activity
20232026
collaborators

8 papers

cs.CV2026

Knowledge-guided Disentanglement with Atomic Actions for Action Recognition

Tianci Wu, Siqi Cao, Guangming Zhu +6

Action recognition in complex scenes often involves multiple concurrent fine-grained actions, making it challenging to model internal action structures. Most existing methods rely…

cs.CV2026

Bridging Vision and Language Concepts through Optimal Transport Semantic Flow

Chenyang Zhang, Anqi Dong, Guangming Zhu +4

Concept Bottleneck Models (CBMs) promise transparent reasoning by predicting through human-interpretable concepts, yet their effectiveness fundamentally depends on how well visual…

cs.CV2026

Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval

Siyuan Wang, Hanchen Gao, Guangming Zhu +5

Fine-grained image retrieval via hand-drawn sketches or textual descriptions remains a critical challenge due to inherent modality gaps. While hand-drawn sketches capture complex s…

cs.CV2025

Prompt-guided Disentangled Representation for Action Recognition

Tianci Wu, Guangming Zhu, Jiang Lu +4

Action recognition is a fundamental task in video understanding. Existing methods typically extract unified features to process all actions in one video, which makes it challenging…

cs.CV2024

Content-Conditioned Generation of Stylized Free hand Sketches

Jiajun Liu, Siyuan Wang, Guangming Zhu +3

In recent years, the recognition of free-hand sketches has remained a popular task. However, in some special fields such as the military field, free-hand sketches are difficult to…

cs.CV2024

Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach

Huanyu Liu, Jianfeng Cai, Tingjia Zhang +6

Flowcharts and mind maps, collectively known as flowmind, are vital in daily activities, with hand-drawn versions facilitating real-time collaboration. However, there's a growing n…

cs.CV2023

Enhance Sketch Recognition's Explainability via Semantic Component-Level Parsing

Guangming Zhu, Siyuan Wang, Tianci Wu +1

Free-hand sketches are appealing for humans as a universal tool to depict the visual world. Humans can recognize varied sketches of a category easily by identifying the concurrence…

cs.CV2023

Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition

Guangming Zhu, Siyuan Wang, Qing Cheng +3

With the recent surge in the use of touchscreen devices, free-hand sketching has emerged as a promising modality for human-computer interaction. While previous research has focused…