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1567 result(s) for “Deep Learning for Visual Perception” Page 1 of 32
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Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception
Peng Gao, Qingzhao Zhu, Hongsheng Lu, Chuang Gan, Hao Zhang
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Deep Metric Learning for Visual Servoing: When Pose and Image Meet in Latent Space
Samuel Felton, Elisa Fromont, Eric Marchand
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Practical Visual Deep Imitation Learning Via Task-Level Domain Consistency
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
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Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan, Varun Agrawal, Marco Camurri, Frank Dellaert, Maurice Fallon
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Deep Unsupervised Visual Odometry Via Bundle Adjusted Pose Graph Optimization
Guoyu Lu
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GraspAda: Deep Grasp Adaptation through Domain Transfer
Yiting Chen, Junnan Jiang, Ruiqi Lei, Yasemin Bekiroglu, Fei Chen, Miao Li
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Implementation and Optimization of Grasping Learning with Dual-Modal Soft Gripper
lei zhao, Haoyue Liu, Feihan Li, X.Y. Ding, Yuhao Sun, Fuchun Sun, Jianhua Shan, Qi Ye, Lincheng Li, Bin Fang
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Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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Deep Neural Network Architecture Search for Accurate Visual Pose Estimation Aboard Nano-UAVs
Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
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Inverted Landing in a Small Aerial Robot Via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
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Learning Modular Robot Visual-Motor Locomotion Policies
Julian Whitman, Howie Choset
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Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Yuxuan Chen, Timothy Barfoot
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Deep Underwater Monocular Depth Estimation with Single-Beam Echosounder
Haowen Liu, Monika Roznere, Alberto Quattrini Li
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On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics
Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley
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Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning
Sangni Xu, Hao Xiong, Qiuxia Wu, Tingting Yao, Zhihui Wang, Zhiyong Wang
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Natural Language Instruction Understanding for Robotic Manipulation: A Multisensory Perception Approach
Weihua Wang, Xiaofei Li, Yanzhi Dong, Jun Xie, Di Guo, Huaping Liu
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MOFT: Monocular Odometry Based on Deep Depth and Careful Feature Selection and Tracking
Karlo Koledic;, Igor Cvi�ić, Ivan Markovic, Ivan Petrovic
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UDepth: Fast Monocular Depth Estimation for Visually-Guided Underwater Robots
Boxiao Yu, Jiayi Wu, Md Jahidul Islam
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Multi-Modal Interactive Perception in Human Control of Complex Objects
Rashida Nayeem, Salah Bazzi, mohsen sadeghi, Reza Sharif Razavian, Dagmar Sternad
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StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks
Hongyu Li, Zhengang Li, Neset Unver Akmandor, Huaizu Jiang, Yanzhi Wang, Taskin Padir
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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Stealthy Perception-Based Attacks on Unmanned Aerial Vehicles
Amir Khazraei, Haocheng Meng, Miroslav Pajic
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Bridging the Domain Gap for Multi-Agent Perception
Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, Jiaqi Ma
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Frontier Semantic Exploration for Visual Target Navigation
Bangguo Yu, Hamidreza Kasaei, Ming Cao
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Homography-Based Loss Function for Camera Pose Regression
Clémentin BOITTIAUX, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Vincent HUGEL
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External Camera-based Mobile Robot Pose Estimation for Collaborative Perception with Smart Edge Sensors
Simon Bultmann, Raphael Memmesheimer, Sven Behnke
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Reuse Your Features: Unifying Retrieval and Feature-Metric Alignment
Javier Morlana, J.M.M Montiel
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Transferring Implicit Knowledge of Non-Visual Object Properties across Heterogeneous Robot Morphologies
Gyan Tatiya, Jonathan Francis, Jivko Sinapov
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents That See and Hear
Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu
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AutoBag: Learning to Open Plastic Bags and Insert Objects
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu
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Control of Rough Terrain Vehicles Using Deep Reinforcement Learning
Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin
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Automatic Cell Rotation Method Based on Deep Reinforcement Learning
Huiying Gong, Yujie Zhang, Yaowei Liu, Qili Zhao, Xin Zhao, Mingzhu Sun
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao
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Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning
Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang
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Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Laura Zheng, Sanghyun Son, Ming C. Lin
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A Consistency-Based Loss for Deep Odometry through Uncertainty Propagation
Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad, Behzad Moshiri
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
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Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning
Kyowoon Lee, Seongun Kim, Jaesik Choi
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Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions
Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat
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Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari, Enrico Marchesini, Alessandro Farinelli
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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A Deep Learning Human Activity Recognition Framework for Socially Assistive Robots to Support Reablement of Older Adults
Fraser Robinson, Goldie Nejat
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