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ORCIDGerhard Rigoll
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- affiliation: TU Munich, Germany
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2020 – today
- 2024
[j46]Jia Lin
, Wancheng Ge, Gerhard Rigoll, Huilin Yin:
CSANet: Cuboid-Wise Shape Augmentation 3D Object Detector for Occluded Targets. IEEE Signal Process. Lett. 31: 1750-1754 (2024)- [c417]Gerhard Rigoll:
Multi-Modal Human-Machine Interaction: Joint Optimization of Single Modalities and Automatic Learning of Communication Channel Fusion. VISIGRAPP 2024: 9 - [c416]Maximilian Rettinger, Xuefei Jiang, Jiaxin Yang, Gerhard Rigoll:
Visual Complexity in VR: Implications for Cognitive Load. VR Workshops 2024: 783-784 - [c415]Maximilian Rettinger, Michael Hug, Hassan Kamel, Yashita Saxena, Gerhard Rigoll:
Visual Perception in VR Training: Impact of Information Transfer Methods. VR Workshops 2024: 785-786 - [c414]Torben Teepe, Philipp Wolters, Johannes Gilg, Fabian Herzog, Gerhard Rigoll:
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View. WACV (Workshops) 2024: 102-111 - [c413]Johannes Gilg, Torben Teepe, Fabian Herzog, Philipp Wolters, Gerhard Rigoll:
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration. WACV 2024: 4838-4847 - [i43]Philipp Wolters, Johannes Gilg, Torben Teepe, Fabian Herzog, Anouar Laouichi, Martin Hofmann, Gerhard Rigoll:
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception. CoRR abs/2403.07746 (2024) - [i42]Torben Teepe, Philipp Wolters, Johannes Gilg, Fabian Herzog, Gerhard Rigoll:
Lifting Multi-View Detection and Tracking to the Bird's Eye View. CoRR abs/2403.12573 (2024) - 2023
- [j45]Maximilian Rettinger, Gerhard Rigoll:
Touching the future of training: investigating tangible interaction in virtual reality. Frontiers Virtual Real. 4 (2023) - [j44]Jun Yan, Huilin Yin, Ziming Zhao, Wancheng Ge, Hao Zhang, Gerhard Rigoll:
Wavelet regularization benefits adversarial training. Inf. Sci. 649: 119650 (2023) - [j43]Yunkai Lv, Hao Zhang, Zhuping Wang, Gerhard Rigoll:
3-D Localization of Multiagent Systems Under Random Environments Based on Iterative Learning. IEEE Trans. Control. Netw. Syst. 10(3): 1508-1519 (2023) - [c412]Martin Knoche, Mohamed Elkadeem, Stefan Hörmann, Gerhard Rigoll:
Octuplet Loss: Make Face Recognition Robust to Image Resolution. FG 2023: 1-8 - [c411]Dominik Eisl, Fabian Herzog, Jean-Luc Dugelay, Ludovic Apvrille, Gerhard Rigoll:
Introducing A Framework for Single-Human Tracking Using Event-Based Cameras. ICIP 2023: 3269-3273 - [c410]Maximilian Rettinger, Michael Hug, Hassan Kamel, Yashita Saxena, Gerhard Rigoll:
Enhancing VR Training: Impact of Information Transfer Methods. ISMAR-Adjunct 2023: 513-518 - [c409]Martin Knoche, Gerhard Rigoll:
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach. MVA 2023: 1-5 - [c408]Maximilian Rettinger, Sebastian Berndt, Gerhard Rigoll, Christoph Schmaderer:
Collaborative VR: Conveying a Complex Disease and Its Treatment. VR Workshops 2023: 581-582 - [c407]Fabian Herzog, Junpeng Chen, Torben Teepe, Johannes Gilg, Stefan Hörmann, Gerhard Rigoll:
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities. WACV (Workshops) 2023: 1-11 - [c406]Martin Knoche, Torben Teepe, Stefan Hörmann, Gerhard Rigoll:
Explainable Model-Agnostic Similarity and Confidence in Face Verification. WACV (Workshops) 2023: 1-8 - [c405]Johannes Gilg, Torben Teepe, Fabian Herzog, Gerhard Rigoll:
The Box Size Confidence Bias Harms Your Object Detector. WACV 2023: 1471-1480 - [i41]Martin Knoche, Gerhard Rigoll:
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach. CoRR abs/2304.08134 (2023) - [i40]Johannes Gilg, Torben Teepe, Fabian Herzog, Philipp Wolters, Gerhard Rigoll:
Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration. CoRR abs/2309.03110 (2023) - [i39]Torben Teepe, Philipp Wolters, Johannes Gilg, Fabian Herzog, Gerhard Rigoll:
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View. CoRR abs/2310.13350 (2023) - 2022
- [j42]Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll:
Dissected 3D CNNs: Temporal skip connections for efficient online video processing. Comput. Vis. Image Underst. 215: 103318 (2022) - [j41]Martin Knoche, Stefan Hörmann, Gerhard Rigoll:
Susceptibility to Image Resolution in Face Recognition and Training Strategies to Enhance Robustness. Leibniz Trans. Embed. Syst. 8(1): 01:1-01:20 (2022) - [c404]Torben Teepe, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
Towards a Deeper Understanding of Skeleton-based Gait Recognition. CVPR Workshops 2022: 1568-1576 - [c403]Maximilian Rettinger, Gerhard Rigoll:
Defuse the Training of Risky Tasks: Collaborative Training in XR. ISMAR 2022: 695-701 - [c402]Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro, Gerhard Rigoll:
Efficient Active Learning Strategies for Monocular 3D Object Detection. IV 2022: 295-302 - [c401]Maximilian Rettinger, Christoph Schmaderer, Gerhard Rigoll:
Do You Notice Me? How Bystanders Affect the Cognitive Load in Virtual Reality. VR 2022: 77-82 - [c400]Maximilian Rettinger, Gerhard Rigoll, Christoph Schmaderer:
VR Training: The Unused Opportunity to Save Lives During a Pandemic. VR Workshops 2022: 423-424 - [i38]Torben Teepe, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
Towards a Deeper Understanding of Skeleton-based Gait Recognition. CoRR abs/2204.07855 (2022) - [i37]Stefan Hörmann, Tianlin Kong, Torben Teepe, Fabian Herzog, Martin Knoche, Gerhard Rigoll:
Face Morphing: Fooling a Face Recognition System Is Simple! CoRR abs/2205.13796 (2022) - [i36]Jun Yan, Huilin Yin, Xiaoyang Deng, Ziming Zhao, Wancheng Ge, Hao Zhang, Gerhard Rigoll:
Wavelet Regularization Benefits Adversarial Training. CoRR abs/2206.03727 (2022) - [i35]Martin Knoche, Mohamed Elkadeem, Stefan Hörmann, Gerhard Rigoll:
Octuplet Loss: Make Face Recognition Robust to Image Resolution. CoRR abs/2207.06726 (2022) - [i34]Fabian Herzog, Junpeng Chen, Torben Teepe, Johannes Gilg, Stefan Hörmann, Gerhard Rigoll:
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities. CoRR abs/2208.14167 (2022) - [i33]Martin Knoche, Torben Teepe, Stefan Hörmann, Gerhard Rigoll:
Explainable Model-Agnostic Similarity and Confidence in Face Verification. CoRR abs/2211.13735 (2022) - 2021
- [j40]Lujun Li, Tobias Watzel, Ludwig Kürzinger, Gerhard Rigoll:
Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. IEEE Access 9: 39098-39110 (2021) - [j39]Lujun Li, Yikai Kang, Yuchen Shi, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition. EURASIP J. Audio Speech Music. Process. 2021(1): 26 (2021) - [c399]Maximilian Rettinger, Niklas Müller, Christopher Holzmann-Littig, Marjo Wijnen-Meijer, Gerhard Rigoll, Christoph Schmaderer:
VR-based Equipment Training for Health Professionals. CHI Extended Abstracts 2021: 252:1-252:6 - [c398]Stefan Hörmann, Zhibing Xia, Martin Knoche, Gerhard Rigoll:
A Coarse-to-Fine Dual Attention Network for Blind Face Completion. FG 2021: 1-8 - [c397]Martin Knoche, Stefan Hörmann, Gerhard Rigoll:
Cross-Quality LFW: A Database for Analyzing Cross- Resolution Image Face Recognition in Unconstrained Environments. FG 2021: 1-5 - [c396]Okan Köpüklü, Maja Taseska, Gerhard Rigoll:
How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild. ICCV 2021: 1173-1183 - [c395]Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll:
Lightweight Multi-Branch Network For Person Re-Identification. ICIP 2021: 1129-1133 - [c394]Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. ICIP 2021: 2314-2318 - [c393]Stefan Hörmann, Arka Bhowmick, Michael Weiher, Karl Leiss, Gerhard Rigoll:
Face Texture Generation And Identity-Preserving Rectification. ICIP 2021: 2448-2452 - [c392]Stefan Hörmann, Zhenxiang Cao, Martin Knoche, Fabian Herzog, Gerhard Rigoll:
Face Aggregation Network For Video Face Recognition. ICIP 2021: 2973-2977 - [c391]Stefan Hörmann, Zeyuan Zhang, Martin Knoche, Torben Teepe, Gerhard Rigoll:
Attention-Based Partial Face Recognition. ICIP 2021: 2978-2982 - [c390]Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
A Global Discriminant Joint Training Framework for Robust Speech Recognition. ICTAI 2021: 544-551 - [c389]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Regularized Forward-Backward Decoder for Attention Models. SPECOM 2021: 786-794 - [c388]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Induced Local Attention for Transformer Models in Speech Recognition. SPECOM 2021: 795-806 - [c387]Florian Kälber, Okan Köpüklü, Nicolas H. Lehment, Gerhard Rigoll:
U-Net based Zero-hour Defect Inspection of Electronic Components and Semiconductors. VISIGRAPP (5: VISAPP) 2021: 593-601 - [c386]Okan Köpüklü, Jiapeng Zheng, Hang Xu, Gerhard Rigoll:
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach. WACV 2021: 91-100 - [e7]Andrey Ronzhin, Gerhard Rigoll, Roman V. Meshcheryakov:
Interactive Collaborative Robotics - 6th International Conference, ICR 2021, St. Petersburg, Russia, September 27-30, 2021, Proceedings. Lecture Notes in Computer Science 12998, Springer 2021, ISBN 978-3-030-87724-8 [contents] - [i32]Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll:
Lightweight Multi-Branch Network for Person Re-Identification. CoRR abs/2101.10774 (2021) - [i31]Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. CoRR abs/2101.11228 (2021) - [i30]Okan Köpüklü, Maja Taseska, Gerhard Rigoll:
How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild. CoRR abs/2106.03932 (2021) - [i29]Stefan Hörmann, Zeyuan Zhang, Martin Knoche, Torben Teepe, Gerhard Rigoll:
Attention-based Partial Face Recognition. CoRR abs/2106.06415 (2021) - [i28]Martin Knoche, Stefan Hörmann, Gerhard Rigoll:
Image Resolution Susceptibility of Face Recognition Models. CoRR abs/2107.03769 (2021) - [i27]Martin Knoche, Stefan Hörmann, Gerhard Rigoll:
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments. CoRR abs/2108.10290 (2021) - [i26]Johannes Gilg, Torben Teepe, Fabian Herzog, Gerhard Rigoll:
The Box Size Confidence Bias Harms Your Object Detector. CoRR abs/2112.01901 (2021) - 2020
- [j38]Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Online Dynamic Hand Gesture Recognition Including Efficiency Analysis. IEEE Trans. Biom. Behav. Identity Sci. 2(2): 85-97 (2020) - [c385]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. FG 2020: 77-84 - [c384]Stefan Hörmann, Abdul Moiz, Martin Knoche, Gerhard Rigoll:
Attention Fusion for Audio-Visual Person Verification Using Multi-Scale Features. FG 2020: 281-285 - [c383]Stefan Hörmann, Martin Knoche, Gerhard Rigoll:
A Multi-Task Comparator Framework for Kinship Verification. FG 2020: 863-867 - [c382]Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll:
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. ICASSP 2020: 7454-7458 - [c381]Okan Köpüklü, Fabian Herzog, Gerhard Rigoll:
Comparative Analysis of CNN-Based Spatiotemporal Reasoning in Videos. ICPR Workshops (4) 2020: 186-202 - [c380]Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll:
Deep Attention Based Semi-supervised 2D-Pose Estimation for Surgical Instruments. ICPR Workshops (1) 2020: 444-460 - [c379]Ludwig Kürzinger, Nicolas Lindae, Palle Klewitz, Gerhard Rigoll:
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. INTERSPEECH 2020: 1659-1663 - [c378]Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Gerhard Rigoll, Bernhard U. Seeber:
MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition. SPECOM 2020: 22-34 - [c377]Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. SPECOM 2020: 255-266 - [c376]Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, Gerhard Rigoll:
CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. SPECOM 2020: 267-278 - [c375]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Synchronized Forward-Backward Transformer for End-to-End Speech Recognition. SPECOM 2020: 646-656 - [e6]Andrey Ronzhin, Gerhard Rigoll, Roman V. Meshcheryakov:
Interactive Collaborative Robotics - 5th International Conference, ICR 2020, St Petersburg, Russia, October 7-9, 2020, Proceedings. Lecture Notes in Computer Science 12336, Springer 2020, ISBN 978-3-030-60336-6 [contents] - [i25]Okan Köpüklü, Thomas Ledwon, Yao Rong, Neslihan Kose, Gerhard Rigoll:
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework. CoRR abs/2003.00951 (2020) - [i24]Stefan Hörmann, Martin Knoche, Gerhard Rigoll:
A Multi-Task Comparator Framework for Kinship Verification. CoRR abs/2006.01615 (2020) - [i23]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Regularized Forward-Backward Decoder for Attention Models. CoRR abs/2006.08506 (2020) - [i22]Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. CoRR abs/2007.10723 (2020) - [i21]Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Gerhard Rigoll, Bernhard U. Seeber:
MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition. CoRR abs/2007.12892 (2020) - [i20]Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll:
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing. CoRR abs/2009.14639 (2020) - [i19]Okan Köpüklü, Jiapeng Zheng, Hang Xu, Gerhard Rigoll:
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach. CoRR abs/2009.14660 (2020) - [i18]Ludwig Kürzinger, Nicolas Lindae, Palle Klewitz, Gerhard Rigoll:
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions. CoRR abs/2010.07597 (2020)
2010 – 2019
- 2019
- [j37]Maryam Babaee, Linwei Li, Gerhard Rigoll:
Person identification from partial gait cycle using fully convolutional neural networks. Neurocomputing 338: 116-125 (2019) - [j36]Maryam Babaee, Zimu Li, Gerhard Rigoll:
A dual CNN-RNN for multiple people tracking. Neurocomputing 368: 69-83 (2019) - [c374]Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. FG 2019: 1-8 - [c373]Takashi Nagamatsu, Mamoru Hiroe, Gerhard Rigoll:
Corneal-Reflection-Based Wide Range Gaze Tracking for a Car. HCI (5) 2019: 385-400 - [c372]Okan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll:
Resource Efficient 3D Convolutional Neural Networks. ICCV Workshops 2019: 1910-1919 - [c371]Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking With Your Hands: Scaling Hand Gestures and Recognition With CNNs. ICCV Workshops 2019: 2836-2845 - [c370]Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll:
Convolutional Neural Networks with Layer Reuse. ICIP 2019: 345-349 - [c369]Stefan Hörmann, Martin Knoche, Maryam Babaee, Okan Köpüklü, Gerhard Rigoll:
Outlier-Robust Neural Aggregation Network for Video Face Identification. ICIP 2019: 1675-1679 - [c368]Maryam Babaee, Yue Zhu, Okan Köpüklü, Stefan Hörmann, Gerhard Rigoll:
Gait Energy Image Restoration Using Generative Adversarial Networks. ICIP 2019: 2596-2600 - [c367]Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri, Gerhard Rigoll:
VisMAP: Visual Mining of Attribute-Based Access Control Policies. ICISS 2019: 79-98 - [c366]Neslihan Kose, Okan Köpüklü, Alexander Unnervik, Gerhard Rigoll:
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach. ITSC 2019: 3236-3242 - [c365]Patrick Lindemann, Niklas Müller, Gerhard Rigoll:
Exploring the Use of Augmented Reality Interfaces for Driver Assistance in Short-Notice Takeovers. IV 2019: 804-809 - [c364]Ludwig Kürzinger, Tobias Watzel, Lujun Li, Robert Baumgartner, Gerhard Rigoll:
Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes. SPECOM 2019: 258-269 - [c363]Tobias Watzel, Lujun Li, Ludwig Kürzinger, Gerhard Rigoll:
Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems. SPECOM 2019: 530-539 - [c362]Patrick Lindemann, Dominik Eisl, Gerhard Rigoll:
Acceptance and User Experience of Driving with a See-Through Cockpit in a Narrow-Space Overtaking Scenario. VR 2019: 1040-1041 - [c361]Patrick Lindemann, Rui Zhu, Gerhard Rigoll:
A Simulation for Examining the Effects of Inaccurate Head Tracking on Drivers of Vehicles with Transparent Cockpit Projections. VR 2019: 1042-1043 - [e5]Andrey Ronzhin, Gerhard Rigoll, Roman V. Meshcheryakov:
Interactive Collaborative Robotics - 4th International Conference, ICR 2019, Istanbul, Turkey, August 20-25, 2019, Proceedings. Lecture Notes in Computer Science 11659, Springer 2019, ISBN 978-3-030-26117-7 [contents] - [i17]Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll:
Convolutional Neural Networks with Layer Reuse. CoRR abs/1901.09615 (2019) - [i16]Okan Köpüklü, Ahmet Gunduz, Neslihan Kose, Gerhard Rigoll:
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks. CoRR abs/1901.10323 (2019) - [i15]Okan Köpüklü, Neslihan Kose, Ahmet Gunduz, Gerhard Rigoll:
Resource Efficient 3D Convolutional Neural Networks. CoRR abs/1904.02422 (2019) - [i14]Okan Köpüklü, Yao Rong, Gerhard Rigoll:
Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs. CoRR abs/1905.04225 (2019) - [i13]Mohammadreza Babaee, David Full, Gerhard Rigoll:
On Flow Profile Image for Video Representation. CoRR abs/1905.04668 (2019) - [i12]Neslihan Kose, Okan Köpüklü, Alexander Unnervik, Gerhard Rigoll:
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach. CoRR abs/1907.08009 (2019) - [i11]Okan Köpüklü, Fabian Herzog, Gerhard Rigoll:
Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos. CoRR abs/1909.05165 (2019) - [i10]Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll:
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. CoRR abs/1911.02086 (2019) - [i9]Okan Köpüklü, Xiangyu Wei, Gerhard Rigoll:
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization. CoRR abs/1911.06644 (2019) - [i8]Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll:
Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments. CoRR abs/1912.04618 (2019) - 2018
- [j35]Patrick Lindemann, Tae-Young Lee, Gerhard Rigoll:
Catch My Drift: Elevating Situation Awareness for Highly Automated Driving with an Explanatory Windshield Display User Interface. Multimodal Technol. Interact. 2(4): 71 (2018) - [j34]Mohammadreza Babaee, Duc Tung Dinh, Gerhard Rigoll:
A deep convolutional neural network for video sequence background subtraction. Pattern Recognit. 76: 635-649 (2018) - [c360]Daniel Merget, Matthias Rock, Gerhard Rigoll:
Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network. CVPR 2018: 781-790 - [c359]Okan Köpüklü, Neslihan Kose, Gerhard Rigoll:
Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition. CVPR Workshops 2018: 2103-2111 - [c358]Maryam Babaee, Linwei Li, Gerhard Rigoll:
Gait Energy Image Reconstruction from Degraded Gait Cycle Using Deep Learning. ECCV Workshops (4) 2018: 654-658 - [c357]Maryam Babaee, Linwei Li, Gerhard Rigoll:
Gait Recognition from Incomplete Gait Cycle. ICIP 2018: 768-772 - [c356]Maryam Babaee, Zimu Li, Gerhard Rigoll:
Occlusion Handling in Tracking Multiple People Using RNN. ICIP 2018: 2715-2719 - [c355]