9 papers
StepGuard: Guarding Web Navigation via Single-Step Calibration
Zhihao Cui, Yuchen Zhang, Xiyang Sun +6
Web navigation requires agents to follow natural language goals, interact with web pages, and produce accurate answers. While recent advances leverage vision-language models and re…
REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detection
Jun Zhou, Bingwen Hu, Yaxiong Wang +4
Multimodal manipulation detection aims to simultaneously identify forged image--text pairs and localize tampered regions, yet existing methods typically rely on memorizing isolated…
Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
Jiahao Zhang, Shaofei Huang, Yaxiong Wang +1
Text-based person search faces inherent limitations due to data scarcity, driven by stringent privacy constraints and the high cost of manual annotation. To mitigate this, existing…
Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation
Lingyu Liu, Yaxiong Wang, Li Zhu +1
Video frame interpolation aims to synthesize realistic intermediate frames between given endpoints while adhering to specific motion semantics. While recent generative models have…
Look, Compare and Draw: Differential Query Transformer for Automatic Oil Painting
Lingyu Liu, Yaxiong Wang, Li Zhu +2
This work introduces a new approach to automatic oil painting that emphasizes the creation of dynamic and expressive brushstrokes. A pivotal challenge lies in mitigating the duplic…
Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection
Yuchen Zhang, Yaxiong Wang, Kecheng Han +4
Recent advances in generative AI have significantly enhanced the realism of multimodal media manipulation, thereby posing substantial challenges to manipulation detection. Existing…
Minimizing the Pretraining Gap: Domain-aligned Text-Based Person Retrieval
Shuyu Yang, Yaxiong Wang, Yongrui Li +2
In this work, we focus on text-based person retrieval, which identifies individuals based on textual descriptions. Despite advancements enabled by synthetic data for pretraining, a…
Towards Scalable Video Anomaly Retrieval: A Synthetic Video-Text Benchmark
Shuyu Yang, Yilun Wang, Yaxiong Wang +2
Video anomaly retrieval aims to localize anomalous events in videos using natural language queries to facilitate public safety. However, existing datasets suffer from severe limita…
TIGeR: Text-Instructed Generation and Refinement for Template-Free Hand-Object Interaction
Yiyao Huang, Zhedong Zheng, Yu Ziwei +3
Pre-defined 3D object templates are widely used in 3D reconstruction of hand-object interactions. However, they often require substantial manual efforts to capture or source, and i…