This paper deals with a scene recognition system in a robotics contex. The general problem is to match images with <I>a priori</I> descriptions. A typical mission would consist in identifying an object in an installation with a vision system situated at the end of a manipulator and with a human operator provided description, formulated in a pseudo-natural language, and possibly redundant. The originality of this work comes from the nature of the description, from the special attention given to the management of imprecision and uncertainty in the interpretation process and from the way to assess the description redundancy so as to reinforce the overall matching likelihood.
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
Department of Electronic Engineering, Tsinghua University（清华大学电子工程系）；Department of Computer Science and Engineering, Beihang University（北航计算机科学与工程学院）；Noah’s Ark Lab（诺亚实验室）；Department of Computer Science, University of Hong Kong（香港大学计算机科学系）
ScanFormer: Referring Expression Comprehension by Iteratively Scanning
College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院）；School of Software Technology, Zhejiang University（浙江大学软件学院）；Zhejiang-Singapore Innovation and Al Joint Research Lab（浙新创新与人工智能联合研究实验室）
AREA3D: Active Reconstruction Agent with Unified Feed-Forward 3D Perception and Vision-Language Guidance
Southern University of Science and Technology（南方科技大学）；Harvard University（哈佛大学）；California Institute of Technology（加州理工学院）；Massachusetts Institute of Technology（麻省理工学院）
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring
The Chinese University of Hong Kong (Shenzhen)（香港中文大学（深圳））；Shenzhen Research Institute of Big Data（深圳大数据研究院）；Southern University of Science and Technology（南方科技大学）
Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection
Robotics Systems Lab, ETH Zurich（苏黎世联邦理工学院机器人系统实验室）；Computer Vision and Geometry Group, ETH Zurich（苏黎世联邦理工学院计算机视觉与几何组）；Robotics and Perception Group, University of Zurich（苏黎世大学机器人与感知组）；Microsoft Mixed Reality and AI Lab（微软混合现实与人工智能实验室）
