Knoll, A.
Standard Author Listing
with: Auge, D.: Hand Gesture Recognition in Range-Doppler Images Using Binar...
with: Aydt, H.: Information Maximizing Optimal Sensor Placement Robust Again...
with: Azimi, S.M.: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery...
with: Bahmanyar, R.: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Image...
with: Balazs, G.: Automated Defect Inspection in Reverse Engineering of Inte...
with: Banik, S.: 3D Human Pose Regression Using Graph Convolutional Network
with: Banik, S.: Object Localization with Attribute Preference Based on Top-...
with: Barner, S.: Accelerating Integral Histograms Using an Adaptive Approach
with: Bette, A.C.: Automated Defect Inspection in Reverse Engineering of Int...
with: Bing, Z.S.: Context-Based Meta-Reinforcement Learning With Bayesian No...
with: Bing, Z.S.: Meta-Reinforcement Learning in Non-Stationary and Dynamic ...
with: Bing, Z.S.: Toward Intelligent Sensing: Optimizing Lidar Beam Distribu...
with: Bischoff, B.: Fusing vision and odometry for accurate indoor robot loc...
with: Breide, S.: Wideband MAC-compatible HDTV transmission system
with: Brunner, T.: Guessing Smart: Biased Sampling for Efficient Black-Box A...
with: Brus, P.: Automated Defect Inspection in Reverse Engineering of Integr...
with: Cai, C.X.: Object Recognition Using Constraints from Primitive Shape M...
with: Cai, C.X.: Scene Perception and Recognition for Human-Robot Co-operation
with: Cai, C.X.: Scene Perception and Recognition in Industrial Environments...
with: Cao, H.: Collaborative Semantic Occupancy Prediction with Hybrid Featu...
with: Cao, H.: Embracing Events and Frames with Hierarchical Feature Refinem...
with: Cao, H.: Event-Based Neuromorphic Vision for Autonomous Driving: A Par...
with: Cao, H.: Fast and deterministic (3+1)DOF point set registration with g...
with: Cao, H.: Globally Optimal Robust Radar Calibration in Intelligent Tran...
with: Cao, H.: SDPT: Semantic-Aware Dimension-Pooling Transformer for Image ...
with: Cao, H.: Strong but Simple: A Baseline for Domain Generalized Dense Pe...
with: Cao, H.: Transformation Decoupling Strategy Based on Screw Theory for ...
with: Cao, X.C.: Focal Network for Image Restoration
with: Cao, X.C.: Image Restoration via Frequency Selection
with: Cao, X.C.: Revitalizing Convolutional Network for Image Restoration
with: Cayli, Y.K.: 3D Object Detection with a Self-supervised Lidar Scene Fl...
with: CHen, G.: Absolute Pose Estimation With a Known Direction by Motion De...
with: Chen, G.: Deep anticipation: lightweight intelligent mobile sensing fo...
with: Chen, G.: Embracing Events and Frames with Hierarchical Feature Refine...
with: Chen, G.: Event-Based Neuromorphic Vision for Autonomous Driving: A Pa...
with: Chen, G.: Globally Optimal Linear Model Fitting with Unit-Norm Constra...
with: Chen, G.: Globally Optimal Vertical Direction Estimation in Atlanta Wo...
with: Chen, G.: HGL: Hierarchical Geometry Learning for Test-time Adaptation...
with: Chen, G.: Image Grid Recognition and Regression for Fast and Accurate ...
with: Chen, G.: Improving Low-Resolution Image Classification by Super-Resol...
with: Chen, G.: LEAD: Learning Decomposition for Source-free Universal Domai...
with: Chen, G.: MAP: MAsk-Pruning for Source-Free Model Intellectual Propert...
with: Chen, G.: MoNet: Motion-Based Point Cloud Prediction Network
with: Chen, G.: Multi-modality Gesture Detection and Recognition with Un-sup...
with: Chen, G.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towar...
with: Chen, G.: Novel Method for the Absolute Pose Problem with Pairwise Con...
with: Chen, G.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D Li...
with: Chen, G.: Review of Safe Reinforcement Learning: Methods, Theories, an...
with: Chen, G.: RPP-Net: Rigid Constrained Point Cloud Prediction Network
with: Chen, G.: SDPT: Semantic-Aware Dimension-Pooling Transformer for Image...
with: Chen, G.: Survey of the Four Pillars for Small Object Detection: Multi...
with: Chen, G.: TMA: Temporal Motion Aggregation for Event-based Optical Flow
with: Chen, G.: UMC: A Unified Bandwidth-efficient and Multi-resolution base...
with: Chen, J.N.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Tow...
with: Chen, K.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D Li...
with: Chen, K.: Survey of the Four Pillars for Small Object Detection: Multi...
with: Chen, K.: UMC: A Unified Bandwidth-efficient and Multi-resolution base...
with: Chen, L.: Hierarchical Grid-based Multi-People Tracking-by-Detection W...
with: Chen, L.: Human Body Orientation Estimation in Multiview Scenarios
with: Chen, W.K.: Survey of the Four Pillars for Small Object Detection: Mul...
with: Cihangir, N.K.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-D...
with: Clarke, D.: Cooperative vehicle-infrastructure localization based on t...
with: Clarke, D.: Multi-modality Gesture Detection and Recognition with Un-s...
with: Conradt, J.: Event-Based Neuromorphic Vision for Autonomous Driving: A...
with: Conradt, J.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle To...
with: Cui, Y.N.: EENet: An effective and efficient network for single image ...
with: Cui, Y.N.: Focal Network for Image Restoration
with: Cui, Y.N.: Image Restoration via Frequency Selection
with: Cui, Y.N.: Omni-Kernel Modulation for Universal Image Restoration
with: Cui, Y.N.: Revitalizing Convolutional Network for Image Restoration
with: Dean Leon, E.: Scene Perception and Recognition for Human-Robot Co-ope...
with: Dean Leon, E.: Scene Perception and Recognition in Industrial Environm...
with: Diehl, F.: Guessing Smart: Biased Sampling for Efficient Black-Box Adv...
with: Du, Y.: Review of Safe Reinforcement Learning: Methods, Theories, and ...
with: Ercelik, E.: 3D Object Detection with a Self-supervised Lidar Scene Fl...
with: Ercelik, E.: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery...
with: Ewert, M.: Fusing vision and odometry for accurate indoor robot locali...
with: Feng, M.Y.: Improving Low-Resolution Image Classification by Super-Res...
with: Festag, A.: Collaborative Semantic Occupancy Prediction with Hybrid Fe...
with: Friedrich, P.: Multi-Task Consistency for Active Learning
with: Frintrop, S.: Object Localization with Attribute Preference Based on T...
with: Fu, C.H.: Deep anticipation: lightweight intelligent mobile sensing fo...
with: GarcIa, A.M.: 3D Human Pose Regression Using Graph Convolutional Network
with: Gaschler, A.: Multi-modality Gesture Detection and Recognition with Un...
with: Gaus, H.H.: Wideband MAC-compatible HDTV transmission system
with: Geismann, P.: Speeding Up HOG and LBP Features for Pedestrian Detectio...
with: Giuliani, M.: Multi-modality Gesture Detection and Recognition with Un...
with: Goetze, M.: Wideband MAC-compatible HDTV transmission system
with: Gottschalk, H.: Strong but Simple: A Baseline for Domain Generalized D...
with: Gross, M.: Collaborative Semantic Occupancy Prediction with Hybrid Fea...
with: Gu, S.D.: Review of Safe Reinforcement Learning: Methods, Theories, an...
with: Gulati, D.: Cooperative vehicle-infrastructure localization based on t...
with: Gurram, A.: DiGA: Distil to Generalize and then Adapt for Domain Adapt...
with: Gurram, A.: LoopDA: Constructing Self-loops to Adapt Nighttime Semanti...
with: Hagn, K.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distrib...
with: He, L.: HGL: Hierarchical Geometry Learning for Test-time Adaptation i...
with: He, L.: MAP: MAsk-Pruning for Source-Free Model Intellectual Property ...
with: He, L.H.: LEAD: Learning Decomposition for Source-free Universal Domai...
with: Heise, P.: PM-Huber: PatchMatch with Huber Regularization for Stereo M...
with: Heise, P.: Variational PatchMatch MultiView Reconstruction and Refinem...
with: Hekimoglu, A.: Multi-Task Consistency for Active Learning
with: Hille, J.: Hand Gesture Recognition in Range-Doppler Images Using Bina...
with: Hinz, G.: Cooperative vehicle-infrastructure localization based on the...
with: Hinz, G.: Deep anticipation: lightweight intelligent mobile sensing fo...
with: Hinz, G.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distrib...
with: Hong, L.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towar...
with: Huang, K.: Context-Based Meta-Reinforcement Learning With Bayesian Non...
with: Huang, K.: Meta-Reinforcement Learning in Non-Stationary and Dynamic E...
with: Huang, K.: Toward Intelligent Sensing: Optimizing Lidar Beam Distribut...
with: Huang, Y.H.: Toward Intelligent Sensing: Optimizing Lidar Beam Distrib...
with: Hummer, C.: Strong but Simple: A Baseline for Domain Generalized Dense...
with: Ivanchev, J.: Information Maximizing Optimal Sensor Placement Robust A...
with: Jensen, B.: PM-Huber: PatchMatch with Huber Regularization for Stereo ...
with: Jensen, B.: Variational PatchMatch MultiView Reconstruction and Refine...
with: Jiang, C.J.: HGL: Hierarchical Geometry Learning for Test-time Adaptat...
with: Jiang, C.J.: LEAD: Learning Decomposition for Source-free Universal Do...
with: Jiang, C.J.: MAP: MAsk-Pruning for Source-Free Model Intellectual Prop...
with: Jiang, C.J.: RPP-Net: Rigid Constrained Point Cloud Prediction Network
with: Jiang, C.J.: TMA: Temporal Motion Aggregation for Event-based Optical ...
with: Jiang, C.J.: UMC: A Unified Bandwidth-efficient and Multi-resolution b...
with: Jiang, D.S.: SDPT: Semantic-Aware Dimension-Pooling Transformer for Im...
with: Keser, M.: Interpretable Model-Agnostic Plausibility Verification for ...
with: Klose, S.: Multi-target and Multi-camera Object Detection with Monte-C...
with: Klose, S.: PM-Huber: PatchMatch with Huber Regularization for Stereo M...
with: Klose, S.: Real-Time Articulated Hand Detection and Pose Estimation
with: Klose, S.: Variational PatchMatch MultiView Reconstruction and Refinem...
with: Kraus, M.: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery U...
with: Ladikos, A.: Efficient and Robust Real-Time Contour Tracking System, An
with: Lakshminarasimhan, V.: Fast and deterministic (3+1)DOF point set regis...
with: Lakshminarasimhan, V.: Globally Optimal Robust Radar Calibration in In...
with: Lauri, M.: Object Localization with Attribute Preference Based on Top-...
with: Le, M.T.: Guessing Smart: Biased Sampling for Efficient Black-Box Adve...
with: Lenz, C.: Accelerating Integral Histograms Using an Adaptive Approach
with: Lerch, D.: Meta-Reinforcement Learning in Non-Stationary and Dynamic E...
with: Li, C.P.: EENet: An effective and efficient network for single image d...
with: Li, W.J.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towar...
with: Li, X.: Embracing Events and Frames with Hierarchical Feature Refineme...
with: Li, X.: Fast and deterministic (3+1)DOF point set registration with gr...
with: Li, X.: Transformation Decoupling Strategy Based on Screw Theory for D...
with: Li, X.C.: Novel Method for the Absolute Pose Problem with Pairwise Con...
with: Li, X.Y.: Globally Optimal Robust Radar Calibration in Intelligent Tra...
with: Li, Z.J.: HGL: Hierarchical Geometry Learning for Test-time Adaptation...
with: Li, Z.J.: MoNet: Motion-Based Point Cloud Prediction Network
with: Li, Z.J.: RPP-Net: Rigid Constrained Point Cloud Prediction Network
with: Li, Z.J.: Survey of the Four Pillars for Small Object Detection: Multi...
with: Li, Z.J.: TMA: Temporal Motion Aggregation for Event-based Optical Flow
with: Liang, C.W.: Collaborative Semantic Occupancy Prediction with Hybrid F...
with: Listl, M.: 3D Object Detection with a Self-supervised Lidar Scene Flow...
with: Liu, H.T.: TMA: Temporal Motion Aggregation for Event-based Optical Flow
with: Liu, M.Y.: 3D Object Detection with a Self-supervised Lidar Scene Flow...
with: Liu, S.: Deep anticipation: lightweight intelligent mobile sensing for...
with: Liu, X.Y.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D L...
with: Liu, Y.L.: Absolute Pose Estimation With a Known Direction by Motion D...
with: Liu, Y.L.: Fast and deterministic (3+1)DOF point set registration with...
with: Liu, Y.L.: Globally Optimal Linear Model Fitting with Unit-Norm Constr...
with: Liu, Y.L.: Globally Optimal Robust Radar Calibration in Intelligent Tr...
with: Liu, Y.L.: Globally Optimal Vertical Direction Estimation in Atlanta W...
with: Liu, Y.L.: MoNet: Motion-Based Point Cloud Prediction Network
with: Liu, Y.L.: Novel Method for the Absolute Pose Problem with Pairwise Co...
with: Liu, Y.L.: Survey of the Four Pillars for Small Object Detection: Mult...
with: Liu, Y.L.: Transformation Decoupling Strategy Based on Screw Theory fo...
with: Liu, Z.: UMC: A Unified Bandwidth-efficient and Multi-resolution based...
with: Liu, Z.Y.: DiGA: Distil to Generalize and then Adapt for Domain Adapti...
with: Liu, Z.Y.: LoopDA: Constructing Self-loops to Adapt Nighttime Semantic...
with: Lu, F.: MoNet: Motion-Based Point Cloud Prediction Network
with: Lu, F.: RPP-Net: Rigid Constrained Point Cloud Prediction Network
with: Lu, Y.W.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towar...
with: Ludwig, M.: Automated Defect Inspection in Reverse Engineering of Inte...
with: Ma, Z.J.: Transformation Decoupling Strategy Based on Screw Theory for...
with: Marcos Ramiro, A.: Multi-Task Consistency for Active Learning
with: Mueller, E.: Hand Gesture Recognition in Range-Doppler Images Using Bi...
with: Muller, T.: Accelerating Integral Histograms Using an Adaptive Approach
with: Muller, T.: Novel Approach to Hand-Gesture Recognition in a Human-Robo...
with: Nair, S.: Precise Measurement of Cargo Boxes for Gantry Robot Palletiz...
with: Nguyen Tuong, D.: Fusing vision and odometry for accurate indoor robot...
with: Nowzad, A.: Interpretable Model-Agnostic Plausibility Verification for...
with: Oboril, F.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distr...
with: Panin, G.: Efficient and Robust Real-Time Contour Tracking System, An
with: Panin, G.: Hierarchical Grid-based Multi-People Tracking-by-Detection ...
with: Panin, G.: Human Body Orientation Estimation in Multiview Scenarios
with: Panin, G.: Multi-target and Multi-camera Object Detection with Monte-C...
with: Panin, G.: Mutual Information-Based 3D Object Tracking
with: Panin, G.: Real-Time 3D Face Tracking with Mutual Information and Acti...
with: Panin, G.: Real-Time Articulated Hand Detection and Pose Estimation
with: Pataki, Z.: LoopDA: Constructing Self-loops to Adapt Nighttime Semanti...
with: Paulitsch, M.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Di...
with: Peng, B.Y.: MAP: MAsk-Pruning for Source-Free Model Intellectual Prope...
with: Perzylo, A.: Object Recognition Using Constraints from Primitive Shape...
with: Qu, S.Q.: HGL: Hierarchical Geometry Learning for Test-time Adaptation...
with: Qu, S.Q.: LEAD: Learning Decomposition for Source-free Universal Domai...
with: Qu, S.Q.: MAP: MAsk-Pruning for Source-Free Model Intellectual Propert...
with: Qu, S.Q.: MoNet: Motion-Based Point Cloud Prediction Network
with: Qu, S.Q.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D Li...
with: Qu, S.Q.: RPP-Net: Rigid Constrained Point Cloud Prediction Network
with: Qu, S.Q.: TMA: Temporal Motion Aggregation for Event-based Optical Flow
with: Qu, Z.N.: Deep anticipation: lightweight intelligent mobile sensing fo...
with: Qutub, S.S.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Dist...
with: Raaj, Y.: Precise Measurement of Cargo Boxes for Gantry Robot Palletiz...
with: Reinartz, P.: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imager...
with: Ren, K.: Deep anticipation: lightweight intelligent mobile sensing for...
with: Ren, W.Q.: EENet: An effective and efficient network for single image ...
with: Ren, W.Q.: Focal Network for Image Restoration
with: Ren, W.Q.: Image Restoration via Frequency Selection
with: Ren, W.Q.: Omni-Kernel Modulation for Universal Image Restoration
with: Ren, W.Q.: Revitalizing Convolutional Network for Image Restoration
with: Rickert, M.: Object Recognition Using Constraints from Primitive Shape...
with: Rohrbein, F.: Event-Based Neuromorphic Vision for Autonomous Driving: ...
with: Rohrbein, F.: LEAD: Learning Decomposition for Source-free Universal D...
with: Schmidt, M.: Multi-Task Consistency for Active Learning
with: Scholl, K.U.: Situation Monitor: Diversity-Driven Zero-Shot Out-of-Dis...
with: Schwalbe, G.: Interpretable Model-Agnostic Plausibility Verification f...
with: Schwonberg, M.: Strong but Simple: A Baseline for Domain Generalized D...
with: Shen, F.Y.: DiGA: Distil to Generalize and then Adapt for Domain Adapt...
with: Shen, F.Y.: LoopDA: Constructing Self-loops to Adapt Nighttime Semanti...
with: Somani, N.: Object Recognition Using Constraints from Primitive Shape ...
with: Somani, N.: Scene Perception and Recognition for Human-Robot Co-operat...
with: Somani, N.: Scene Perception and Recognition in Industrial Environment...
with: Song, R.: Collaborative Semantic Occupancy Prediction with Hybrid Feat...
with: Song, Z.: Survey of the Four Pillars for Small Object Detection: Multi...
with: Song, Z.J.: Globally Optimal Linear Model Fitting with Unit-Norm Const...
with: Song, Z.J.: Novel Method for the Absolute Pose Problem with Pairwise C...
with: Stenger, L.: Wideband MAC-compatible HDTV transmission system
with: Stilla, U.: Fast and deterministic (3+1)DOF point set registration wit...
with: Streichert, F.: Fusing vision and odometry for accurate indoor robot l...
with: Tang, H.: Event-Based Neuromorphic Vision for Autonomous Driving: A Pa...
with: Tian, Q.: SDPT: Semantic-Aware Dimension-Pooling Transformer for Image...
with: Topcam, P.: 3D Object Detection with a Self-supervised Lidar Scene Flo...
with: Walter, F.: Review of Safe Reinforcement Learning: Methods, Theories, ...
with: Wang, F.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towar...
with: Wang, F.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D Li...
with: Wang, H.: DiGA: Distil to Generalize and then Adapt for Domain Adaptiv...
with: Wang, H.: LoopDA: Constructing Self-loops to Adapt Nighttime Semantic ...
with: Wang, H.T.: Survey of the Four Pillars for Small Object Detection: Mul...
with: Wang, J.: Review of Safe Reinforcement Learning: Methods, Theories, an...
with: Wang, M.N.: Globally Optimal Linear Model Fitting with Unit-Norm Const...
with: Wang, M.N.: Novel Method for the Absolute Pose Problem with Pairwise C...
with: Wang, Q.: EENet: An effective and efficient network for single image d...
with: Wang, T.H.: UMC: A Unified Bandwidth-efficient and Multi-resolution ba...
with: Wang, W.: Hierarchical Grid-based Multi-People Tracking-by-Detection W...
with: Wang, Y.R.: Globally Optimal Linear Model Fitting with Unit-Norm Const...
with: Weikersdorfer, D.: Multi-modality Gesture Detection and Recognition wi...
with: Wu, D.: Multi-modality Gesture Detection and Recognition with Un-super...
with: Wu, Y.: MAP: MAsk-Pruning for Source-Free Model Intellectual Property ...
with: Xia, J.H.: Embracing Events and Frames with Hierarchical Feature Refin...
with: Xia, Y.: Embracing Events and Frames with Hierarchical Feature Refinem...
with: Xia, Y.: Fast and deterministic (3+1)DOF point set registration with g...
with: Xiong, L.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D L...
with: Yan, Z.: Collaborative Semantic Occupancy Prediction with Hybrid Featu...
with: Yang, L.: Review of Safe Reinforcement Learning: Methods, Theories, an...
with: Yang, Z.J.: 3D Object Detection with a Self-supervised Lidar Scene Flo...
with: Yao, X.T.: Toward Intelligent Sensing: Optimizing Lidar Beam Distribut...
with: Yu, J.W.: Pseudo-Image and Sparse Points: Vehicle Detection With 2D Li...
with: Yun, Y.Q.: Context-Based Meta-Reinforcement Learning With Bayesian Non...
with: Yurtsever, E.: 3D Object Detection with a Self-supervised Lidar Scene ...
with: Zhang, B.: UMC: A Unified Bandwidth-efficient and Multi-resolution bas...
with: Zhang, C.: Image Grid Recognition and Regression for Fast and Accurate...
with: Zhang, F.H.: Cooperative vehicle-infrastructure localization based on ...
with: Zhang, F.H.: Fast and deterministic (3+1)DOF point set registration wi...
with: Zhang, F.H.: Globally Optimal Robust Radar Calibration in Intelligent ...
with: Zhang, F.H.: Transformation Decoupling Strategy Based on Screw Theory ...
with: Zhang, H.Z.: 3D Object Detection with a Self-supervised Lidar Scene Fl...
with: Zhang, L.J.: MoNet: Motion-Based Point Cloud Prediction Network
with: Zhang, X.P.: SDPT: Semantic-Aware Dimension-Pooling Transformer for Im...
with: Zhang, Y.P.: TMA: Temporal Motion Aggregation for Event-based Optical ...
with: Zhang, Z.: Embracing Events and Frames with Hierarchical Feature Refin...
with: Zhang, Z.Y.: NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle To...
with: Zhao, H.S.: SDPT: Semantic-Aware Dimension-Pooling Transformer for Ima...
with: Zhou, L.: Strong but Simple: A Baseline for Domain Generalized Dense P...
with: Zhou, L.G.: Image Grid Recognition and Regression for Fast and Accurat...
with: Zhou, L.G.: Improving Low-Resolution Image Classification by Super-Res...
with: Zhuang, G.H.: Toward Intelligent Sensing: Optimizing Lidar Beam Distri...
with: Ziaie, P.: Novel Approach to Hand-Gesture Recognition in a Human-Robot...
with: Zimmer, W.: Collaborative Semantic Occupancy Prediction with Hybrid Fe...
with: Zimmer, W.: Multi-Task Consistency for Active Learning
with: Zimmer, W.: Transformation Decoupling Strategy Based on Screw Theory f...
with: Zou, T.: HGL: Hierarchical Geometry Learning for Test-time Adaptation ...
with: Zou, T.: MAP: MAsk-Pruning for Source-Free Model Intellectual Property...
with: Zou, T.P.: LEAD: Learning Decomposition for Source-free Universal Doma...
with: Zou, T.P.: RPP-Net: Rigid Constrained Point Cloud Prediction Network
279 for Knoll, A.
Knoll, A.C.
Standard Author Listing
with: Aydt, H.: Partition-Based Match Making Algorithm for Dynamic Rideshari...
with: Bing, Z.S.: Intelligent Transportation Systems Using Roadside Infrastr...
with: Creß, C.: Intelligent Transportation Systems Using Roadside Infrastruc...
with: Huber, W.: Time to Shine: Fine-Tuning Object Detection Models with Syn...
with: Lees, M.H.: Partition-Based Match Making Algorithm for Dynamic Ridesha...
with: Pelzer, D.: Partition-Based Match Making Algorithm for Dynamic Ridesha...
with: Rothmeier, T.: Time to Shine: Fine-Tuning Object Detection Models with...
with: Song, R.: TUMTraf V2X Cooperative Perception Dataset
with: Sritharan, S.: TUMTraf V2X Cooperative Perception Dataset
with: Wardana, G.A.: TUMTraf V2X Cooperative Perception Dataset
with: Xiao, J.J.: Partition-Based Match Making Algorithm for Dynamic Ridesha...
with: Zehe, D.: Partition-Based Match Making Algorithm for Dynamic Rideshari...
with: Zhou, X.C.: TUMTraf V2X Cooperative Perception Dataset
with: Zimmer, W.: TUMTraf V2X Cooperative Perception Dataset
14 for Knoll, A.C.
Knoll, A.L.
Standard Author Listing
with: Ruf, C.S.: Characterization of River Width Measurement Capability by S...
with: Warnock, A.: Characterization of River Width Measurement Capability by...
Knoll, C.
Standard Author Listing
with: Alcaniz Raya, M.: Outlining of the prostate using snakes with shape re...
with: Chen, T.: Fixed Points of Belief Propagation: An Analysis via Polynomi...
with: Grau, V.: Outlining of the prostate using snakes with shape restrictio...
with: Hamprecht, F.A.: Weakly Supervised Learning of a Classifier for Unusua...
with: Jager, M.: Weakly Supervised Learning of a Classifier for Unusual Even...
with: Juan, M.C.: Outlining of the prostate using snakes with shape restrict...
with: Mehta, D.: Fixed Points of Belief Propagation: An Analysis via Polynom...
with: Monserrat, C.: Outlining of the prostate using snakes with shape restr...
with: Pernkopf, F.: Fixed Points of Belief Propagation: An Analysis via Poly...
with: Pernkopf, F.: Self-Guided Belief Propagation: A Homotopy Continuation ...
with: Weller, A.: Self-Guided Belief Propagation: A Homotopy Continuation Me...
11 for Knoll, C.
Knoll, D.
Standard Author Listing
with: Butler, Z.: Toward Integrated Scene Text Reading
with: Feild, J.: Toward Integrated Scene Text Reading
with: Weinman, J.J.: Toward Integrated Scene Text Reading
Knoll, F.
Standard Author Listing
with: Akcakaya, M.: Deep-Learning Methods for Parallel Magnetic Resonance Im...
with: Akcakaya, M.: Physics-Driven Deep Learning for Computational Magnetic ...
with: Arberet, S.: Results of the 2020 fastMRI Challenge for Machine Learnin...
with: Boada, F.: Evaluation of Parallel Level Sets and Bowsher's Method as S...
with: Bredies, K.: Evaluation of Parallel Level Sets and Bowsher's Method as...
with: Bredies, K.: Joint MR-PET Reconstruction Using a Multi-Channel Image R...
with: Bredies, K.: Total Generalized Variation in Diffusion Tensor Imaging
with: Ciuciu, P.: Results of the 2020 fastMRI Challenge for Machine Learning...
with: Effland, A.: Bayesian Uncertainty Estimation of Learned Variational MR...
with: Frahm, J.: Fast T2 Mapping With Improved Accuracy Using Undersampled S...
with: Hammernik, K.: Bayesian Uncertainty Estimation of Learned Variational ...
with: Hammernik, K.: Deep-Learning Methods for Parallel Magnetic Resonance I...
with: Hammernik, K.: Physics-Driven Deep Learning for Computational Magnetic...
with: Holler, M.: Evaluation of Parallel Level Sets and Bowsher's Method as ...
with: Holler, M.: Joint MR-PET Reconstruction Using a Multi-Channel Image Re...
with: Huang, Z.: Results of the 2020 fastMRI Challenge for Machine Learning ...
with: Huang, Z.N.: Physics-Driven Deep Learning for Computational Magnetic R...
with: Hwang, D.: Results of the 2020 fastMRI Challenge for Machine Learning ...
with: Jeong, G.: Results of the 2020 fastMRI Challenge for Machine Learning ...
with: Jun, Y.: Results of the 2020 fastMRI Challenge for Machine Learning MR...
with: Karkalousos, D.: Results of the 2020 fastMRI Challenge for Machine Lea...
with: Kim, S.: Results of the 2020 fastMRI Challenge for Machine Learning MR...
with: Ko, J.Y.: Results of the 2020 fastMRI Challenge for Machine Learning M...
with: Kobler, E.: Bayesian Uncertainty Estimation of Learned Variational MRI...
with: Koesters, T.: Joint MR-PET Reconstruction Using a Multi-Channel Image ...
with: Kustner, T.: Physics-Driven Deep Learning for Computational Magnetic R...
with: Lui, Y.W.: Results of the 2020 fastMRI Challenge for Machine Learning ...
with: Moeller, S.: Deep-Learning Methods for Parallel Magnetic Resonance Ima...
with: Mostapha, M.: Results of the 2020 fastMRI Challenge for Machine Learni...
with: Muckley, M.J.: Results of the 2020 fastMRI Challenge for Machine Learn...
with: Narnhofer, D.: Bayesian Uncertainty Estimation of Learned Variational ...
with: Nickel, D.: Results of the 2020 fastMRI Challenge for Machine Learning...
with: Nuyts, J.: Evaluation of Parallel Level Sets and Bowsher's Method as S...
with: Otazo, R.: Joint MR-PET Reconstruction Using a Multi-Channel Image Reg...
with: Petrovic, A.: Fast T2 Mapping With Improved Accuracy Using Undersample...
with: Pock, T.: Bayesian Uncertainty Estimation of Learned Variational MRI R...
with: Pock, T.: Deep-Learning Methods for Parallel Magnetic Resonance Imagin...
with: Pock, T.: Stable Deep MRI Reconstruction Using Generative Priors
with: Radmanesh, A.: Results of the 2020 fastMRI Challenge for Machine Learn...
with: Ramzi, Z.: Results of the 2020 fastMRI Challenge for Machine Learning ...
with: Rezaei, A.: Evaluation of Parallel Level Sets and Bowsher's Method as ...
with: Riemenschneider, B.: Results of the 2020 fastMRI Challenge for Machine...
with: Rueckert, D.: Physics-Driven Deep Learning for Computational Magnetic ...
with: Schramm, G.: Evaluation of Parallel Level Sets and Bowsher's Method as...
with: Shin, H.: Results of the 2020 fastMRI Challenge for Machine Learning M...
with: Sodickson, D.K.: Deep-Learning Methods for Parallel Magnetic Resonance...
with: Sodickson, D.K.: Joint MR-PET Reconstruction Using a Multi-Channel Ima...
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with: Starck, J.L.: Results of the 2020 fastMRI Challenge for Machine Learni...
with: Sumpf, T.J.: Fast T2 Mapping With Improved Accuracy Using Undersampled...
with: Teuwen, J.: Results of the 2020 fastMRI Challenge for Machine Learning...
with: Uecker, M.: Fast T2 Mapping With Improved Accuracy Using Undersampled ...
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59 for Knoll, F.
Knoll, J.
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with: Akila Subasinghe, A.: Accurate Image Processing Algorithm for Detectin...
with: Arachchige, A.S.: image processing algorithm for accurate extraction o...
with: Khan, W.: Accurate Image Processing Algorithm for Detecting FISH Probe...
with: Khan, W.: image processing algorithm for accurate extraction of the ce...
with: Rogan, P.: Accurate Image Processing Algorithm for Detecting FISH Prob...
with: Rogan, P.: image processing algorithm for accurate extraction of the c...
with: Samarabandu, J.: Accurate Image Processing Algorithm for Detecting FIS...
with: Samarabandu, J.: image processing algorithm for accurate extraction of...
8 for Knoll, J.
Knoll, P.
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with: Groller, E.: Jini service to reconstruct tomographic data, A
with: Holl, K.: Jini service to reconstruct tomographic data, A
with: Kohn, H.: Jini service to reconstruct tomographic data, A
with: Koriska, K.: Jini service to reconstruct tomographic data, A
with: Mirzaei, S.: Jini service to reconstruct tomographic data, A
Knoll, T.F.
Standard Author Listing
with: Delp, E.J.: Adaptive Gray Scale Mapping to Reduce Registration Noise i...
with: Jain, R.C.: Learning To Recognize Objects Using Feature Indexed Hypoth...
with: Jain, R.C.: Recognizing Partially Visible Objects Using Feature Indexe...
Knollmann, F.
Standard Author Listing
with: Fuhrman, C.: Computational Geometry Approach to Automated Pulmonary Fi...
with: Fuhrman, C.: Pulmonary Lobe Segmentation in CT Examinations Using Impl...
with: Gur, D.: Computational Geometry Approach to Automated Pulmonary Fissur...
with: Gur, D.: Pulmonary Lobe Segmentation in CT Examinations Using Implicit...
with: Klym, A.: Pulmonary Lobe Segmentation in CT Examinations Using Implici...
with: Leader, J.K.: Computational Geometry Approach to Automated Pulmonary F...
with: Leader, J.K.: Pulmonary Lobe Segmentation in CT Examinations Using Imp...
with: Pu, J.T.: Computational Geometry Approach to Automated Pulmonary Fissu...
with: Pu, J.T.: Pulmonary Lobe Segmentation in CT Examinations Using Implici...
with: Sciurba, F.C.: Computational Geometry Approach to Automated Pulmonary ...
with: Zheng, B.: Computational Geometry Approach to Automated Pulmonary Fiss...
with: Zheng, B.: Pulmonary Lobe Segmentation in CT Examinations Using Implic...
12 for Knollmann, F.