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ORCIDMartin Jägersand
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2024
[j14]Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood:
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning. RLJ 4: 1841-1854 (2024)- [c122]Chen Jiang, Yuchen Yang, Martin Jägersand:
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation. ICRA 2024: 6620-6626 - [c121]Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jägersand, Justus H. Piater, Samuele Tosatto:
Local Linearity is All You Need (in Data-Driven Teleoperation). IROS 2024: 12148-12155 - [c120]Sait Aktürk, Justin Valentine, Junaid Ahmad, Martin Jägersand:
Immersive Human-in-the-Loop Control: Real-Time 3D Surface Meshing and Physics Simulation. IROS 2024: 12176-12182 - [i47]Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood:
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning. CoRR abs/2407.00324 (2024) - [i46]Chen Jiang, Allie Luo, Martin Jägersand:
Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints. CoRR abs/2409.11518 (2024) - [i45]Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jägersand, Justus H. Piater, Samuele Tosatto:
Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation. CoRR abs/2410.21406 (2024) - [i44]Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jägersand:
Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators. CoRR abs/2410.21441 (2024) - [i43]Sait Aktürk, Justin Valentine, Junaid Ahmad, Martin Jägersand:
Immersive Human-in-the-Loop Control: Real-Time 3D Surface Meshing and Physics Simulation. CoRR abs/2412.13752 (2024) - 2023
- [c119]Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jägersand:
Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators. ICRA 2023: 857-863 - [c118]Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto:
Deep Probabilistic Movement Primitives with a Bayesian Aggregator. IROS 2023: 3704-3711 - [c117]Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto:
Dynamic Decision Frequency with Continuous Options. IROS 2023: 7545-7552 - [i42]Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto:
Deep Probabilistic Movement Primitives with a Bayesian Aggregator. CoRR abs/2307.05141 (2023) - [i41]Chen Jiang, Yuchen Yang, Martin Jägersand:
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation. CoRR abs/2309.09183 (2023) - [i40]Chen Jiang, Martin Jägersand:
Bridging Low-level Geometry to High-level Concepts in Visual Servoing of Robot Manipulation Task Using Event Knowledge Graphs and Vision-Language Models. CoRR abs/2310.03932 (2023) - 2022
- [c116]Jun Jin, Martin Jägersand:
Generalizable task representation learning from human demonstration videos: a geometric approach. ICRA 2022: 2504-2510 - [c115]Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand:
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. ICRA 2022: 3616-3623 - [c114]Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand:
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. ICRA 2022: 6999-7006 - [c113]Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans:
A Simple Decentralized Cross-Entropy Method. NeurIPS 2022 - [i39]Jun Jin, Martin Jägersand:
Generalizable task representation learning from human demonstration videos: a geometric approach. CoRR abs/2202.13604 (2022) - [i38]Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto:
Variable-Decision Frequency Option Critic. CoRR abs/2212.04407 (2022) - [i37]Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans:
A Simple Decentralized Cross-Entropy Method. CoRR abs/2212.08235 (2022) - 2021
- [j13]Yongxin Ge, Xiaolei Qin, Dan Yang, Martin Jägersand:
Deep snippet selective network for weakly supervised temporal action localization. Pattern Recognit. 110: 107686 (2021) - [c112]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. CVPR Workshops 2021: 2825-2834 - [c111]Bowen Xie, Mingjie Han, Jun Jin, Martin Barczyk, Martin Jägersand:
A Generative Model-Based Predictive Display for Robotic Teleoperation. ICRA 2021: 2407-2413 - [c110]Michael Przystupa, Masood Dehghan, Martin Jägersand, A. Rupam Mahmood:
Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control. ICRA 2021: 14276-14283 - [c109]Atefeh Shahroudnejad, Xuebin Qin
, Sharanya Balachandran, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Jeevesh Kapur, Martin Jägersand, Michelle Noga, Kumaradevan Punithakumar:
TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. MICCAI (1) 2021: 656-667 - [i36]Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand:
Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs? CoRR abs/2101.02750 (2021) - [i35]Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jägersand, Ling Shao:
Boundary-Aware Segmentation Network for Mobile and Web Applications. CoRR abs/2101.04704 (2021) - [i34]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. CoRR abs/2103.11015 (2021) - [i33]Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand:
A Quantitative Analysis of Activities of Daily Living: Insights into Improving Functional Independence with Assistive Robotics. CoRR abs/2104.03892 (2021) - [i32]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving. CoRR abs/2105.03533 (2021) - [i31]Michael Przystupa, Masood Dehghan, Martin Jägersand, A. Rupam Mahmood:
Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control. CoRR abs/2106.06083 (2021) - 2020
- [j12]Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand:
U2-Net: Going deeper with nested U-structure for salient object detection. Pattern Recognit. 106: 107404 (2020) - [c108]Chen Jiang, Martin Jägersand:
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks. CASE 2020: 1447-1452 - [c107]Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand:
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. ICRA 2020: 6979-6985 - [c106]Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan, Martin Jägersand:
Visual Geometric Skill Inference by Watching Human Demonstration. ICRA 2020: 8985-8991 - [c105]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. IJCAI 2020: 860-867 - [c104]Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand:
A Geometric Perspective on Visual Imitation Learning. IROS 2020: 5194-5200 - [c103]Chen Jiang, Masood Dehghan, Martin Jägersand:
Understanding Contexts Inside Robot and Human Manipulation Tasks through Vision-Language Model and Ontology System in Video Streams. IROS 2020: 8366-8372 - [i30]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs. CoRR abs/2001.09540 (2020) - [i29]Chen Jiang, Masood Dehghan, Martin Jägersand:
Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream. CoRR abs/2003.01163 (2020) - [i28]Jun Jin, Laura Petrich, Masood Dehghan, Martin Jägersand:
A Geometric Perspective on Visual Imitation Learning. CoRR abs/2003.02768 (2020) - [i27]Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand:
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection. CoRR abs/2005.09007 (2020) - [i26]Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand:
Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning. CoRR abs/2011.05857 (2020)
2010 – 2019
- 2019
- [c102]Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, Martin Jägersand:
BASNet: Boundary-Aware Salient Object Detection. CVPR 2019: 7479-7489 - [c101]Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand:
AMP: Adaptive Masked Proxies for Few-Shot Segmentation. ICCV 2019: 5248-5257 - [c100]Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. ICRA 2019: 50-56 - [c99]Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand:
Online Object and Task Learning via Human Robot Interaction. ICRA 2019: 2132-2138 - [c98]Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand:
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. ICRA 2019: 6624-6630 - [i25]Jun Jin, Masood Dehghan, Laura Petrich, Steven Weikai Lu, Martin Jägersand:
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration. CoRR abs/1903.00634 (2019) - [i24]Jun Jin, Laura Petrich, Shida He, Masood Dehghan, Martin Jägersand:
Long range teleoperation for fine manipulation tasks under time-delay network conditions. CoRR abs/1903.09189 (2019) - [i23]Chen Jiang, Steven Weikai Lu, Martin Jägersand:
Constructing Dynamic Knowledge Graph for Visual Semantic Understanding and Applications in Autonomous Robotics. CoRR abs/1909.07459 (2019) - [i22]Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jägersand:
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans. CoRR abs/1911.03074 (2019) - [i21]Jun Jin, Laura Petrich, Zichen Zhang, Masood Dehghan, Martin Jägersand:
Visual Geometric Skill Inference by Watching Human Demonstration. CoRR abs/1911.04418 (2019) - [i20]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
One-Shot Weakly Supervised Video Object Segmentation. CoRR abs/1912.08936 (2019) - 2018
- [j11]Xuebin Qin, Shida He, Xiucheng Yang, Masood Dehghan, Qiming Qin, Martin Jägersand:
Accurate Outline Extraction of Individual Building From Very High-Resolution Optical Images. IEEE Geosci. Remote. Sens. Lett. 15(11): 1775-1779 (2018) - [c97]Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand, Hong Zhang:
A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving. CVPR Workshops 2018: 587-597 - [c96]Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand:
RTSeg: Real-Time Semantic Segmentation Comparative Study. ICIP 2018: 1603-1607 - [c95]Shida He, Xuebin Qin, Zichen Zhang, Martin Jägersand:
Incremental 3D Line Segment Extraction from Semi-dense SLAM. ICPR 2018: 1658-1663 - [c94]Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan, Jun Jin, Martin Jägersand:
Real-Time Edge Template Tracking via Homography Estimation. IROS 2018: 607-612 - [c93]Mennatullah Siam, Sara Elkerdawy, Mostafa Gamal, Moemen Abdel-Razek, Martin Jägersand, Hong Zhang:
Real-Time Segmentation with Appearance, Motion and Geometry. IROS 2018: 5793-5800 - [c92]Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-detection: A cascade network for volumetric medical image segmentation. ISBI 2018: 1356-1359 - [c91]Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko:
End-to-end detection-segmentation network with ROI convolution. ISBI 2018: 1509-1512 - [c90]Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab:
MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving. ITSC 2018: 2859-2864 - [c89]Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan, Martin Jägersand:
ByLabel: A Boundary Based Semi-Automatic Image Annotation Tool. WACV 2018: 1804-1813 - [i19]Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko:
End-to-end detection-segmentation network with ROI convolution. CoRR abs/1801.02722 (2018) - [i18]Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand:
RTSeg: Real-time Semantic Segmentation Comparative Study. CoRR abs/1803.02758 (2018) - [i17]Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand:
Online Tool and Task learning via Human Robot Interaction. CoRR abs/1809.08722 (2018) - [i16]Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand:
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. CoRR abs/1810.00159 (2018) - [i15]Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. CoRR abs/1810.07733 (2018) - 2017
- [j10]Geoff Fink, Hui Xie, Alan F. Lynch, Martin Jägersand:
Dynamic Visual Servoing for a Quadrotor Using a Virtual Camera. Unmanned Syst. 5(1): 1-17 (2017) - [c88]Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan, Martin Jägersand:
Real-Time Salient Closed Boundary Tracking using Perceptual Grouping and Shape Priors. BMVC 2017 - [c87]Diego Rodriguez, Camilo A. Perez, Martin Jägersand, Pablo A. Figueroa:
A comparison of smartphone interfaces for teleoperation of robot arms. CLEI 2017: 1-8 - [c86]Mennatullah Siam, Abhineet Singh, Camilo Perez, Martin Jägersand:
4-DoF Tracking for Robot Fine Manipulation Tasks. CRV 2017: 329-336 - [c85]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray:
Convolutional gated recurrent networks for video segmentation. ICIP 2017: 3090-3094 - [c84]Camilo Perez Quintero, Masood Dehghan, Oscar A. Ramirez, Marcelo H. Ang Jr., Martin Jägersand:
Flexible virtual fixture interface for path specification in tele-manipulation. ICRA 2017: 5363-5368 - [c83]Sepehr Valipour, Camilo Perez Quintero, Martin Jägersand:
Incremental learning for robot perception through HRI. IROS 2017: 2772-2777 - [c82]Abhineet Singh, Martin Jägersand:
Modular tracking framework: A fast library for high precision tracking. IROS 2017: 3785-3790 - [c81]Xuebin Qin, Shida He, Camilo Perez Quintero, Abhineet Singh, Masood Dehghan, Martin Jägersand:
Real-time salient closed boundary tracking via line segments perceptual grouping. IROS 2017: 4284-4289 - [c80]Mennatullah Siam, Sara Elkerdawy, Martin Jägersand, Senthil Kumar Yogamani:
Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges. ITSC 2017: 1-8 - [c79]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray, Senthil Kumar Yogamani:
Convolutional gated recurrent networks for video semantic segmentation in automated driving. ITSC 2017: 1-7 - [c78]Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand:
A Deep Level Set Method for Image Segmentation. DLMIA/ML-CDS@MICCAI 2017: 126-134 - [c77]Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray:
Recurrent Fully Convolutional Networks for Video Segmentation. WACV 2017: 29-36 - [c76]Abhineet Singh, Mennatullah Siam, Martin Jägersand:
Unifying Registration Based Tracking: A Case Study with Structural Similarity. WACV 2017: 100-110 - [i14]Sepehr Valipour, Camilo Perez Quintero, Martin Jägersand:
Incremental Learning for Robot Perception through HRI. CoRR abs/1701.04693 (2017) - [i13]Mennatullah Siam, Abhineet Singh, Camilo Perez Quintero, Martin Jägersand:
4-DoF Tracking for Robot Fine Manipulation Tasks. CoRR abs/1703.01698 (2017) - [i12]Xuebin Qin, Shida He, Camilo Perez Quintero, Abhineet Singh, Masood Dehghan, Martin Jägersand:
Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping. CoRR abs/1705.00360 (2017) - [i11]Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand:
A deep level set method for image segmentation. CoRR abs/1705.06260 (2017) - [i10]Mennatullah Siam, Sara Elkerdawy, Martin Jägersand, Senthil Kumar Yogamani:
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges. CoRR abs/1707.02432 (2017) - [i9]Shida He, Xuebin Qin, Zichen Zhang, Martin Jägersand:
3D Line Segments Extraction from Semi-dense SLAM. CoRR abs/1708.03275 (2017) - [i8]Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab:
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving. CoRR abs/1709.04821 (2017) - [i7]Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation. CoRR abs/1711.00139 (2017) - 2016
- [j9]Hui Xie, Alan F. Lynch, Martin Jägersand:
Dynamic IBVS of a rotary wing UAV using line features. Robotica 34(9): 2009-2026 (2016) - [j8]Hui Xie, Geoff Fink, Alan F. Lynch, Martin Jägersand:
Adaptive visual servoing of UAVs using a virtual camera. IEEE Trans. Aerosp. Electron. Syst. 52(5): 2529-2538 (2016) - [j7]Karteek Popuri, Dana Cobzas, Nina Esfandiari, Vickie E. Baracos, Martin Jägersand:
Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle. IEEE Trans. Medical Imaging 35(2): 512-520 (2016) - [c75]Abhineet Singh, Ankush Roy, Xi Zhang, Martin Jägersand:
Modular Decomposition and Analysis of Registration Based Trackers. CRV 2016: 85-92 - [c74]Oscar A. Ramirez, Martin Jägersand:
Practical Considerations of Uncalibrated Visual Servoing. CRV 2016: 164-169 - [c73]Xuebin Qin, Martin Jägersand, Xiucheng Yang, Jun Wang:
Building facade recognition from aerial images using Delaunay Triangulation induced feature perceptual grouping. ICPR 2016: 3368-3373 - [c72]Mona Gridseth, Oscar A. Ramirez, Camilo Perez Quintero, Martin Jägersand:
ViTa: Visual task specification interface for manipulation with uncalibrated visual servoing. ICRA 2016: 3434-3440 - [c71]Sepehr Valipour, Mennatullah Siam, Eleni Stroulia, Martin Jägersand:
Parking-stall vacancy indicator system, based on deep convolutional neural networks. WF-IoT 2016: 655-660 - [i6]Abhineet Singh, Martin Jägersand:
Modular Tracking Framework: A Unified Approach to Registration based Tracking. CoRR abs/1602.09130 (2016) - [i5]Abhineet Singh, Ankush Roy, Xi Zhang, Martin Jägersand:
Modular Decomposition and Analysis of Registration based Trackers. CoRR abs/1603.01292 (2016) - [i4]Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray:
Recurrent Fully Convolutional Networks for Video Segmentation. CoRR abs/1606.00487 (2016) - [i3]Sepehr Valipour, Mennatullah Siam, Eleni Stroulia, Martin Jägersand:
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks. CoRR abs/1606.09367 (2016) - [i2]Abhineet Singh, Martin Jägersand:
Registration based Tracking with Structural Similarity : A Unifying Formulation. CoRR abs/1607.04673 (2016) - [i1]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray:
Convolutional Gated Recurrent Networks for Video Segmentation. CoRR abs/1611.05435 (2016) - 2015
- [c70]Xi Zhang, Abhineet Singh, Martin Jägersand:
RKLT: 8 DOF Real-Time Robust Video Tracking Combing Coarse Ransac Features and Accurate Fast Template Registration. CRV 2015: 70-77 - [c69]Mona Gridseth, Katharina Hertkorn, Martin Jägersand:
On Visual Servoing to Improve Performance of Robotic Grasping. CRV 2015: 245-252 - [c68]Ankush Roy, Xi Zhang, Nina Wolleb, Camilo Perez Quintero, Martin Jägersand:
Tracking benchmark and evaluation for manipulation tasks. ICRA 2015: 2448-2453 - [c67]Huan Hu, Camilo Perez Quintero, Hanxu Sun, Martin Jägersand:
On-line reconstruction based predictive display in unknown environment. ICRA 2015: 4446-4451 - [c66]Camilo Perez Quintero, Oscar A. Ramirez, Martin Jägersand:
VIBI: Assistive vision-based interface for robot manipulation. ICRA 2015: 4458-4463 - [c65]Camilo Perez Quintero, Romeo Tatsambon Fomena, Mona Gridseth, Martin Jägersand:
Visual pointing gestures for bi-directional human robot interaction in a pick-and-place task. RO-MAN 2015: 349-354 - [c64]Yongxin Ge, Chen Min, Martin Jägersand, Dan Yang:
Active appearance model search using partial least squares regression. VCIP 2015: 1-4 - 2014
- [c63]Hui Xie, Alan F. Lynch, Martin Jägersand:
IBVS of a rotary wing UAV using line features. CCECE 2014: 1-6 - [c62]Camilo Perez Quintero, Romeo Tatsambon Fomena, Azad Shademan, Oscar A. Ramirez, Martin Jägersand:
Interactive Teleoperation Interface for Semi-autonomous Control of Robot Arms. CRV 2014: 357-363 - [c61]Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand:
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. MLMI 2014: 25-32 - 2013
- [c60]Romeo Tatsambon Fomena, Camilo Perez Quintero, Mona Gridseth, Martin Jägersand:
Towards Practical Visual Servoing in Robotics. CRV 2013: 303-310 - [c59]Camilo Perez Quintero, Romeo Tatsambon Fomena, Azad Shademan, Nina Wolleb, Travis Dick, Martin Jägersand:
SEPO: Selecting by pointing as an intuitive human-robot command interface. ICRA 2013: 1166-1171 - [c58]Karteek Popuri, Dana Cobzas, Martin Jägersand, Nina Esfandiari, Vickie E. Baracos:
FEM-based automatic segmentation of muscle and fat tissues from thoracic CT images. ISBI 2013: 149-152 - [c57]Karteek Popuri, Dana Cobzas, Martin Jägersand:
A FEM deformable mesh for active region segmentation. ISBI 2013: 1110-1113 - [c56]Karteek Popuri, Dana Cobzas, Martin Jägersand:
A Variational Formulation for Discrete Registration. MICCAI (3) 2013: 187-194 - [c55]Travis Dick, Camilo Perez Quintero, Martin Jägersand, Azad Shademan:
Realtime Registration-Based Tracking via Approximate Nearest Neighbour Search. Robotics: Science and Systems 2013 - 2012
- [j6]Karteek Popuri, Dana Cobzas, Albert Murtha, Martin Jägersand:
3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set. Int. J. Comput. Assist. Radiol. Surg. 7(4): 493-506 (2012) - [j5]Parisa Mosayebi, Dana Cobzas, Albert Murtha, Martin Jägersand:
Tumor invasion margin on the Riemannian space of brain fibers. Medical Image Anal. 16(2): 361-373 (2012) - [c54]Azad Shademan, Martin Jägersand:
Robust sampling-based planning for uncalibrated visual servoing. IROS 2012: 2663-2669 - [c53]Alejandro Hernandez Herdocia, Azad Shademan, Martin Jägersand:
Unimodal asymmetric interface for teleoperation of mobile manipulators: A user study. IROS 2012: 5214-5219 - 2011
- [c52]Neil Birkbeck, Dana Cobzas, Martin Jägersand:
Basis constrained 3D scene flow on a dynamic proxy. ICCV 2011: 1967-1974 - 2010
- [c51]Karteek Popuri, Dana Cobzas, Martin Jägersand:
Fast FEM-Based Non-Rigid Registration. CRV 2010: 378-385 - [c50]Parisa Mosayebi, Dana Cobzas, Martin Jägersand, Albert Murtha:
Stability effects of finite difference methods on a mathematical tumor growth model. CVPR Workshops 2010: 125-132 - [c49]Adam Rachmielowski, Neil Birkbeck, Martin Jägersand:
Performance evaluation of monocular predictive display. ICRA 2010: 5309-5314 - [c48]Azad Shademan, Amir Massoud Farahmand, Martin Jägersand:
Robust Jacobian estimation for uncalibrated visual servoing. ICRA 2010: 5564-5569 - [c47]David Lovi, Neil Birkbeck, Alejandro Hernandez Herdocia, Adam Rachmielowski, Martin Jägersand, Dana Cobzas:
Predictive display for mobile manipulators in unknown environments using online vision-based monocular modeling and localization. IROS 2010: 5792-5798 - [c46]Azad Shademan, Martin Jägersand:
Three-view uncalibrated visual servoing. IROS 2010: 6234-6239 - [p2]Dana Cobzas, Cameron Upright, Martin Jägersand:
Wavelet-Based Inverse Light and Reflectance from Images of a Known Object. Image and Geometry Processing for 3-D Cinematography 2010: 215-238 - [p1]Martin Jägersand, Neil Birkbeck, Dana Cobzas:
View Dependent Texturing Using a Linear Basis. Image and Geometry Processing for 3-D Cinematography 2010: 285-305
2000 – 2009
- 2009
- [j4]Dana Cobzas, Martin Jägersand, Peter F. Sturm:
3D SSD tracking with estimated 3D planes. Image Vis. Comput. 27(1-2): 69-79 (2009) - [c45]Azad Shademan, Amir Massoud Farahmand, Martin Jägersand:
Towards Learning Robotic Reaching and Pointing: An Uncalibrated Visual Servoing Approach. CRV 2009: 229-236 - [c44]Neil Birkbeck, Dana Cobzas, Martin Jägersand:
Tracking human joint motion for turntable-based static model reconstruction. ICCV Workshops 2009: 1825-1832 - [c43]Amir Massoud Farahmand, Azad Shademan, Martin Jägersand, Csaba Szepesvári:
Model-based and model-free reinforcement learning for visual servoing. ICRA 2009: 2917-2924 - [c42]Dana Cobzas, Parisa Mosayebi, Albert Murtha, Martin Jägersand:
Tumor Invasion Margin on the Riemannian Space of Brain Fibers. MICCAI (1) 2009: 531-539 - [c41]Karteek Popuri, Dana Cobzas, Martin Jägersand, Sirish L. Shah, Albert Murtha:
3D variational brain tumor segmentation on a clustered feature set. Image Processing 2009: 72591N - [c40]Neil Birkbeck, Dana Cobzas, Martin Jägersand, Albert Murtha, Tibor Kesztyues:
An interactive graph cut method for brain tumor segmentation. WACV 2009: 1-7 - 2008
- [c39]Adam Rachmielowski, Neil Birkbeck, Martin Jägersand, Dana Cobzas:
Realtime Visualization of Monocular Data for 3D Reconstruction. CRV 2008: 196-202 - 2007
- [c38]Cameron Upright, Dana Cobzas, Martin Jägersand:
Wavelet-based Light Reconstruction from a Single Image. CRV 2007: 305-312 - [c37]Dana Cobzas, Neil Birkbeck, Mark Schmidt, Martin Jägersand, Albert Murtha:
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set. ICCV 2007: 1-8 - [c36]Simon Léonard, Martin Jägersand:
On with the Visuomotor Function: A 6DOF Adaptive Approach for Modeling Image-Based Variations and Visual Servoing. ICRA 2007: 2829-2834 - [c35]Amir Massoud Farahmand, Azad Shademan, Martin Jägersand:
Global visual-motor estimation for uncalibrated visual servoing. IROS 2007: 1969-1974 - 2006
- [c34]Neil Birkbeck, Dana Cobzas, Martin Jägersand:
Object Centered Stereo: Displacement Map Estimation Using Texture and Shading. 3DPVT 2006: 790-797 - [c33]Adam Rachmielowski, Dana Cobzas, Martin Jägersand:
Robust SSD tracking with incremental 3D structure estimation. CRV 2006: 12 - [c32]Neil Birkbeck, Dana Cobzas, Peter F. Sturm, Martin Jägersand:
Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints. ECCV (1) 2006: 536-549 - [c31]Simon Léonard, Martin Jägersand:
Adaptive Control for Estimating Translations from Image-based Variations. ICRA 2006: 4106-4111 - 2005
- [j3]Dana Cobzas, Martin Jägersand, Hong Zhang:
A Panoramic Model for Remote Robot Environment Mapping and Predictive Display. Int. J. Robotics Autom. 20(1) (2005) - [c30]Masoud Shahamiri, Martin Jägersand:
Singularity Avoidance in Uncalibrated Visual Servoing. CRV 2005: 192-199 - [c29]Dana Cobzas, Martin Jägersand:
Tracking and Predictive Display for a Remote Operated Robot using Uncalibrated Video. ICRA 2005: 1847-1852 - [c28]Simon Léonard, Martin Jägersand:
Incremental Learning for Mapping Image Variations to Actions. ICRA 2005: 4224-4229 - [c27]Masoud Shahamiri, Martin Jägersand:
Uncalibrated visual servoing using a biased Newton method for on-line singularity detection and avoidance. IROS 2005: 3953-3958 - 2004
- [c26]Neil Birkbeck, Martin Jägersand:
Visual Tracking Using Active Appearance Models. CRV 2004: 2-9 - [c25]Simon Léonard, Martin Jägersand:
Approximating the Visuomotor Function for Visual Servoing. CRV 2004: 112-119 - [c24]Zhenyuan Deng, Martin Jägersand:
Evaluation of Model Independent Image-Based Visual Servoing. CRV 2004: 138-144 - [c23]Martin Jägersand, Dana Cobzas, Keith Yerex:
Modulating View-dependent Textures. Eurographics (Short Presentations) 2004 - [c22]Keith Yerex, Neil Birkbeck, Dana Cobzas, Martin Jägersand:
A Quick and Automatic Image Based Modeling and Rendering System. Eurographics (Short Presentations) 2004 - [c21]Simon Léonard, Martin Jägersand:
Learning based visual servoing. IROS 2004: 680-685 - [c20]Dana Cobzas, Martin Jägersand:
3D SSD Tracking from Uncalibrated Video. SCVMA 2004: 25-37 - [c19]Keith Yerex, Martin Jägersand:
Displacement mapping with ray-casting in hardware. SIGGRAPH Sketches 2004: 149 - 2003
- [c18]Dana Cobzas, Hong Zhang, Martin Jägersand:
Image-based localization with depth-enhanced image map. ICRA 2003: 1570-1575 - [c17]Keith Yerex, Dana Cobzas, Martin Jägersand:
Predictive display models for tele-manipulation from uncalibrated camera-capture of scene geometry and appearance. ICRA 2003: 2812-2817 - [c16]Zhenyuan Deng, Martin Jägersand:
Predictive display system for tele-manipulation using image-based modeling and rendering. IROS 2003: 2797-2802 - [c15]Simon Léonard, Martin Jägersand:
Tracking the Pose of Objects through Subspace. SCIA 2003: 371-378 - [c14]Dana Cobzas, Martin Jägersand:
A Comparison of Viewing Geometries for Augmented Reality. SCIA 2003: 501-508 - [c13]Dana Cobzas, Martin Jägersand, Keith Yerex:
Editing Real World Scenes: Augmented Reality with Image-based Rendering. VR 2003: 291-292 - [c12]Darius Burschka, Gregory D. Hager, Zachary Dodds, Martin Jägersand, Dana Cobzas, Keith Yerex:
Recent Methods for Image-Based Modeling and Rendering. VR 2003: 299 - 2002
- [j2]Dana Cobzas, Keith Yerex, Martin Jägersand:
Dynamic Textures for Image-based Rendering of Fine-Scale 3D Structure and Animation of Non-rigid Motion. Comput. Graph. Forum 21(3): 493-502 (2002) - [c11]Dana Cobzas, Martin Jägersand:
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion. ECCV (2) 2002: 415-432 - [c10]Dana Cobzas, Hong Zhang, Martin Jägersand:
A Comparative Analysis of Geometric and Image-Based Volumetric and Intensity Data Registration Algorithms. ICRA 2002: 2506-2511 - 2001
- [j1]Martin Jägersand:
Image-based predictive display for high d.o.f. uncalibrated tele-manipulation using affine and intensity subspace models. Adv. Robotics 14(8): 683-701 (2001) - 2000
- [c9]Martin Jägersand:
Image based Animation from Learned Visual-Motor Models. CA 2000: 43-48 - [c8]Andreas Pichler, Martin Jägersand:
Uncalibrated hybrid force-vision manipulation. IROS 2000: 1866-1871
1990 – 1999
- 1999
- [c7]Martin Jägersand:
Image Based Predictive Display for Tele-Manipulation. ICRA 1999: 550-556 - [c6]Zachary Dodds, Martin Jägersand, Gregory D. Hager, Kentaro Toyama:
A Hierarchical Vision Architecture for Robotic Manipulation Tasks. ICVS 1999: 312-330 - [c5]Martin Jägersand:
Hierarchical uncalibrated predictive display for a 16 DOF Utah/MIT hand. IROS 1999: 124-129 - 1997
- [c4]Martin Jägersand:
Image Based View Synthesis of Articulated Agents. CVPR 1997: 1047-1053 - [c3]Martin Jägersand, Olac Fuentes, Randal C. Nelson:
Experimental evaluation of uncalibrated visual servoing for precision manipulation. ICRA 1997: 2874-2880 - 1996
- [c2]Martin Jägersand, Olac Fuentes, Randal C. Nelson:
Acquiring Visual-Motor Models for Precision Manipulation with Robot Hands. ECCV (2) 1996: 603-612 - 1995
- [c1]Martin Jägersand:
Saliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach. ICCV 1995: 195-202
Coauthor Index
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