Vision-based lane detection (LD) is a key part of autonomous driving technology, and it is also a challenging problem. As one of the important constraints of scene composition, vanishing point (VP) may provide a useful clue for lane detection. In this paper, we proposed a new multi-task fusion network architecture for high-precision lane detection. Firstly, the ERFNet was used as the backbone to extract the hierarchical features of the road image. Then, the lanes were detected using image segmentation. Finally, combining the output of lane detection and the hierarchical features extracted by the backbone, the lane VP was predicted using heatmap regression. The proposed fusion strategy was tested using the public CULane dataset. The experimental results suggest that the lane detection accuracy of our method outperforms those of state-of-the-art (SOTA) methods.
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Hangzhou Dianzi University（杭州电子科技大学）
GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection
the School of Big Data and Statistics, Anhui University（安徽大学大数据与统计学院）；the School of Artificial Intelligence and Data Science, University of Science and Technology of China（中国科学技术大学人工智能与数据科学学院）；Institute of Dataspace, Hefei Comprehensive National Science Center（合肥综合性国家科学中心数据空间研究院）；the College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算机与数据科学学院）；the School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University（深圳大学医学院生物医学工程学院）
ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments
Robotics and Control Laboratory, the School of Advanced Manufacturing and Robotics, and the State Key Laboratory of Turbulence and Complex Systems, Peking University（机器人与控制实验室、先进制造与机器人学院、湍流与复杂系统国家重点实验室，北京大学）；Defense Innovation Institute, Academy of Military Sciences（国防创新研究院，军事科学院）；Tianjin Artificial Intelligence Innovation Center（天津人工智能创新中心）；Harbin Institute of Technology（哈尔滨工业大学）
Dense Hybrid Proposal Modulation for Lane Detection
Beijing University of Posts and Telecommunications（北京邮电大学）；Tsinghua University（清华大学）；Beijing National Research Center for Information Science and Technology（北京信息科学与技术国家研究中心）
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model
Xi’an University of Architecture and Technology（西安建筑科技大学）；School of Automation, Northwestern Polytechnical University（西北工业大学自动化学院）；School of Intelligence Science and Technology, Peking University（北京大学智能科学与技术学院）
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China（香港理工大学电子与计算机工程系）；Voyager Research, Didi Chuxing, China（维杰研究，滴滴出行，中国）；Zhuoyu Technology Co., Ltd., Shenzhen, China（珠宇科技有限公司，深圳，中国）
MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence
AIDAS Laboratory, Seoul National University（首尔大学AIDAS实验室）；Samsung Changwon Hospital（三星昌原医院）；Samsung Medical Center（三星医疗中心）；NVIDIA, Santa Clara, USA（英伟达（美国圣克拉拉））
From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper
Department of Computer Science, THUAI, BNRist, Tsinghua University, Beijing, China（清华大学北京研究院，清华大学计算机科学系，北京，中国）；Dalian University of Technology, Dalian, China（大连理工大学，大连，中国）；Apple, Beijing, China（苹果公司，北京，中国）；Hong Kong University of Science and Technology (Guang Zhou), Guang Zhou, China（香港科技大学（广州），广州，中国）；University of Manchester, Manchester, UK（曼彻斯特大学，曼彻斯特，英国）
Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning
Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR)（高性能计算研究所，科技研究局）；University of Minnesota（明尼苏达大学）；Microsoft Research Asia Singapore（微软亚洲研究院新加坡分部）；Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（Mohamed bin Zayed人工智能大学）；Australian National University（澳大利亚国立大学）；Harbin Institute of Technology（哈尔滨工业大学）
