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1795 result(s) for “Deep Learning for Visual Perception” Page 1 of 36
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Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning
Christopher Niemann, David Philip Leins, Luca Lach, Robert Haschke
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Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception
Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li
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SuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data
Shan Lin, Albert Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip
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Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots
Siva Krishna Ravipati, Ehsan Latif, Suchendra Bhandarkar, Ramviyas Parasuraman
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Learning-On-The-Drive: Self-Supervised Adaptive Long-Range Perception for High-Speed Offroad Driving
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian Scherer
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Predicting Interaction Shape of Soft Continuum Robots Using Deep Visual Models
Yunqi Huang, Abdulaziz Y. Alkayas, Jialei Shi, Federico Renda, Helge Arne Wurdemann, Thomas George Thuruthel
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Deep Visual Odometry with Events and Frames
Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
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Deformable Objects Perception Is Just a Few Clicks Away � Dense Annotations from Sparse Inputs
Alessio Caporali, Kevin Galassi, Matteo Pantano, Gianluca Palli
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VRSO: Visual-Centric Reconstruction for Static Object Annotation
Chenyao Yu, Yingfeng Cai, Jiaxin Zhang, Wei Sui, Hui Kong, Cong Yang
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Visual Perception System for Autonomous Driving
Qi Zhang, Siyuan Gou, Wenbin Li
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StereoNavNet: Learning to Navigate Using Stereo Cameras with Auxiliary Occupancy Voxels
Hongyu Li, Taskin Padir, Huaizu Jiang
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Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks
Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata
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OmniNxt: A Fully Open-Source and Compact Aerial Robot with Omnidirectional Visual Perception
Peize LIU, Chen Feng, Yang XU, Yan NING, Hao XU, Shaojie Shen
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Temporal- and Viewpoint-Invariant Registration for Under-Canopy Footage using Deep-Learning-based Bird's-Eye View Prediction
Jiawei Zhou, Ruben Mascaro, Cesar Cadena Lerma, Margarita Chli, Lucas Teixeira
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ASY-VRNet: Waterway Panoptic Driving Perception Model Based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar
Runwei Guan, Shanliang Yao, Ka Lok Man, Xiaohui Zhu, Yong Yue, Jeremy Smith, Eng Gee Lim, Yutao Yue
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Text3DAug � Prompted Instance Augmentation for LiDAR Perception
Laurenz Reichardt, Luca Uhr, Oliver Wasenmüller
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DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping
Kutay Yilmaz, Matthias Niessner, Anastasiia Kornilova, Alexey Artemov
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DIVE: Deep Inertial-Only Velocity Aided Estimation for Quadrotors
Angad Bajwa, Charles Champagne Cossette, Mohammed Ayman Shalaby, James Richard Forbes
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Vision-Language Model-Based Physical Reasoning for Robot Liquid Perception
Wenqiang Lai, Tianwei Zhang, Tin Lun Lam, Yuan Gao
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Perception-Aware Full Body Trajectory Planning for Autonomous Systems Using Motion Primitives
Moritz Kuhne, Riccardo Giubilato, Martin J. Schuster, Maximo A. Roa
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TraKDis: A Transformer-Based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation
Wei Chen, Nicolas Rojas
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LF2SLAM: Learning-Based Features for Visual SLAM
Marco Legittimo, Francesco Crocetti, Mario Luca Fravolini, Giuseppe Mollica, Gabriele Costante
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ROBOVERINE: A human-inspired neural robotic process model of active visual search and scene grammar in naturalistic environments
Raul Grieben, Stephan Sehring, Jan Tekülve, John P. Spencer, Gregor Schöner
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Adaptive Visual-Aided 4D Radar Odometry through Transformer-Based Feature Fusion
Yuanfan Zhang, Renxiang XIAO, Ziyang Hong, Liang Hu, Jie Liu
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Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad
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Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments
Yuxiang Cui, Shuhao Ye, Xuecheng Xu, Hao Sha, Cheng Wang, Longzhong Lin, Yifei Yang, Jiyu Yu, Zhe Liu, Rong Xiong, Yue Wang
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Deeper Introspective SLAM: How to Avoid Tracking Failures Over Longer Routes?
Kanwal Naveed, Muhammad Latif Anjum, Wajahat Hussain, DONGHWAN LEE
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VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, amirreza payandeh, Xuesu Xiao
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D-VAT: End-To-End Visual Active Tracking for Micro Aerial Vehicles
Alberto Dionigi, Simone Felicioni, Mirko Leomanni, Gabriele Costante
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OVGNet: An Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping
Meng Li, Qi Zhao, Shuchang Lyu, Chunlei Wang, Yujing Ma, Guangliang Cheng, Chenguang Yang
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LEEPS: Learning End-To-End Legged Perceptive Parkour Skills on Challenging Terrains
Tangyu Qian, Hao Zhang, Zhangli Zhou, Hao Wang, Cai Mingyu, Zhen Kan
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Enhanced Language-Guided Robot Navigation with Panoramic Semantic Depth Perception and Cross-Modal Fusion
Liuyi Wang, Jiagui Tang, Zongtao He, Ronghao Dang, Chengju Liu, Qijun Chen
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Explainable Artificial Intelligence for Autonomous UAV Navigation
Didula Dissanayaka, Thumeera Ruwansiri Wanasinghe, Raymond G. Gosine
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SSL-RGB2IR: Semi-supervised RGB-to-IR Image-to-Image Translation for Enhancing Visual Task Training in Semantic Segmentation and Object Detection
Aniruddh Sikdar, Qiranul Saadiyean, Prahlad Anand, Suresh Sundaram
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Boosting 3D Visual Grounding by Object-Centric Referring Network
Ruilong Ren, Jian Cao, Weichen Xu, Tianhao Fu, Yilei Dong, Xinxin Xu, Zicong Hu, Xing Zhang
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GeoCluster: Enhancing Visual Place Recognition in Spatial Domain on Aerial Vehicle Platforms
Chao Chen, Mengfan He, Jun Wang, Ziyang Meng
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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez
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Keyframe Selection Via Deep Reinforcement Learning for Skeleton-Based Gesture Recognition
minggang gan, Jinting Liu, Yuxuan He, aobo chen, Qianzhao Ma
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Design, Localization, Perception, and Control for GPS-Denied Autonomous Aerial Grasping and Harvesting
ashish kumar, Laxmidhar Behera
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Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh
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Audio-Visual Traffic Light State Detection for Urban Robots
Sagar Gupta, Akansel Cosgun
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TinyLidarNet: 2D Lidar-Based End-To-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, QiTao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun
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SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition
Xijun Wang, Ruiqi Xian, Tianrui Guan, Fuxiao Liu, Dinesh Manocha
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A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier
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Occlusion Handling by Pushing for Enhanced Fruit Detection
Ege Gursoy, Dana Kulic, Andrea Cherubini
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Bird's-Eye-View Trajectory Planning of Multiple Robots using Continuous Deep Reinforcement Learning and Model Predictive Control
Kristian Ceder, Ze Zhang, Adam Burman, Ilya Kuangaliyev, Krister Mattsson, Gabriel Nyman, Arvid Petersén, Lukas Wisell, Knut Akesson
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Enhancing Safety Via Deep Reinforcement Learning in Trajectory Planning for Agile Flights within Unknown Environments
Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Cristiane Teixeira Vivaldini
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Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections
Zeyu Zhu, Shuai Wang, Huijing Zhao
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Learning Deep Dynamical Systems Using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
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Deep Ad-Hoc Sub-Team Partition Learning for Multi-Agent Air Combat Cooperation
Songyuan Fan, Haiyin Piao, Yi Hu, Feng Jiang, Roushu Yang
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