10 citations · 25 across the 9 of their papers we have counts for
9 papers
Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
Haoxuanye Ji, Pengpeng Liang, Erkang Cheng
Multi-camera-based 3D object detection has made notable progress in the past several years. However, we observe that there are cases (e.g. faraway regions) in which popular 2D obje…
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…
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
Shihao Feng, Pengpeng Liang, Jin Gao +1
Point cloud-based 3D object tracking is an important task in autonomous driving. Though great advances regarding Siamese-based 3D tracking have been made recently, it remains chall…
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…
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
Yifeng Bai, Zhirong Chen, Zhangjie Fu +3
3D lane detection is an integral part of autonomous driving systems. Previous CNN and Transformer-based methods usually first generate a bird's-eye-view (BEV) feature map from the…
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…
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
Naifan Li, Fan Song, Ying Zhang +2
Detection of rare objects (e.g., traffic cones, traffic barrels and traffic warning triangles) is an important perception task to improve the safety of autonomous driving. Training…
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs
Lang Peng, Zhirong Chen, Zhangjie Fu +2
Semantic segmentation in bird's eye view (BEV) is an important task for autonomous driving. Though this task has attracted a large amount of research efforts, it is still challengi…
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…