1 citations · 1 across the 9 of their papers we have counts for
8 papers · 1 filter
Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models
Hulingxiao He, Zhi Tan, Yuxin Peng
Taxonomies provide key information about the semantic relationships between concepts and the inherent organization of vision and language. Despite their impressive capabilities, la…
AesFormer: Transform Everyday Photos into Beautiful Memories
Tianxiang Du, Hulingxiao He, Yuxin Peng
In everyday photography, aesthetically appealing moments are often captured with structural flaws (e.g., composition, camera viewpoint, or pose) that existing retouching and portra…
Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models
Hulingxiao He, Zhi Tan, Yuxin Peng
A high-performing, general-purpose visual understanding model should map visual inputs to a taxonomic tree of labels, identify novel categories beyond the training set for which fe…
Venus: Benchmarking and Empowering Multimodal Large Language Models for Aesthetic Guidance and Cropping
Tianxiang Du, Hulingxiao He, Yuxin Peng
The widespread use of smartphones has made photography ubiquitous, yet a clear gap remains between ordinary users and professional photographers, who can identify aesthetic issues…
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
Hulingxiao He, Zijun Geng, Yuxin Peng
Any entity in the visual world can be hierarchically grouped based on shared characteristics and mapped to fine-grained sub-categories. While Multi-modal Large Language Models (MLL…
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
Hulingxiao He, Geng Li, Zijun Geng +2
Multi-modal large language models (MLLMs) have shown remarkable abilities in various visual understanding tasks. However, MLLMs still struggle with fine-grained visual recognition…
CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting
Hulingxiao He, Yaqi Zhang, Jinglin Xu +1
Plant counting is essential in every stage of agriculture, including seed breeding, germination, cultivation, fertilization, pollination yield estimation, and harvesting. Inspired…
Learning Unified Representations for Multi-Resolution Face Recognition
Hulingxiao He, Wu Yuan, Yidian Huang +3
In this work, we propose Branch-to-Trunk network (BTNet), a representation learning method for multi-resolution face recognition. It consists of a trunk network (TNet), namely a un…