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Ziqiang Wang

7 accepted papers

2026

Widget2Code: From Visual Widgets to UI Code via Multimodal LLMs

CVPR 2026

User interface to code (UI2Code) aims to generate executable code that can faithfully reconstruct a given input UI. Prior work focuses largely on web pages and mobile screens, leaving app widgets underexplored. Unlike web or mobile UIs with rich hierarchical context, widgets are compact, context-fre

Cited by 0SourcecodeScholar
2025

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

ICLR 2025poster

Few-shot Test-Time Domain Adaptation focuses on adapting a model at test time to a specific domain using only a few unlabeled examples, addressing domain shift. Prior methods leverage CLIP's strong out-of-distribution (OOD) abilities by generating domain-specific prompts to guide its generalized, fr…

2025

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation

ICCV 2025poster

CLIP exhibits strong visual-textual alignment but struggle with open-vocabulary segmentation due to poor localization. Prior methods enhance spatial coherence by modifying intermediate attention. But, this coherence isn't consistently propagated to the final output due to subsequent operations such…

2025

PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion

NeurIPS 2025poster

Point cloud completion is essential for robust 3D perception in safety-critical applications such as robotics and augmented reality. However, existing models perform static inference and rely heavily on inductive biases learned during training, limiting their ability to adapt to novel structural pat…

Cited by 0SourceScholar
2023

Ontology-Aware Network for Zero-Shot Sketch-Based Image Retrieval

ICASSP 2023accepted

Zero-Shot Sketch-Based Image Retrieval (ZSSBIR) is an emerging task. The pioneering work focused on the modal gap but ignored inter-class information. Although recent work has begun to consider the triplet-based or contrast-based loss to mine inter-class information, positive and negative samples ne…

Cited by 0SourceScholar
2023

Traffic Flow-Based Crowdsourced Mapping in Complex Urban Scenario

RA-L 2023

An accurate road topological structure is of great importance for autonomous driving in complex urban environments. Currently, most autonomous vehicles highly rely on the High-Definition map (HD map) to cruise across the city. Without the prior map, it's hard for vehicles to find right-turning and l

Cited by 13SourceScholar