5 citations · 11 across the 5 of their papers we have counts for
5 papers
TopoHR: Hierarchical Centerline Representation for Cyclic Topology Reasoning in Driving Scenes with Point-to-Instance Relations
Yifeng Bai, Zhirong Chen, Bo Song +2
Topology reasoning is crucial for autonomous driving. Current methods primarily focus on instance-level learning for centerline detection, followed by a sequential module for topol…
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
Yifeng Bai, Zhirong Chen, Pengpeng Liang +2
In autonomous driving, accurate 3D lane detection using monocular cameras is important for downstream tasks. Recent CNN and Transformer approaches usually apply a two-stage model d…
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
Hengxu Zhang, Pengpeng Liang, Zhiyong Sun +2
Both CNN-based and Transformer-based object detection with bounding box representation have been extensively studied in computer vision and medical image analysis, but circular obj…
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo, Yuxin Wang, Kun Dong +4
Exploration with sparse rewards remains a challenging research problem in reinforcement learning (RL). Especially for sequential object manipulation tasks, the RL agent always rece…
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo, Kun Dong, Lili Zhao +3
Efficient and effective learning is one of the ultimate goals of the deep reinforcement learning (DRL), although the compromise has been made in most of the time, especially for th…