1 citations · 1 across the 10 of their papers we have counts for
11 papers
MAG: MAnifold Guided Semi-Supervised Multi-modal In-Context Learning
Zirui Cheng, Xun Xu, Tiankai Chen +7
Few-shot in-context learning (ICL) with multi-modal large language models (MLLMs) enables task adaptation without parameter updates, but its performance is highly sensitive to the…
PRISM: : Planning and Reasoning with Intent in Simulated Embodied Environments
Yunn Kang Lim, Pengzhan Sun, Ziyi Bai +4
When an LLM-based embodied agent fails at a household task, the culprit could be misidentified objects, forgotten sub-goals, or poor action sequencing -- yet existing benchmarks re…
Thinking Ahead: Foresight Intelligence in MLLMs and World Model
Zhantao Gong, Liaoyuan Fan, Qing Guo +3
In this work, we define Foresight Intelligence as the capability to anticipate and interpret future events-an ability essential for applications such as autonomous driving, yet lar…
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
Tiankai Chen, Yushu Li, Adam Goodge +4
Out-of-distribution (OOD) detection in 3D point cloud data remains a challenge, particularly in applications where safe and robust perception is critical. While existing OOD detect…
SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
Adam Goodge, Xun Xu, Bryan Hooi +4
As point cloud data increases in prevalence in a variety of applications, the ability to detect out-of-distribution (OOD) point cloud objects becomes critical for ensuring model sa…
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion
Yifan Liu, Xun Xu, Shijie Li +2
Multi-camera systems provide richer contextual information for industrial anomaly detection. However, traditional methods process each view independently, disregarding the compleme…
Global-Aware Monocular Semantic Scene Completion with State Space Models
Shijie Li, Zhongyao Cheng, Rong Li +4
Monocular Semantic Scene Completion (MonoSSC) reconstructs and interprets 3D environments from a single image, enabling diverse real-world applications. However, existing methods a…
Future-Aware Interaction Network For Motion Forecasting
Shijie Li, Xun Xu, Si Yong Yeo +1
Motion forecasting is a crucial component of autonomous driving systems, enabling the generation of accurate and smooth future trajectories to ensure safe navigation to the destina…
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition
Qiyu Wei, Xun Xu, Zeng Zeng +1
The patterns on wafer maps play a crucial role in helping engineers identify the causes of production issues during semiconductor manufacturing. In order to reduce costs and improv…
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin, Xulei Yang, Tianrui Li +1
Recognizing 3D point cloud plays a pivotal role in many real-world applications. However, deploying 3D point cloud deep learning model is vulnerable to adversarial attacks. Despite…
A Timely Survey on Vision Transformer for Deepfake Detection
Zhikan Wang, Zhongyao Cheng, Jiajie Xiong +4
In recent years, the rapid advancement of deepfake technology has revolutionized content creation, lowering forgery costs while elevating quality. However, this progress brings for…