Visual search is an important strategy of the human visual system for fast scene perception. The guided search theory suggests that the global layout or other top-down sources of scenes play a crucial role in guiding object searching. In order to verify the specific roles of scene layout and regional cues in guiding visual attention, we executed a psychophysical experiment to record the human fixations on line drawings of natural scenes with an eye-tracking system in this work. We collected the human fixations of ten subjects from 498 natural images and of another ten subjects from the corresponding 996 human-marked line drawings of boundaries (two boundary maps per image) under free-viewing condition. The experimental results show that with the absence of some basic features like color and luminance, the distribution of the fixations on the line drawings has a high correlation with that on the natural images. Moreover, compared to the basic cues of regions, subjects pay more attention to the closed regions of line drawings which are usually related to the dominant objects of the scenes. Finally, we built a computational model to demonstrate that the fixation information on the line drawings can be used to significantly improve the performances of classical bottom-up models for fixation prediction in natural scenes. These results support that Gestalt features and scene layout are important cues for guiding fast visual object searching.
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
KTH Royal Institute of Technology（瑞典皇家理工学院）；Jilin University（吉林大学）；Tokyo Institute of Technology（东京工业大学）；Japan Advanced Institute of Science and Technology (JAIST)（日本先进科学技术学院）
Line Drawing Guided Progressive Inpainting of Mural Damage
United International College of Beijing Normal University - HongKong Baptist University（北京师范大学-香港浸会大学联合国际学院）；Wuhan University（武汉大学）；Cleveland State University（克利夫兰州立大学）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）
A Holistic Representation Guided Attention Network for Scene Text Recognition
Northwestern Polytechnical University（西北工业大学）；National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology（国家空天地海一体化大数据应用技术国家工程实验室）；The University of Adelaide（阿德莱德大学）；MinSheng FinTech Corp. Ltd.（民生金融科技股份有限公司）
LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment
ShanghaiTech University（上海科技大学）；University of Pennsylvania（宾夕法尼亚大学）；The University of Hong Kong（香港大学）；University of Adelaide（阿德莱德大学）；University of Science and Technology of China（中国科学技术大学）；The Chinese University of Hong Kong（香港中文大学）
LSVG: Language-Guided Scene Graphs with 2D-Assisted Multi-Modal Encoding for 3D Visual Grounding
School of Automation Science and Engineering, South China University of Technology（自动化科学与工程学院，华南理工大学）；School of Future Technology, South China University of Technology（未来技术学院，华南理工大学）
Academy for Engineering & Technology, Fudan University（复旦大学工程与技术学院）；School of Computer Science, Fudan University（复旦大学计算机科学技术学院）；Yiwu Research Institute, Fudan University（复旦大学义乌研究院）
Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance
School of Computer Science & Technology, Beijing Institute of Technology（北京理工大学计算机科学与技术学院）；National Key Laboratory of General Artificial Intelligence, BIGAI（通用人工智能全国重点实验室（BIGAI））；Dept. of Automation, Tsinghua University（清华大学自动化系）；CFCS, School of Computer Science, Peking University（北京大学计算机学院CFCS）；Institute for AI, Peking University（北京大学人工智能研究院）；Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing（北京理工大学嘉兴长三角研究院）
Towards Geometric and Textural Consistency 3D Scene Generation via Single Image-guided Model Generation and Layout Optimization
Harbin Institute of Technology, Shenzhen（哈尔滨工业大学深圳分校）；Peng Cheng Laboratory（鹏城实验室）；Harbin Institute of Technology（哈尔滨工业大学）；Harbin Institute of Technology, Suzhou Research Institute（哈尔滨工业大学苏州研究院）
Event-guided 3D Gaussian Splatting for Dynamic Human and Scene Reconstruction
College of Optical Science and Engineering, Zhejiang University, China（浙江大学光学工程学院）；School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore（南洋理工大学电子与电气工程学院）；School of Artificial Intelligence and Robotics, Hunan University, China（湖南大学人工智能与机器人学院）
