4.4k citations · 7k across the 60 of their papers we have counts for
63 papers
FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow
Wenchao Ding, Jieru Zhao, Yubin Chu +5
There is extensive literature on perceiving road structures by fusing various sensor inputs such as lidar point clouds and camera images using deep neural nets. Leveraging the late…
Graph-based Topology Reasoning for Driving Scenes
Tianyu Li, Li Chen, Huijie Wang +10
Understanding the road genome is essential to realize autonomous driving. This highly intelligent problem contains two aspects - the connection relationship of lanes, and the assig…
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
Xiwen Liang, Minzhe Niu, Jianhua Han +3
Multi-task learning has emerged as a powerful paradigm to solve a range of tasks simultaneously with good efficiency in both computation resources and inference time. However, thes…
NLIP: Noise-robust Language-Image Pre-training
Runhui Huang, Yanxin Long, Jianhua Han +4
Large-scale cross-modal pre-training paradigms have recently shown ubiquitous success on a wide range of downstream tasks, e.g., zero-shot classification, retrieval and image capti…
Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection
Yanxin Long, Jianhua Han, Runhui Huang +4
Inspired by the success of vision-language methods (VLMs) in zero-shot classification, recent works attempt to extend this line of work into object detection by leveraging the loca…
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Lewei Yao, Jianhua Han, Youpeng Wen +6
Open-world object detection, as a more general and challenging goal, aims to recognize and localize objects described by arbitrary category names. The recent work GLIP formulates t…