Index for chaw

Chaw, J.K. Standard Author Listing
     with: Mokji, M.: Analysis of produce recognition system with taxonomist's kn...

Chaware, A. Standard Author Listing
     with: Ando, D.M.: Physics-Enhanced Machine Learning for Virtual Fluorescence...
     with: Cooke, C.L.: Physics-Enhanced Machine Learning for Virtual Fluorescenc...
     with: Horstmeyer, R.: Physics-Enhanced Machine Learning for Virtual Fluoresc...
     with: Kim, K.: Physics-Enhanced Machine Learning for Virtual Fluorescence Mi...
     with: Konda, P.C.: Physics-Enhanced Machine Learning for Virtual Fluorescenc...
     with: Kong, F.: Physics-Enhanced Machine Learning for Virtual Fluorescence M...
     with: Xu, R.: Physics-Enhanced Machine Learning for Virtual Fluorescence Mic...
     with: Yang, S.J.: Physics-Enhanced Machine Learning for Virtual Fluorescence...
     with: Zhou, K.C.: Physics-Enhanced Machine Learning for Virtual Fluorescence...
9 for Chaware, A.

Chawarski, J. Standard Author Listing
     with: Albu, A.B.: Detecting Underwater Discrete Scatterers in Echograms with...
     with: Cote, M.: Detecting Underwater Discrete Scatterers in Echograms with D...
     with: Dash, A.: Detecting Underwater Discrete Scatterers in Echograms with D...
     with: Ersahin, K.: Detecting Underwater Discrete Scatterers in Echograms wit...
     with: Pearce, S.: Detecting Underwater Discrete Scatterers in Echograms with...
     with: Senjaliya, F.: Detecting Underwater Discrete Scatterers in Echograms w...
     with: Vohra, R.: Detecting Underwater Discrete Scatterers in Echograms with ...
7 for Chawarski, J.

Chawathe, M. Standard Author Listing
     with: Beveridge, J.R.: Accelerated image processing on FPGAs
     with: Beveridge, J.R.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Beveridge, J.R.: Implementing image applications on FPGAs
     with: Bins, J.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Bohm, A.P.W.: Accelerated image processing on FPGAs
     with: Bohm, A.P.W.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Bohm, A.P.W.: Implementing image applications on FPGAs
     with: Desai, M.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Draper, B.A.: Accelerated image processing on FPGAs
     with: Draper, B.A.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Draper, B.A.: Implementing image applications on FPGAs
     with: Hammes, J.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Najjar, W.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Ross, C.: Accelerated image processing on FPGAs
     with: Ross, C.: Compiling SA-C Programs to FPGAs: Performance Results
     with: Ross, C.: Implementing image applications on FPGAs
16 for Chawathe, M.

Chawda, A. Standard Author Listing
     with: Berns, K.: Quantifiable Robustness Estimation for Object Detection wit...
     with: Manjunath, M.K.B.: Quantifiable Robustness Estimation for Object Detec...
     with: Vierling, A.: Quantifiable Robustness Estimation for Object Detection ...

Chawda, B. Standard Author Listing
     with: Joseph, S.L.: Being Aware of the World: Toward Using Social Media to S...
     with: Mehta, S.: Being Aware of the World: Toward Using Social Media to Supp...
     with: Narang, K.: Being Aware of the World: Toward Using Social Media to Sup...
     with: Rajput, N.: Being Aware of the World: Toward Using Social Media to Sup...
     with: Subramaniam, L.V.: Being Aware of the World: Toward Using Social Media...
     with: Xiao, J.: Being Aware of the World: Toward Using Social Media to Suppo...
     with: Zhang, X.: Being Aware of the World: Toward Using Social Media to Supp...
7 for Chawda, B.

Chawda, P. Standard Author Listing
     with: Dawson, D.M.: Adaptive 2.5D visual servoing of cartesian robots
     with: Dawson, D.M.: Homography-based visual servo regulation of mobile robots
     with: Dixon, W.E.: Adaptive 2.5D visual servoing of cartesian robots
     with: Dixon, W.E.: Homography-based visual servo regulation of mobile robots
     with: Fang, Y.C.: Adaptive 2.5D visual servoing of cartesian robots
     with: Fang, Y.C.: Homography-based visual servo regulation of mobile robots

Chawdhary, A. Standard Author Listing
     with: Jones, W.: Optimising the Volgenant-Jonker algorithm for approximating...
     with: Jones, W.: Revisiting Volgenant-Jonker for Approximating Graph Edit Di...
     with: King, A.: Optimising the Volgenant-Jonker algorithm for approximating ...
     with: King, A.: Revisiting Volgenant-Jonker for Approximating Graph Edit Dis...

Chawla, A. Standard Author Listing
     with: Alvarez, J.: Data-free Knowledge Distillation for Object Detection
     with: Edupuganti, V.G.: Automatic Optic Disk and Cup Segmentation of Fundus ...
     with: Kale, A.: Automatic Optic Disk and Cup Segmentation of Fundus Images U...
     with: Molchanov, P.: Data-free Knowledge Distillation for Object Detection
     with: Yin, H.X.: Data-free Knowledge Distillation for Object Detection

Chawla, A.K. Standard Author Listing
     with: Bansal, V.: Reverse scan for transform skip mode in HEVC codec
     with: Shukla, M.N.: Reverse scan for transform skip mode in HEVC codec

Chawla, G. Standard Author Listing
     with: Filipi, L.: Practical and Scalable Desktop-Based High-Quality Facial C...
     with: Ghosh, A.: Practical and Scalable Desktop-Based High-Quality Facial Ca...
     with: Guarnera, G.C.: Practical and Scalable Desktop-Based High-Quality Faci...
     with: Kannan, J.: Practical and Scalable Desktop-Based High-Quality Facial C...
     with: Lattas, A.: Practical and Scalable Desktop-Based High-Quality Facial C...
     with: Lin, Y.M.: Practical and Scalable Desktop-Based High-Quality Facial Ca...
     with: Ozturk, E.: Practical and Scalable Desktop-Based High-Quality Facial C...
7 for Chawla, G.

Chawla, H. Standard Author Listing
     with: Arani, E.: Continual Learning of Unsupervised Monocular Depth from Vid...
     with: Varma, A.: Continual Learning of Unsupervised Monocular Depth from Vid...
     with: Zonooz, B.: Continual Learning of Unsupervised Monocular Depth from Vi...

Chawla, K. Standard Author Listing
     with: Goyal, B.: Attention-Based Ensemble for Deep Metric Learning
     with: Kim, W.S.: Attention-Based Ensemble for Deep Metric Learning
     with: Kwon, K.: Attention-Based Ensemble for Deep Metric Learning
     with: Lee, J.M.: Attention-Based Ensemble for Deep Metric Learning

Chawla, M. Standard Author Listing
     with: Chellappa, R.: Disguised Faces in the Wild 2019
     with: Singh, M.: Disguised Faces in the Wild 2019
     with: Singh, R.: Disguised Faces in the Wild 2019
     with: Vatsa, M.: Disguised Faces in the Wild 2019

Chawla, N. Standard Author Listing
     with: Azeredo, B.: Computational Imaging in 3D X-Ray Microscopy: Reconstruct...
     with: Boesch, T.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural...
     with: Bowyer, K.W.: Bagging Is a Small-Data-Set Phenomenon
     with: d'Alto, V.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural...
     with: de Ambroggi, F.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded N...
     with: de Andrade, V.: Computational Imaging in 3D X-Ray Microscopy: Reconstr...
     with: de Carlo, F.: Computational Imaging in 3D X-Ray Microscopy: Reconstruc...
     with: Desoli, G.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural...
     with: Guidetti, E.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neur...
     with: Hall, L.O.: Bagging Is a Small-Data-Set Phenomenon
     with: Kegelmeyer, P.: Bagging Is a Small-Data-Set Phenomenon
     with: Kublik, N.: Computational Imaging in 3D X-Ray Microscopy: Reconstructi...
     with: Majo, T.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural N...
     with: Moore, T.E.: Bagging Is a Small-Data-Set Phenomenon
     with: Niauzorau, S.: Computational Imaging in 3D X-Ray Microscopy: Reconstru...
     with: Nikitin, V.: Computational Imaging in 3D X-Ray Microscopy: Reconstruct...
     with: Niverty, S.: Computational Imaging in 3D X-Ray Microscopy: Reconstruct...
     with: Pau, D.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural Ne...
     with: Plebani, E.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neura...
     with: Singh, S.P.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neura...
     with: Springer, C.: Bagging Is a Small-Data-Set Phenomenon
     with: Tekawade, A.: Computational Imaging in 3D X-Ray Microscopy: Reconstruc...
     with: Tomaselli, V.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neu...
     with: Torbatissaraf, H.: Computational Imaging in 3D X-Ray Microscopy: Recon...
     with: Urlini, G.: Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural...
25 for Chawla, N.

Chawla, N.V. Standard Author Listing
     with: Alaiz Rodriguez, R.: unifying view on dataset shift in classification, A
     with: Bowyer, K.W.: Distributed learning with bagging-like performance
     with: Bowyer, K.W.: Learning to predict gender from iris images
     with: Bowyer, K.W.: Random Subspaces and Subsampling for 2-D Face Recognition
     with: Cleland Huang, J.: Detecting Anomalies in Small Unmanned Aerial System...
     with: Ditzler, G.: Incremental Learning Algorithm for Non-stationary Environ...
     with: Flynn, P.J.: Learning to predict gender from iris images
     with: Hall, L.O.: Distributed learning with bagging-like performance
     with: Herrera, F.: unifying view on dataset shift in classification, A
     with: Islam, M.N.A.: Detecting Anomalies in Small Unmanned Aerial Systems vi...
     with: Kegelmeyer, W.P.: Distributed learning with bagging-like performance
     with: Krasser, S.: SVMs Modeling for Highly Imbalanced Classification
     with: Ma, Y.H.: Detecting Anomalies in Small Unmanned Aerial Systems via Gra...
     with: Moore, T.E.: Distributed learning with bagging-like performance
     with: Moreno Torres, J.G.: unifying view on dataset shift in classification, A
     with: Polikar, R.: Incremental Learning Algorithm for Non-stationary Environ...
     with: Raeder, T.: unifying view on dataset shift in classification, A
     with: Springer, C.: Distributed learning with bagging-like performance
     with: Steinhaeuser, K.: Identifying and evaluating community structure in co...
     with: Tang, Y.: SVMs Modeling for Highly Imbalanced Classification
     with: Thomas, V.: Learning to predict gender from iris images
     with: Zhang, Y.Q.: SVMs Modeling for Highly Imbalanced Classification
22 for Chawla, N.V.

Chawla, P. Standard Author Listing
     with: Badjatiya, P.: Leveraging Style and Content features for Text Conditio...
     with: Badjatiya, P.: SAC: Semantic Attention Composition for Text-Conditione...
     with: Chopra, A.: Leveraging Style and Content features for Text Conditioned...
     with: Chopra, A.: SAC: Semantic Attention Composition for Text-Conditioned I...
     with: Jandial, S.: Leveraging Style and Content features for Text Conditione...
     with: Jandial, S.: SAC: Semantic Attention Composition for Text-Conditioned ...
     with: Krishnamurthy, B.: Leveraging Style and Content features for Text Cond...
     with: Krishnamurthy, B.: SAC: Semantic Attention Composition for Text-Condit...
     with: Sarkar, M.: Leveraging Style and Content features for Text Conditioned...
     with: Sarkar, M.: SAC: Semantic Attention Composition for Text-Conditioned I...
10 for Chawla, P.

Chawla, S. Standard Author Listing
     with: Abbar, S.: Inferring and Improving Street Maps with Data-Driven Automa...
     with: Abbar, S.: RoadTracer: Automatic Extraction of Road Networks from Aeri...
     with: Alizadeh, M.: Inferring and Improving Street Maps with Data-Driven Aut...
     with: Alizadeh, M.: Inferring high-resolution traffic accident risk maps bas...
     with: Alizadeh, M.: RoadTracer: Automatic Extraction of Road Networks from A...
     with: Alizadeh, M.: Sat2graph: Road Graph Extraction Through Graph-tensor En...
     with: Balakrishnan, H.: Inferring and Improving Street Maps with Data-Driven...
     with: Balakrishnan, H.: Inferring high-resolution traffic accident risk maps...
     with: Balakrishnan, H.: RoadTracer: Automatic Extraction of Road Networks fr...
     with: Balakrishnan, H.: Sat2graph: Road Graph Extraction Through Graph-tenso...
     with: Bastani, F.: Inferring and Improving Street Maps with Data-Driven Auto...
     with: Bastani, F.: RoadTracer: Automatic Extraction of Road Networks from Ae...
     with: Bastani, F.: Sat2graph: Road Graph Extraction Through Graph-tensor Enc...
     with: Davis, G.: Significance Tree Quantization of the Discrete Cosine Trans...
     with: DeWitt, D.: RoadTracer: Automatic Extraction of Road Networks from Aer...
     with: Elshrif, M.M.: Sat2graph: Road Graph Extraction Through Graph-tensor E...
     with: He, S.: RoadTracer: Automatic Extraction of Road Networks from Aerial ...
     with: He, S.T.: Inferring and Improving Street Maps with Data-Driven Automat...
     with: He, S.T.: Inferring high-resolution traffic accident risk maps based o...
     with: He, S.T.: Sat2graph: Road Graph Extraction Through Graph-tensor Encoding
     with: Jagwani, S.: Inferring and Improving Street Maps with Data-Driven Auto...
     with: Jagwani, S.: Sat2graph: Road Graph Extraction Through Graph-tensor Enc...
     with: Khoa, N.L.D.: Incremental commute time and its online applications
     with: Liu, X.: Object Model of Direction and Its Implications, An
     with: Madden, S.: Inferring and Improving Street Maps with Data-Driven Autom...
     with: Madden, S.: Inferring high-resolution traffic accident risk maps based...
     with: Madden, S.: RoadTracer: Automatic Extraction of Road Networks from Aer...
     with: Madden, S.: Sat2graph: Road Graph Extraction Through Graph-tensor Enco...
     with: Park, E.: Inferring and Improving Street Maps with Data-Driven Automat...
     with: Sadeghi, M.A.: Inferring and Improving Street Maps with Data-Driven Au...
     with: Sadeghi, M.A.: Inferring high-resolution traffic accident risk maps ba...
     with: Sadeghi, M.A.: Sat2graph: Road Graph Extraction Through Graph-tensor E...
     with: Shekhar, S.: Object Model of Direction and Its Implications, An
     with: Wang, Y.: Incremental commute time and its online applications
34 for Chawla, S.

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