Kothala, L.P.
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with: Guntur, S.R.: efficient stacked bidirectional GRU-LSTM network for int...
Kothandapani, S.D.
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with: Dhar, P.: HPKNN: Hyper-parameter optimized KNN classifier for classifi...
with: Padmanabhan, S.: HPKNN: Hyper-parameter optimized KNN classifier for c...
with: Satti, S.K.: HPKNN: Hyper-parameter optimized KNN classifier for class...
Kothandaraman, D.
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with: Bera, A.: Placing Human Animations into 3D Scenes by Learning Interact...
with: Chandra, R.: BoMuDANet: Unsupervised Adaptation for Visual Scene Under...
with: Chandra, R.: SS-SFDA: Self-Supervised Source-Free Domain Adaptation fo...
with: Ghuhan, M.: SALAD: Source-free Active Label-Agnostic Domain Adaptation...
with: Guan, T.R.: FAR: Fourier Aerial Video Recognition
with: Hu, S.: FAR: Fourier Aerial Video Recognition
with: Lin, M.: FAR: Fourier Aerial Video Recognition
with: Manocha, D.: BoMuDANet: Unsupervised Adaptation for Visual Scene Under...
with: Manocha, D.: FAR: Fourier Aerial Video Recognition
with: Manocha, D.: Placing Human Animations into 3D Scenes by Learning Inter...
with: Manocha, D.: PMI Sampler: Patch Similarity Guided Frame Selection For ...
with: Manocha, D.: SALAD: Source-free Active Label-Agnostic Domain Adaptatio...
with: Manocha, D.: SS-SFDA: Self-Supervised Source-Free Domain Adaptation fo...
with: Mittal, A.: Domain Adaptive Knowledge Distillation for Driving Scene S...
with: Mullen, J.F.: Placing Human Animations into 3D Scenes by Learning Inte...
with: Nambiar, A.: Domain Adaptive Knowledge Distillation for Driving Scene ...
with: Sancheti, A.: SALAD: Source-free Active Label-Agnostic Domain Adaptati...
with: Shekhar, S.: SALAD: Source-free Active Label-Agnostic Domain Adaptatio...
with: Shukla, T.: SALAD: Source-free Active Label-Agnostic Domain Adaptation...
with: Wang, X.: FAR: Fourier Aerial Video Recognition
with: Wang, X.: PMI Sampler: Patch Similarity Guided Frame Selection For Aer...
with: Xian, R.Q.: PMI Sampler: Patch Similarity Guided Frame Selection For A...
22 for Kothandaraman, D.
Kothandaraman, S.
Standard Author Listing
with: Chitty Venkata, K.T.: Searching Architecture and Precision for U-net b...
with: Somani, A.K.: Searching Architecture and Precision for U-net based Ima...
Kothapalli, K.
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with: Varma, G.: Dynamic Block Sparse Reparameterization of Convolutional Ne...
with: Vooturi, D.T.: Dynamic Block Sparse Reparameterization of Convolutiona...
Kothapalli, S.R.
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with: Agrawal, S.: Simultaneous Denoising and Localization Network for Photo...
with: Johnstonbaugh, K.: Simultaneous Denoising and Localization Network for...
with: Monga, V.: Simultaneous Denoising and Localization Network for Photoac...
with: Yazdani, A.: Simultaneous Denoising and Localization Network for Photo...
Kothari, A.
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with: Bhurchandi, K.M.: Digital Image Noise Estimation Using DWT Coefficients
with: Kamble, V.M.: Digital Image Noise Estimation Using DWT Coefficients
with: Page, R.: Digital Image Noise Estimation Using DWT Coefficients
with: Pimpalkhute, V.A.: Digital Image Noise Estimation Using DWT Coefficients
Kothari, A.G.
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with: Bhurchandi, K.M.: Expression invariant face recognition using contourl...
with: Patil, H.Y.: Expression invariant face recognition using contourlet tr...
Kothari, A.M.
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with: Patel, M.J.: Deep Learning-Enabled Road Segmentation and Edge-Centerli...
Kothari, A.R.
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with: Girish, G.N.: Marker controlled watershed transform for intra-retinal ...
with: Rajan, J.: Marker controlled watershed transform for intra-retinal cys...
Kothari, G.
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with: Faruquie, T.A.: Transfer of Supervision for Improved Address Standardi...
with: Mohania, M.K.: Transfer of Supervision for Improved Address Standardiz...
with: Prasad, K.H.: Transfer of Supervision for Improved Address Standardiza...
with: Subramaniam, L.V.: Transfer of Supervision for Improved Address Standa...
Kothari, J.
Standard Author Listing
with: Gupta, R.K.: System for capability based multimedia streaming over a n...
with: Sahai, A.: System for capability based multimedia streaming over a net...
Kothari, M.
Standard Author Listing
with: Atzori, A.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Baltsou, G.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Biesseck, B.: FRCSyn Challenge at WACV 2024: Face Recognition Challeng...
with: Borghi, G.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Boutros, F.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Damer, N.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge i...
with: DeAndres Tame, I.: FRCSyn Challenge at WACV 2024: Face Recognition Cha...
with: Deb, D.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in ...
with: di Domenico, N.: FRCSyn Challenge at WACV 2024: Face Recognition Chall...
with: Diou, C.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in...
with: Ecabert, C.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Fenu, G.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in...
with: Fickel, G.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Fierrez, J.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Fuhr, G.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in...
with: George, A.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Ghosh, A.: Aggregation Pheromone Density Based Image Segmentation
with: Ghosh, A.: Use of aggregation pheromone density for image segmentation
with: Ghosh, S.: Aggregation Pheromone Density Based Image Segmentation
with: Ghosh, S.: Use of aggregation pheromone density for image segmentation
with: Granada, R.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Halder, A.: Aggregation Pheromone Density Based Image Segmentation
with: Halder, A.: Use of aggregation pheromone density for image segmentation
with: Kim, M.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in ...
with: Koutlis, C.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Lei, Z.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in ...
with: Liu, X.M.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge i...
with: Marcel, S.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Marras, M.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Mas Candela, E.: FRCSyn Challenge at WACV 2024: Face Recognition Chall...
with: Melzi, P.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge i...
with: Menotti, D.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Morales, A.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Ortega Garcia, J.: FRCSyn Challenge at WACV 2024: Face Recognition Cha...
with: Papadopoulos, S.: FRCSyn Challenge at WACV 2024: Face Recognition Chal...
with: Pellegrini, L.: FRCSyn Challenge at WACV 2024: Face Recognition Challe...
with: Rahimi, P.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Rathgeb, C.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Sahoo, S.R.: Circumnavigation on Multiple Circles Around a Nonstationa...
with: Sanchez Perez, A.: FRCSyn Challenge at WACV 2024: Face Recognition Cha...
with: Sarridis, I.: FRCSyn Challenge at WACV 2024: Face Recognition Challeng...
with: Sen, A.: Circumnavigation on Multiple Circles Around a Nonstationary T...
with: Shahreza, H.O.: FRCSyn Challenge at WACV 2024: Face Recognition Challe...
with: Tolosana, R.: FRCSyn Challenge at WACV 2024: Face Recognition Challeng...
with: Tripathi, S.: FRCSyn Challenge at WACV 2024: Face Recognition Challeng...
with: Unnervik, A.: FRCSyn Challenge at WACV 2024: Face Recognition Challeng...
with: Vera Rodriguez, R.: FRCSyn Challenge at WACV 2024: Face Recognition Ch...
with: Vidal, P.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge i...
with: Wu, J.L.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in...
with: Yan, Z.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in ...
with: Zama, M.H.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Zhang, X.Y.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge...
with: Zhao, W.S.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge ...
with: Zhu, X.Y.: FRCSyn Challenge at WACV 2024: Face Recognition Challenge i...
54 for Kothari, M.
Kothari, N.
Standard Author Listing
with: Abu El Haija, S.: YouTube-8M: A Large-Scale Video Classification Bench...
with: Channappayya, S.S.: Generating Image Distortion Maps Using Convolution...
with: Dendi, S.V.R.: Generating Image Distortion Maps Using Convolutional Au...
with: Dev, C.: Generating Image Distortion Maps Using Convolutional Autoenco...
with: Dias, M.B.: Robust Indoor Localization on a Commercial Smart-Phone
with: Hegde, A.: Light-Weight Human Eye Fixation Solution for Smartphone App...
with: Kannan, B.: Robust Indoor Localization on a Commercial Smart-Phone
with: Lee, J.: YouTube-8M: A Large-Scale Video Classification Benchmark
with: Natsev, P.: YouTube-8M: A Large-Scale Video Classification Benchmark
with: Radarapu, R.: Light-Weight Human Eye Fixation Solution for Smartphone ...
with: Toderici, G.: YouTube-8M: A Large-Scale Video Classification Benchmark
with: Varadarajan, B.: YouTube-8M: A Large-Scale Video Classification Benchm...
with: Velusamy, S.: Light-Weight Human Eye Fixation Solution for Smartphone ...
with: Vijayanarasimhan, S.: YouTube-8M: A Large-Scale Video Classification B...
14 for Kothari, N.
Kothari, N.S.
Standard Author Listing
with: Meher, S.K.: Interpretable Rule-Based Fuzzy ELM and Domain Adaptation ...
Kothari, P.
Standard Author Listing
with: Alahi, A.: Human Trajectory Forecasting in Crowds: A Deep Learning Per...
with: Alahi, A.: Interpretable Social Anchors for Human Trajectory Forecasti...
with: Alahi, A.: Safety-Compliant Generative Adversarial Networks for Human ...
with: Kreiss, S.: Human Trajectory Forecasting in Crowds: A Deep Learning Pe...
with: Sifringer, B.: Interpretable Social Anchors for Human Trajectory Forec...
Kothari, R.
Standard Author Listing
with: Acharya, M.: RITnet: Real-time Semantic Segmentation of the Eye for Ga...
with: Bailey, R.: RITnet: Real-time Semantic Segmentation of the Eye for Gaz...
with: Balachander, T.: Introducing Locality and Softness in Subspace Classif...
with: Bellando, J.: Optical Flow Determination Using Topology Preserving Map...
with: Bellando, J.: Region-based modeling and tree edit distance as a basis ...
with: Byeon, W.: Weakly-Supervised Physically Unconstrained Gaze Estimation
with: Chandra, B.: new node splitting measure for decision tree construction...
with: Chaudhary, A.K.: RITnet: Real-time Semantic Segmentation of the Eye fo...
with: Dangi, S.: RITnet: Real-time Semantic Segmentation of the Eye for Gaze...
with: Dantcheva, A.: Explainable Fingerprint ROI Segmentation Using Monte Ca...
with: de Mello, S.: Weakly-Supervised Physically Unconstrained Gaze Estimation
with: Diaz, G.: RITnet: Real-time Semantic Segmentation of the Eye for Gaze ...
with: Dong, M.: Feature subset selection using a new definition of classifia...
with: Iqbal, U.: Weakly-Supervised Physically Unconstrained Gaze Estimation
with: Joshi, I.: Explainable Fingerprint ROI Segmentation Using Monte Carlo ...
with: Kalra, P.K.: Explainable Fingerprint ROI Segmentation Using Monte Carl...
with: Kanan, C.: RITnet: Real-time Semantic Segmentation of the Eye for Gaze...
with: Kautz, J.: Weakly-Supervised Physically Unconstrained Gaze Estimation
with: Kurmi, V.K.: Explainable Fingerprint ROI Segmentation Using Monte Carl...
with: Lotlikar, R.: Adaptive linear dimensionality reduction for classificat...
with: Lotlikar, R.: Fractional-Step Dimensionality Reduction
with: Mitchell, J.: Detection of Eye Locations in Unconstrained Visual Images
with: Nair, N.: RITnet: Real-time Semantic Segmentation of the Eye for Gaze ...
with: Park, S.: Weakly-Supervised Physically Unconstrained Gaze Estimation
with: Paul, P.: new node splitting measure for decision tree construction, A
with: Pelz, J.B.: RITnet: Real-time Semantic Segmentation of the Eye for Gaz...
with: Pitts, D.: On finding the number of clusters
with: Roy, S.D.: Explainable Fingerprint ROI Segmentation Using Monte Carlo ...
with: Utkarsh, A.: Explainable Fingerprint ROI Segmentation Using Monte Carl...
29 for Kothari, R.
Kothawade, S.
Standard Author Listing
with: Beck, N.: Beyond Active Learning: Leveraging the Full Potential of Hum...
with: Dargan, K.: Demystifying Multi-Faceted Video Summarization: Tradeoff B...
with: Doctor, K.: Demystifying Multi-Faceted Video Summarization: Tradeoff B...
with: Doctor, K.: Learning From Less Data: A Unified Data Subset Selection a...
with: Dubal, P.: Demystifying Multi-Faceted Video Summarization: Tradeoff Be...
with: Ghosh, S.: Talisman: Targeted Active Learning for Object Detection wit...
with: Iyer, R.: Beyond Active Learning: Leveraging the Full Potential of Hum...
with: Iyer, R.: Demystifying Multi-Faceted Video Summarization: Tradeoff Bet...
with: Iyer, R.: Framework Towards Domain Specific Video Summarization, A
with: Iyer, R.: Learning From Less Data: A Unified Data Subset Selection and...
with: Iyer, R.: Talisman: Targeted Active Learning for Object Detection with...
with: Kaushal, V.: Demystifying Multi-Faceted Video Summarization: Tradeoff ...
with: Kaushal, V.: Framework Towards Domain Specific Video Summarization, A
with: Kaushal, V.: Learning From Less Data: A Unified Data Subset Selection ...
with: Killamsetty, K.: Beyond Active Learning: Leveraging the Full Potential...
with: Mahadev, R.: Demystifying Multi-Faceted Video Summarization: Tradeoff ...
with: Mahadev, R.: Learning From Less Data: A Unified Data Subset Selection ...
with: Ramakrishnan, G.: Demystifying Multi-Faceted Video Summarization: Trad...
with: Ramakrishnan, G.: Framework Towards Domain Specific Video Summarizatio...
with: Ramakrishnan, G.: Learning From Less Data: A Unified Data Subset Selec...
with: Sahoo, A.: Demystifying Multi-Faceted Video Summarization: Tradeoff Be...
with: Shekhar, S.: Talisman: Targeted Active Learning for Object Detection w...
with: Subramanian, S.: Framework Towards Domain Specific Video Summarization...
with: Xiang, Y.: Talisman: Targeted Active Learning for Object Detection wit...
24 for Kothawade, S.
Kothe, S.
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with: Ahrens, B.: Satellite-Based Sunshine Duration for Europe
with: Cremer, R.: Satellite-Based Sunshine Duration Climate Data Record for ...
with: Good, E.: Satellite-Based Sunshine Duration for Europe
with: Hollmann, R.: CM SAF R Toolbox: A Tool for the Easy Usage of Satellite...
with: Hollmann, R.: Satellite-Based Sunshine Duration Climate Data Record fo...
with: Nitsche, H.: Satellite-Based Sunshine Duration for Europe
with: Obregon, A.: Satellite-Based Sunshine Duration for Europe
with: Pfeifroth, U.: CM SAF R Toolbox: A Tool for the Easy Usage of Satellit...
with: Pfeifroth, U.: Satellite-Based Sunshine Duration Climate Data Record f...
with: Trager Chatterjee, C.: CM SAF R Toolbox: A Tool for the Easy Usage of ...
with: Trentmann, J.: CM SAF R Toolbox: A Tool for the Easy Usage of Satellit...
with: Trentmann, J.: Satellite-Based Sunshine Duration Climate Data Record f...
12 for Kothe, S.
Kothe, U.
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with: Andres, B.: Efficient Fusion Move Algorithm for the Minimum Cost Lifte...
with: Andres, B.: Empirical Comparison of Inference Algorithms for Graphical...
with: Andres, B.: Lazy Flipper: Efficient Depth-Limited Exhaustive Search in...
with: Andres, B.: On errors-in-variables regression with arbitrary covarianc...
with: Andres, B.: Probabilistic image segmentation with closedness constraints
with: Andres, B.: Quantitative Assessment of Image Segmentation Quality by R...
with: Andres, B.: Segmentation of SBFSEM Volume Data of Neural Tissue by Hie...
with: Ardizzone, L.: Conditional Invertible Neural Networks for Diverse Imag...
with: Ardizzone, L.: Generative Classifiers as a Basis for Trustworthy Image...
with: Ardizzone, L.: Towards Multimodal Depth Estimation from Light Fields
with: Ardizzone, L.: Training Invertible Neural Networks as Autoencoders
with: Bahnisch, C.: Fast and Accurate 3D Edge Detection for Surface Reconstr...
with: Bailoni, A.: Mutex Watershed and its Objective: Efficient, Parameter-F...
with: Bailoni, A.: Mutex Watershed: Efficient, Parameter-Free Image Partitio...
with: Beier, T.: Cut, Glue, & Cut: A Fast, Approximate Solver for Multic...
with: Beier, T.: Efficient Fusion Move Algorithm for the Minimum Cost Lifted...
with: Beier, T.: Lazy Flipper: Efficient Depth-Limited Exhaustive Search in ...
with: Beier, T.: Neuron Segmentation With High-Level Biological Priors
with: Beier, T.: Probabilistic image segmentation with closedness constraints
with: Bonea, A.: Quantitative Assessment of Image Segmentation Quality by Ra...
with: Bracher, N.: Conditional Invertible Neural Networks for Diverse Image-...
with: Denk, W.: Segmentation of SBFSEM Volume Data of Neural Tissue by Hiera...
with: Draxler, F.: Characterizing the Role of a Single Coupling Layer in Aff...
with: Draxler, F.: Riemannian SOS-Polynomial Normalizing Flows
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with: Felsberg, M.: GET: The Connection Between Monogenic Scale-Space and Ga...
with: Felsberg, M.: Riesz-Transforms Versus Derivatives: On the Relationship...
with: Frank, M.: Theoretical and experimental error analysis of continuous-w...
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with: Hamprecht, F.A.: Cut, Glue, & Cut: A Fast, Approximate Solver for ...
with: Hamprecht, F.A.: Efficient Fusion Move Algorithm for the Minimum Cost ...
with: Hamprecht, F.A.: Empirical Comparison of Inference Algorithms for Grap...
with: Hamprecht, F.A.: K-Smallest Spanning Tree Segmentations
with: Hamprecht, F.A.: Lazy Flipper: Efficient Depth-Limited Exhaustive Sear...
with: Hamprecht, F.A.: Learned Watershed: End-to-End Learning of Seeded Segm...
with: Hamprecht, F.A.: Multivariate Watershed Segmentation of Compositional ...
with: Hamprecht, F.A.: Mutex Watershed and its Objective: Efficient, Paramet...
with: Hamprecht, F.A.: Mutex Watershed: Efficient, Parameter-Free Image Part...
with: Hamprecht, F.A.: Neuron Segmentation With High-Level Biological Priors
with: Hamprecht, F.A.: On errors-in-variables regression with arbitrary cova...
with: Hamprecht, F.A.: Probabilistic image segmentation with closedness cons...
with: Hamprecht, F.A.: Quantitative Assessment of Image Segmentation Quality...
with: Hamprecht, F.A.: Segmentation of SBFSEM Volume Data of Neural Tissue b...
with: Hamprecht, F.A.: Theoretical and experimental error analysis of contin...
with: Hanselmann, M.: Multivariate Watershed Segmentation of Compositional D...
with: Heeren, R.M.A.: Multivariate Watershed Segmentation of Compositional D...
with: Helmstaedter, M.N.: Segmentation of SBFSEM Volume Data of Neural Tissu...
with: Jahne, B.: Theoretical and experimental error analysis of continuous-w...
with: Kappes, J.H.: Cut, Glue, & Cut: A Fast, Approximate Solver for Mul...
with: Kappes, J.H.: Empirical Comparison of Inference Algorithms for Graphic...
with: Kappes, J.H.: Lazy Flipper: Efficient Depth-Limited Exhaustive Search ...
with: Kappes, J.H.: Probabilistic image segmentation with closedness constra...
with: Keuper, J.: Object Segmentation Using Pixel-Wise Adversarial Loss
with: Kirchner, M.: Multivariate Watershed Segmentation of Compositional Data
with: Knott, G.W.: Neuron Segmentation With High-Level Biological Priors
with: Kondermann, C.: On errors-in-variables regression with arbitrary covar...
with: Kondermann, D.: On errors-in-variables regression with arbitrary covar...
with: Krasowski, N.E.: Neuron Segmentation With High-Level Biological Priors
with: Kreshuk, A.: Mutex Watershed and its Objective: Efficient, Parameter-F...
with: Kreshuk, A.: Mutex Watershed: Efficient, Parameter-Free Image Partitio...
with: Kreshuk, A.: Neuron Segmentation With High-Level Biological Priors
with: Kroeger, T.: Cut, Glue, & Cut: A Fast, Approximate Solver for Mult...
with: Kruse, J.: Conditional Invertible Neural Networks for Diverse Image-to...
with: Leistner, T.: Towards Multimodal Depth Estimation from Light Fields
with: Luth, C.: Conditional Invertible Neural Networks for Diverse Image-to-...
with: Mackowiak, R.: Generative Classifiers as a Basis for Trustworthy Image...
with: Mackowiak, R.: Towards Multimodal Depth Estimation from Light Fields
with: Meine, H.: New Sub-pixel Map for Image Analysis, A
with: Meine, H.: Pixel Approximation Errors in Common Watershed Algorithms
with: Meine, H.: Provably Correct Edgel Linking and Subpixel Boundary Recons...
with: Nadler, B.: Quantitative Assessment of Image Segmentation Quality by R...
with: Nguyen, T.G.L.: Training Invertible Neural Networks as Autoencoders
with: Pape, C.: Mutex Watershed and its Objective: Efficient, Parameter-Free...
with: Pape, C.: Mutex Watershed: Efficient, Parameter-Free Image Partitionin...
with: Peter, S.: K-Smallest Spanning Tree Segmentations
with: Pfreundt, F.J.: Object Segmentation Using Pixel-Wise Adversarial Loss
with: Plaue, M.: Theoretical and experimental error analysis of continuous-w...
with: Rahaman, N.: Mutex Watershed and its Objective: Efficient, Parameter-F...
with: Rahaman, N.: Mutex Watershed: Efficient, Parameter-Free Image Partitio...
with: Rapp, H.: Theoretical and experimental error analysis of continuous-wa...
with: Renard, B.Y.: Multivariate Watershed Segmentation of Compositional Data
with: Rother, C.: Conditional Invertible Neural Networks for Diverse Image-t...
with: Rother, C.: Generative Classifiers as a Basis for Trustworthy Image Cl...
with: Rother, C.: Towards Multimodal Depth Estimation from Light Fields
with: Schnorr, C.: Characterizing the Role of a Single Coupling Layer in Aff...
with: Schnorr, C.: Empirical Comparison of Inference Algorithms for Graphica...
with: Schnorr, C.: Riemannian SOS-Polynomial Normalizing Flows
with: Schott, L.: Learned Watershed: End-to-End Learning of Seeded Segmentat...
with: Schwarz, J.: Characterizing the Role of a Single Coupling Layer in Aff...
with: Schwarz, J.: Riemannian SOS-Polynomial Normalizing Flows
with: Stelldinger, P.: Fast and Accurate 3D Edge Detection for Surface Recon...
with: Stelldinger, P.: Pixel Approximation Errors in Common Watershed Algori...
with: Stelldinger, P.: Provably Correct Edgel Linking and Subpixel Boundary ...
with: Stelldinger, P.: Shape Preservation during Digitization: Tight Bounds ...
with: Stelldinger, P.: Towards a general sampling theory for shape preservat...
with: Straehle, C.: K-Smallest Spanning Tree Segmentations
with: Wolf, S.: Learned Watershed: End-to-End Learning of Seeded Segmentation
with: Wolf, S.: Mutex Watershed and its Objective: Efficient, Parameter-Free...
with: Wolf, S.: Mutex Watershed: Efficient, Parameter-Free Image Partitionin...
99 for Kothe, U.
Kothyari, G.C.
Standard Author Listing
with: Borgohain, R.: Assessment of Active Ground Subsidence in the Dibrugarh...
with: Changmai, J.: Assessment of Active Ground Subsidence in the Dibrugarh ...
with: Choudhury, T.: Assessment of Active Ground Subsidence in the Dibrugarh...
with: Johnson, B.A.: Geospatial Technology-Based Analysis of Air Quality in ...
with: Kotlia, B.S.: Geospatial Technology-Based Analysis of Air Quality in I...
with: Kumar, A.: Geospatial Technology-Based Analysis of Air Quality in Indi...
with: Kumar, P.: Geospatial Technology-Based Analysis of Air Quality in Indi...
with: Kumari, M.: Geospatial Technology-Based Analysis of Air Quality in Ind...
with: Lakhote, A.: Assessment of Active Ground Subsidence in the Dibrugarh a...
with: Patidar, A.K.: Assessment of Active Ground Subsidence in the Dibrugarh...
with: Singh, A.K.: Geospatial Technology-Based Analysis of Air Quality in In...
with: Taloor, A.K.: Geospatial Technology-Based Analysis of Air Quality in I...
with: Tiwari, S.P.: Geospatial Technology-Based Analysis of Air Quality in I...
with: Tripathi, J.N.: Geospatial Technology-Based Analysis of Air Quality in...
with: Um, J.S.: Assessment of Active Ground Subsidence in the Dibrugarh and ...
15 for Kothyari, G.C.