in generative modeling enable neural networks to generate weights without relying on gradient-based optimization. However, current methods are limited by issues of…
ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis
Lei Li, Sen Jia, Jianhao Wang +4
Advancements in Multimodal Large Language Models (MLLMs) have improved human motion understanding. However, these models remain constrained by their "instruct-only" nature, lacking…
Graph Canvas for Controllable 3D Scene Generation
Libin Liu, Shen Chen, Sen Jia +6
Spatial intelligence is foundational to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension. Current methodologies for 3…
COEF-VQ: Cost-Efficient Video Quality Understanding through a Cascaded Multimodal LLM Framework
Xin Dong, Sen Jia, Ming Rui Wang +4
Recently, with the emergence of recent Multimodal Large Language Model (MLLM) technology, it has become possible to exploit its video understanding capability on different classifi…
LaVIDE: Language-Prompted Satellite Change Detection via Map-Image Alignment
Shuguo Jiang, Fang Xu, Chuandong Liu +6
Remote sensing change detection based on a map reference and an up-to-date image boosts timely observation of the Earth's surface when earlier images are lacking for comparison. Ho…
Human Motion Instruction Tuning
Lei Li, Sen Jia, Jianhao Wang +6
This paper presents LLaMo (Large Language and Human Motion Assistant), a multimodal framework for human motion instruction tuning. In contrast to conventional instruction-tuning ap…
Adaptive Masking Enhances Visual Grounding
Sen Jia, Lei Li
In recent years, zero-shot and few-shot learning in visual grounding have garnered considerable attention, largely due to the success of large-scale vision-language pre-training on…