4 citations · 5 across the 8 of their papers we have counts for
8 papers
PACE: Policy-Native Adaptive Decision Timing for Long-Horizon Reasoning
Chen Li, Zhantao Yang, Fangyi Chen +3
Long-horizon reasoning requires deciding not only what actions to take, but how many to execute open-loop before replanning. This number, the execution depth, balances replanning c…
MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption
Chen Li, Zhantao Yang, Han Zhang +4
Vision-Language-Action (VLA) models show promise in embodied reasoning, yet remain far from true generalists-they often require task-specific fine-tuning, incur high compute costs,…
STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision
Chen Li, Han Zhang, Zhantao Yang +4
Vision-language models (VLMs) have made significant strides in reasoning, yet they often struggle with complex multimodal tasks and tend to generate overly verbose outputs. A key l…
Hierarchical Knowledge Graph Construction from Images for Scalable E-Commerce
Zhantao Yang, Han Zhang, Fangyi Chen +2
Knowledge Graph (KG) is playing an increasingly important role in various AI systems. For e-commerce, an efficient and low-cost automated knowledge graph construction method is the…
A Reference-Based 3D Semantic-Aware Framework for Accurate Local Facial Attribute Editing
Yu-Kai Huang, Yutong Zheng, Yen-Shuo Su +4
Facial attribute editing plays a crucial role in synthesizing realistic faces with specific characteristics while maintaining realistic appearances. Despite advancements, challenge…
RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection
Fangyi Chen, Han Zhang, Zhantao Yang +3
Open-vocabulary object detection (OVD) requires solid modeling of the region-semantic relationship, which could be learned from massive region-text pairs. However, such data is lim…
Enhanced Training of Query-Based Object Detection via Selective Query Recollection
Fangyi Chen, Han Zhang, Kai Hu +3
This paper investigates a phenomenon where query-based object detectors mispredict at the last decoding stage while predicting correctly at an intermediate stage. We review the tra…
Unitail: Detecting, Reading, and Matching in Retail Scene
Fangyi Chen, Han Zhang, Zaiwang Li +7
To make full use of computer vision technology in stores, it is required to consider the actual needs that fit the characteristics of the retail scene. Pursuing this goal, we intro…