2 citations · 2 across the 10 of their papers we have counts for
9 papers · 1 filter
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning
Yuyang Ji, Yixuan Shen, Anil Jain +2
Digital entities such as AI agents and humanoid robots increasingly operate alongside real humans, yet their identity infrastructure is based on credentials rather than embodied bi…
IDSelect: A RL-Based Cost-Aware Selection Agent for Video-based Multi-Modal Person Recognition
Yuyang Ji, Yixuan Shen, Kien Nguyen +2
Video-based person recognition achieves robust identification by integrating face, body, and gait. However, current systems waste computational resources by processing all modaliti…
BioGait-VLM: A Tri-Modal Vision-Language-Biomechanics Framework for Interpretable Clinical Gait Assessment
Erdong Chen, Yuyang Ji, Jacob K. Greenberg +5
Video-based Clinical Gait Analysis often suffers from poor generalization as models overfit environmental biases instead of capturing pathological motion. To address this, we propo…
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection
Zeyi Huang, Yuyang Ji, Anirudh Sundara Rajan +5
We introduce VisTA, a new reinforcement learning framework that empowers visual agents to dynamically explore, select, and combine tools from a diverse library based on empirical p…
Socratic Chart: Cooperating Multiple Agents for Robust SVG Chart Understanding
Yuyang Ji, Haohan Wang
Multimodal Large Language Models (MLLMs) have shown remarkable versatility but face challenges in demonstrating true visual understanding, particularly in chart reasoning tasks. Ex…
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Zeyi Huang, Utkarsh Ojha, Yuyang Ji +2
When a human undertakes a test, their responses likely follow a pattern: if they answered an easy question incorrectly, they would likely answer a more difficult one…
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
Eric Xue, Ke Chen, Zeyi Huang +2
Large language model (LLM) agents have emerged as a promising solution to automate the workflow of machine learning, but most existing methods share a common limitation: they attem…
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs
Zeyi Huang, Yuyang Ji, Xiaofang Wang +11
Long-form video understanding with Large Vision Language Models is challenged by the need to analyze temporally dispersed yet spatially concentrated key moments within limited cont…
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu, Yuyang Ji, Zhiyu Zhao +2
Pre-trained vision-language models (VLMs) have shown impressive results in various visual classification tasks. However, we often fail to fully unleash their potential when adaptin…