165 citations · 332 across the 61 of their papers we have counts for
6 papers · 1 filter
DualGazeNet: A Biologically Inspired Dual-Gaze Query Network for Salient Object Detection
Yu Zhang, Haoan Ping, Yuchen Li +3
Recent salient object detection (SOD) methods aim to improve performance in four key directions: semantic enhancement, boundary refinement, auxiliary task supervision, and multi-mo…
Learning Monocular Depth from Events via Egomotion Compensation
Haitao Meng, Chonghao Zhong, Sheng Tang +6
Event cameras are neuromorphically inspired sensors that sparsely and asynchronously report brightness changes. Their unique characteristics of high temporal resolution, high dynam…
E-3DGS: Gaussian Splatting with Exposure and Motion Events
Xiaoting Yin, Hao Shi, Yuhan Bao +4
Achieving 3D reconstruction from images captured under optimal conditions has been extensively studied in the vision and imaging fields. However, in real-world scenarios, challenge…
Learning effective pruning at initialization from iterative pruning
Shengkai Liu, Yaofeng Cheng, Fusheng Zha +4
Pruning at initialization (PaI) reduces training costs by removing weights before training, which becomes increasingly crucial with the growing network size. However, current PaI m…
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
Hongkuan Zhou, Wei Cao, Aifen Sui +1
End-to-end autonomous driving, where the entire driving pipeline is replaced with a single neural network, has recently gained research attention because of its simpler structure a…
Sequential Spatial Network for Collision Avoidance in Autonomous Driving
Haichuan Li, Liguo Zhou, Zhenshan Bing +3
Several autonomous driving strategies have been applied to autonomous vehicles, especially in the collision avoidance area. The purpose of collision avoidance is achieved by adjust…