Search Results for author: Fengyi Wu

Found 5 papers, 2 papers with code

Pyramid Sparse Transformer: Enhancing Multi-Scale Feature Fusion with Dynamic Token Selection

no code implementations19 May 2025 Junyi Hu, Tian Bai, Fengyi Wu, Zhenming Peng, Yi Zhang

Feature fusion is critical for high-performance vision models but often incurs prohibitive complexity.

Securing the Skies: A Comprehensive Survey on Anti-UAV Methods, Benchmarking, and Future Directions

no code implementations16 Apr 2025 Yifei Dong, Fengyi Wu, Sanjian Zhang, Guangyu Chen, Yuzhi Hu, Masumi Yano, Jingdong Sun, Siyu Huang, Feng Liu, Qi Dai, Zhi-Qi Cheng

Unmanned Aerial Vehicles (UAVs) are indispensable for infrastructure inspection, surveillance, and related tasks, yet they also introduce critical security challenges.

Benchmarking Language Modeling +2

HA-VLN: A Benchmark for Human-Aware Navigation in Discrete-Continuous Environments with Dynamic Multi-Human Interactions, Real-World Validation, and an Open Leaderboard

no code implementations18 Mar 2025 Yifei Dong, Fengyi Wu, Qi He, Heng Li, Minghan Li, Zebang Cheng, Yuxuan Zhou, Jingdong Sun, Qi Dai, Zhi-Qi Cheng, Alexander G Hauptmann

Vision-and-Language Navigation (VLN) systems often focus on either discrete (panoramic) or continuous (free-motion) paradigms alone, overlooking the complexities of human-populated, dynamic environments.

Benchmarking Human Dynamics +1

Neural Spatial-Temporal Tensor Representation for Infrared Small Target Detection

1 code implementation23 Dec 2024 Fengyi Wu, Simin Liu, Haoan Wang, Bingjie Tao, Junhai Luo, Zhenming Peng

Optimization-based approaches dominate infrared small target detection as they leverage infrared imagery's intrinsic low-rankness and sparsity.

RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection

1 code implementation2 Nov 2023 Fengyi Wu, Tianfang Zhang, Lei LI, Yian Huang, Zhenming Peng

Deep learning (DL) networks have achieved remarkable performance in infrared small target detection (ISTD).

Image Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.