Poggenhans, F.
Standard Author Listing
with: Bandera, C.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 201...
with: Salscheider, N.O.: Making Bertha Cooperate: Team AnnieWAY's Entry to t...
with: Stiller, C.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 201...
with: Strauss, T.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 201...
with: Tas, O.S.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 2016 ...
with: Wirges, S.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 2016...
with: Zofka, M.R.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 201...
with: Zollner, J.M.: Making Bertha Cooperate: Team AnnieWAY's Entry to the 2...
8 for Poggenhans, F.
Poggere, G.C.
Standard Author Listing
with: Carvalho, G.S.: Proximal Sensing and Digital Terrain Models Applied to...
with: Curi, N.: Proximal Sensing and Digital Terrain Models Applied to Digit...
with: de Menezes, M.D.: Proximal Sensing and Digital Terrain Models Applied ...
with: Guilherme, L.R.G.: Proximal Sensing and Digital Terrain Models Applied...
with: Silva, S.H.G.: Proximal Sensing and Digital Terrain Models Applied to ...
Poggi, A.
Standard Author Listing
with: Bergenti, F.: JaNeT: A Framework for Flexible Web-Content Retrieval
with: Cagnoni, S.: modified modular eigenspace approach to face recognition, A
with: Porcari, G.L.: modified modular eigenspace approach to face recognitio...
with: Somacher, M.: JaNeT: A Framework for Flexible Web-Content Retrieval
Poggi, C.A.O.
Standard Author Listing
with: Pereyra, E.R.H.: Talking with signs A simple method to detect nouns an...
Poggi, F.
Standard Author Listing
with: Allasia, P.: Coexistence of a Marginal Mountain Community with Large-S...
with: Balbi, E.: Persistent Scatterer Interferometry and Statistical Analysi...
with: Baldo, M.: Coexistence of a Marginal Mountain Community with Large-Sca...
with: Barani, S.: Persistent Scatterer Interferometry and Statistical Analys...
with: Casagli, N.: Landslide-Induced Damage Probability Estimation Coupling ...
with: Cianfarra, P.: Persistent Scatterer Interferometry and Statistical Ana...
with: Crispini, L.: Persistent Scatterer Interferometry and Statistical Anal...
with: del Soldato, M.: Landslide-Induced Damage Probability Estimation Coupl...
with: Faccini, F.: Coexistence of a Marginal Mountain Community with Large-S...
with: Faccini, F.: Persistent Scatterer Interferometry and Statistical Analy...
with: Fanti, R.: Landslide-Induced Damage Probability Estimation Coupling In...
with: Ferretti, G.: Persistent Scatterer Interferometry and Statistical Anal...
with: Godone, D.: Coexistence of a Marginal Mountain Community with Large-Sc...
with: Notti, D.: Coexistence of a Marginal Mountain Community with Large-Sca...
with: Raspini, F.: Landslide-Induced Damage Probability Estimation Coupling ...
with: Scafidi, D.: Persistent Scatterer Interferometry and Statistical Analy...
with: Solari, L.: Landslide-Induced Damage Probability Estimation Coupling I...
with: Terrone, M.: Persistent Scatterer Interferometry and Statistical Analy...
with: Tomas, R.: Landslide-Induced Damage Probability Estimation Coupling In...
with: Tosi, S.: Persistent Scatterer Interferometry and Statistical Analysis...
20 for Poggi, F.
Poggi, G.
Standard Author Listing
with: Amato, F.: Embedded Zerotree Wavelet Coding of Multispectral Images
with: Aversa, S.: Deep learning in the ultrasound evaluation of neonatal res...
with: Cagnazzo, M.: Comparison of Flat and Object-Based Transform Coding Tec...
with: Cagnazzo, M.: Costs and Advantages of Object-Based Image Coding with S...
with: Cagnazzo, M.: Costs and Advantages of Shape-Adaptive Wavelet Transform...
with: Cagnazzo, M.: Low-complexity compression of multispectral images based...
with: Cagnazzo, M.: Region-Based Transform Coding of Multispectral Images
with: Cagnazzo, M.: Region-oriented compression of multispectral images by s...
with: Canta, G.R.: Compression of multispectral images by address-predictive...
with: Canta, G.R.: Kronecker-Product Gain-Shape Vector Quantization for Mult...
with: Canta, G.R.: Multispectral-Image Coding by Vector Quantization with Kr...
with: Cicala, L.: Low-complexity compression of multispectral images based o...
with: Corsini, I.: Deep learning in the ultrasound evaluation of neonatal re...
with: Corvi, R.: Intriguing properties of synthetic images: from generative ...
with: Cozzolino, A.: Evaluating the Effects of MJPEG Compression on Motion T...
with: Cozzolino, D.: Comparative Analysis of Forgery Detection Algorithms, A
with: Cozzolino, D.: Copy-move forgery detection based on PatchMatch
with: Cozzolino, D.: Guided Patchwise Nonlocal SAR Despeckling
with: Cozzolino, D.: InSAR-BM3D: A Nonlocal Filter for SAR Interferometric P...
with: Cozzolino, D.: Intriguing properties of synthetic images: from generat...
with: Cozzolino, D.: Nonlocal CNN SAR Image Despeckling
with: Cozzolino, D.: Offset-Compensated Nonlocal Filtering of Interferometri...
with: Cozzolino, D.: PatchMatch-Based Dense-Field Algorithm for Video Copy-M...
with: Cozzolino, D.: PRNU-Based Forgery Localization in a Blind Scenario
with: Cozzolino, D.: Reliable Order-Statistics-Based Approximate Nearest Nei...
with: d'Amiano, L.: PatchMatch-Based Dense-Field Algorithm for Video Copy-Mo...
with: d'Elia, C.: Compression of SAR raw data through range focusing and var...
with: d'Elia, C.: Detection of microcalcifications clusters in mammograms th...
with: d'Elia, C.: Self-organizing codebooks for trellis-coded VQ
with: d'Elia, C.: Sequential Bayesian segmentation of remote sensing images
with: d'Elia, C.: Tree-Structured Markov Random Field Model for Bayesian Ima...
with: Dani, C.: Deep learning in the ultrasound evaluation of neonatal respi...
with: Deledalle, C.A.: Exploiting Patch Similarity for SAR Image Processing:...
with: Denis, L.: Exploiting Patch Similarity for SAR Image Processing: The n...
with: di Martino, G.: Benchmarking Framework for SAR Despeckling
with: Dragotti, P.L.: Compression of Multispectral Images by Three-Dimension...
with: Ferraiuolo, G.: Bayesian Filtering Technique for SAR Interferometric P...
with: Finelli, M.: Multispectral-image coding by spectral classification
with: Flammini, F.: Evaluating the Effects of MJPEG Compression on Motion Tr...
with: Gaetano, R.: Hierarchical Mrf-Based Segmentation of Remote-Sensing Ima...
with: Gaetano, R.: Hierarchical Texture-Based Segmentation of Multiresolutio...
with: Gaetano, R.: Marker-Controlled Watershed-Based Segmentation of Multire...
with: Galdi, C.: Embedded Zerotree Wavelet Coding of Multispectral Images
with: Galli, V.: Evaluating the Effects of MJPEG Compression on Motion Track...
with: Gelli, G.: Compression of Multispectral Images by Spectral Classificat...
with: Gelli, G.: Multispectral-image coding by spectral classification
with: Gragnaniello, D.: Deep learning in the ultrasound evaluation of neonat...
with: Gragnaniello, D.: Local contrast phase descriptor for fingerprint live...
with: Gragnaniello, D.: Perceptual quality-preserving black-box attack again...
with: Gragnaniello, D.: Using iris and sclera for detection and classificati...
with: Gravina, M.: Deep learning in the ultrasound evaluation of neonatal re...
with: Lamberti, M.: Evaluating the Effects of MJPEG Compression on Motion Tr...
with: Lista, G.: Deep learning in the ultrasound evaluation of neonatal resp...
with: Marra, F.: deep learning approach for iris sensor model identification...
with: Marra, F.: Evaluation of Residual-Based Local Features for Camera Mode...
with: Marra, F.: Perceptual quality-preserving black-box attack against deep...
with: Marra, F.: PRNU-Based Forgery Localization in a Blind Scenario
with: Marrocco, C.: Detection of microcalcifications clusters in mammograms ...
with: Masi, G.: Marker-Controlled Watershed-Based Segmentation of Multiresol...
with: Meneghin, F.: Deep learning in the ultrasound evaluation of neonatal r...
with: Migliaro, F.: Deep learning in the ultrasound evaluation of neonatal r...
with: Molinara, M.: Detection of microcalcifications clusters in mammograms ...
with: Nagano, K.: Intriguing properties of synthetic images: from generative...
with: Olshen, R.A.: Pruned tree-structured vector quantization of medical im...
with: Parrilli, S.: Costs and Advantages of Object-Based Image Coding with S...
with: Parrilli, S.: Costs and Advantages of Shape-Adaptive Wavelet Transform...
with: Parrilli, S.: SPIHT-like image coder based on the contourlet transform...
with: Poderico, M.: Benchmarking Framework for SAR Despeckling
with: Pragliola, C.: Evaluating the Effects of MJPEG Compression on Motion T...
with: Ragozini, A.R.P.: Compression of Multispectral Images by Three-Dimensi...
with: Ragozini, A.R.P.: Compression of SAR Data Through Range Focusing and V...
with: Ragozini, A.R.P.: Image Segmentation by Tree-Structured Markov Random ...
with: Ragozini, A.R.P.: Tree-structured product-codebook vector quantization
with: Raimondi, F.: Deep learning in the ultrasound evaluation of neonatal r...
with: Riccio, D.: Benchmarking Framework for SAR Despeckling
with: Sansone, C.: Comparative Analysis of Forgery Detection Algorithms, A
with: Sansone, C.: deep learning approach for iris sensor model identificati...
with: Sansone, C.: Deep learning in the ultrasound evaluation of neonatal re...
with: Sansone, C.: Evaluation of Residual-Based Local Features for Camera Mo...
with: Sansone, C.: Local contrast phase descriptor for fingerprint liveness ...
with: Sansone, C.: PRNU-Based Forgery Localization in a Blind Scenario
with: Sansone, C.: Using iris and sclera for detection and classification of...
with: Scarpa, G.: binary tree-structured MRF model for multispectral satelli...
with: Scarpa, G.: Detection of microcalcifications clusters in mammograms th...
with: Scarpa, G.: Guided Patchwise Nonlocal SAR Despeckling
with: Scarpa, G.: Hierarchical Mrf-Based Segmentation of Remote-Sensing Images
with: Scarpa, G.: Hierarchical Texture-Based Segmentation of Multiresolution...
with: Scarpa, G.: Marker-Controlled Watershed-Based Segmentation of Multires...
with: Scarpa, G.: Nonlocal CNN SAR Image Despeckling
with: Scarpa, G.: Segmentation of remote-sensing images by supervised TS-MRF
with: Scarpa, G.: Sequential Bayesian segmentation of remote sensing images
with: Scarpa, G.: Supervised segmentation of remote sensing images based on ...
with: Scarpa, G.: Tree-Structured Markov Random Field Model for Bayesian Ima...
with: Sica, F.: InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase ...
with: Sica, F.: Offset-Compensated Nonlocal Filtering of Interferometric Pha...
with: Tortorella, F.: Detection of microcalcifications clusters in mammogram...
with: Tupin, F.: Exploiting Patch Similarity for SAR Image Processing: The n...
with: Verdoliva, L.: Benchmarking Framework for SAR Despeckling
with: Verdoliva, L.: Comparative Analysis of Forgery Detection Algorithms, A
with: Verdoliva, L.: Comparison of Flat and Object-Based Transform Coding Te...
with: Verdoliva, L.: Compression of SAR Data Through Range Focusing and Vari...
with: Verdoliva, L.: Compression of SAR raw data through range focusing and ...
with: Verdoliva, L.: Copy-move forgery detection based on PatchMatch
with: Verdoliva, L.: Costs and Advantages of Object-Based Image Coding with ...
with: Verdoliva, L.: Costs and Advantages of Shape-Adaptive Wavelet Transfor...
with: Verdoliva, L.: deep learning approach for iris sensor model identifica...
with: Verdoliva, L.: Deep learning in the ultrasound evaluation of neonatal ...
with: Verdoliva, L.: Evaluation of Residual-Based Local Features for Camera ...
with: Verdoliva, L.: Exploiting Patch Similarity for SAR Image Processing: T...
with: Verdoliva, L.: Guided Patchwise Nonlocal SAR Despeckling
with: Verdoliva, L.: InSAR-BM3D: A Nonlocal Filter for SAR Interferometric P...
with: Verdoliva, L.: Intriguing properties of synthetic images: from generat...
with: Verdoliva, L.: Local contrast phase descriptor for fingerprint livenes...
with: Verdoliva, L.: Low-complexity compression of multispectral images base...
with: Verdoliva, L.: Marker-Controlled Watershed-Based Segmentation of Multi...
with: Verdoliva, L.: Nonlocal CNN SAR Image Despeckling
with: Verdoliva, L.: Offset-Compensated Nonlocal Filtering of Interferometri...
with: Verdoliva, L.: PatchMatch-Based Dense-Field Algorithm for Video Copy-M...
with: Verdoliva, L.: Perceptual quality-preserving black-box attack against ...
with: Verdoliva, L.: PRNU-Based Forgery Localization in a Blind Scenario
with: Verdoliva, L.: Region-Based Transform Coding of Multispectral Images
with: Verdoliva, L.: Region-oriented compression of multispectral images by ...
with: Verdoliva, L.: Reliable Order-Statistics-Based Approximate Nearest Nei...
with: Verdoliva, L.: SPIHT-like image coder based on the contourlet transfor...
with: Verdoliva, L.: Using iris and sclera for detection and classification ...
with: Vitale, S.: Guided Patchwise Nonlocal SAR Despeckling
with: Zerubia, J.B.: binary tree-structured MRF model for multispectral sate...
with: Zerubia, J.B.: Segmentation of remote-sensing images by supervised TS-...
with: Zerubia, J.B.: Supervised segmentation of remote sensing images based ...
with: Zhu, X.X.: InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase...
with: Zinicola, A.: Region-oriented compression of multispectral images by s...
131 for Poggi, G.
Poggi, I.
Standard Author Listing
with: Agostini, A.: Communicative System of Touch. Alphabet, Lexicon, and No...
with: Caldognetto, E.M.: Gestural Mind Markers in ECAs
with: Cirella, F.: Communicative System of Touch. Alphabet, Lexicon, and Nor...
with: d'Errico, F.: Bridging the Gap between Social Animal and Unsocial Mach...
with: d'Errico, F.: Embodied Morphemes of Gaze, The
with: d'Errico, F.: Towards the Parody Machine. Qualitative Analysis and Cog...
with: Heylen, D.: Bridging the Gap between Social Animal and Unsocial Machin...
with: Merola, G.: Multimodality and Gestures in the Teacher's Communication
with: Pantic, M.: Bridging the Gap between Social Animal and Unsocial Machin...
with: Pelachaud, C.: Bridging the Gap between Social Animal and Unsocial Mac...
with: Pelachaud, C.: Gestural Mind Markers in ECAs
with: Schroeder, M.: Bridging the Gap between Social Animal and Unsocial Mac...
with: Spagnolo, A.: Embodied Morphemes of Gaze, The
with: Vinciarelli, A.: Bridging the Gap between Social Animal and Unsocial M...
with: Zollo, A.: Communicative System of Touch. Alphabet, Lexicon, and Norms...
15 for Poggi, I.
Poggi, J.M.
Standard Author Listing
with: Genuer, R.: Variable selection using random forests
with: Tuleau Malot, C.: Variable selection using random forests
Poggi, M.
Standard Author Listing
with: Adams, W.: Monocular Depth Estimation Challenge, The
with: Adams, W.J.: Second Monocular Depth Estimation Challenge, The
with: Aleotti, F.: Distilled Semantics for Comprehensive Scene Understanding...
with: Aleotti, F.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Aleotti, F.: Enabling monocular depth perception at the very edge
with: Aleotti, F.: Generative Adversarial Networks for Unsupervised Monocula...
with: Aleotti, F.: Learning Monocular Depth Estimation Infusing Traditional ...
with: Aleotti, F.: Learning optical flow from still images
with: Aleotti, F.: Leveraging a weakly adversarial paradigm for joint learni...
with: Aleotti, F.: Monocular Depth Perception on Microcontrollers for Edge A...
with: Aleotti, F.: Neural Disparity Refinement for Arbitrary Resolution Stereo
with: Aleotti, F.: On the Confidence of Stereo Matching in a Deep-Learning E...
with: Aleotti, F.: On the Uncertainty of Self-Supervised Monocular Depth Est...
with: Aleotti, F.: Real-Time Self-Supervised Monocular Depth Estimation With...
with: Aleotti, F.: Reversing the Cycle: Self-supervised Deep Stereo Through ...
with: Aleotti, F.: Self-adapting Confidence Estimation for Stereo
with: Aleotti, F.: Sensor-Guided Optical Flow
with: Andraghetti, L.: Enhancing Self-Supervised Monocular Depth Estimation ...
with: Anwar, A.: Second Monocular Depth Estimation Challenge, The
with: Azizpour, H.: To Adapt or Not to Adapt? Real-Time Adaptation for Seman...
with: Bartolomei, L.: Active Stereo Without Pattern Projector
with: Batsos, K.: On the Synergies Between Machine Learning and Binocular St...
with: Benincasa, A.: Beyond Local Reasoning for Stereo Confidence Estimation...
with: Bolognini, D.: ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
with: Boschini, M.: Improving the reliability of 3D people tracking system b...
with: Bowden, R.: Monocular Depth Estimation Challenge, The
with: Bowden, R.: Second Monocular Depth Estimation Challenge, The
with: Cai, C.: Matching-space Stereo Networks for Cross-domain Generalization
with: Calimera, A.: Enabling monocular depth perception at the very edge
with: Calimera, A.: Monocular Depth Perception on Microcontrollers for Edge ...
with: Carvalho, J.F.: To Adapt or Not to Adapt? Real-Time Adaptation for Sem...
with: Chen, H.: Second Monocular Depth Estimation Challenge, The
with: Chen, X.Z.: Second Monocular Depth Estimation Challenge, The
with: Cheng, K.: Second Monocular Depth Estimation Challenge, The
with: Cipolletta, A.: Enabling monocular depth perception at the very edge
with: Cipolletta, A.: Monocular Depth Perception on Microcontrollers for Edg...
with: Colomer, M.B.: To Adapt or Not to Adapt? Real-Time Adaptation for Sema...
with: Cong, H.: Monocular Depth Estimation Challenge, The
with: Conti, A.: Active Stereo Without Pattern Projector
with: Conti, A.: Sparsity Agnostic Depth Completion
with: Costanzino, A.: Booster: A Benchmark for Depth From Images of Specular...
with: Costanzino, A.: Learning Depth Estimation for Transparent and Mirror S...
with: Costanzino, A.: NTIRE 2023 Challenge on HR Depth from Images of Specul...
with: Cremers, D.: To Adapt or Not to Adapt? Real-Time Adaptation for Semant...
with: Dai, Y.C.: Second Monocular Depth Estimation Challenge, The
with: de Gregorio, D.: NeRF-Supervised Deep Stereo
with: de Gregorio, D.: ScanNeRF: a Scalable Benchmark for Neural Radiance Fi...
with: de Luigi, L.: ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
with: Deng, P.: Depth Restoration in Under-Display Time-of-Flight Imaging
with: di Stefano, L.: Continual Adaptation for Deep Stereo
with: di Stefano, L.: Distilled Semantics for Comprehensive Scene Understand...
with: di Stefano, L.: Geometry Meets Semantics for Semi-supervised Monocular...
with: di Stefano, L.: Learning Depth Estimation for Transparent and Mirror S...
with: di Stefano, L.: Neural Disparity Refinement for Arbitrary Resolution S...
with: di Stefano, L.: NTIRE 2023 Challenge on HR Depth from Images of Specul...
with: di Stefano, L.: Open Challenges in Deep Stereo: the Booster Dataset
with: di Stefano, L.: Real-Time Self-Adaptive Deep Stereo
with: di Stefano, L.: RGB-Multispectral Matching: Dataset, Learning Methodol...
with: di Stefano, L.: Unsupervised Adaptation for Deep Stereo
with: di Stefano, L.: Unsupervised Domain Adaptation for Depth Prediction fr...
with: Dias Garcia, J.: Regularization and optimization in model-based cluste...
with: Domeniconi, F.: ScanNeRF: a Scalable Benchmark for Neural Radiance Fie...
with: dos Santos, J.A.: Conditional Reconstruction for Open-Set Semantic Seg...
with: Dovesi, P.L.: Enhancing Self-Supervised Monocular Depth Estimation wit...
with: Dovesi, P.L.: Online Domain Adaptation for Semantic Segmentation in Ev...
with: Dovesi, P.L.: To Adapt or Not to Adapt? Real-Time Adaptation for Seman...
with: Elder, J.: Monocular Depth Estimation Challenge, The
with: Elder, J.: Second Monocular Depth Estimation Challenge, The
with: Fan, R.: Contrastive Learning for Depth Prediction
with: Ge, C.Y.: Depth Restoration in Under-Display Time-of-Flight Imaging
with: Ge, C.Y.: Depth super-resolution from explicit and implicit high-frequ...
with: Graf, E.: Monocular Depth Estimation Challenge, The
with: Graf, E.W.: Second Monocular Depth Estimation Challenge, The
with: Grimaldi, S.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Guo, X.: CompletionFormer: Depth Completion with Convolutions and Visi...
with: Hadfield, S.: Monocular Depth Estimation Challenge, The
with: Hadfield, S.: Second Monocular Depth Estimation Challenge, The
with: Harenstam Nielsen, L.: Online Domain Adaptation for Semantic Segmentat...
with: Harenstam Nielsen, L.: To Adapt or Not to Adapt? Real-Time Adaptation ...
with: Hoa, H.T.: Second Monocular Depth Estimation Challenge, The
with: Hossain, S.: Second Monocular Depth Estimation Challenge, The
with: Huang, G.: CompletionFormer: Depth Completion with Convolutions and Vi...
with: Huang, J.M.: Second Monocular Depth Estimation Challenge, The
with: Jin, Y.X.: NTIRE 2023 Challenge on HR Depth from Images of Specular an...
with: Jing, M.: Second Monocular Depth Estimation Challenge, The
with: Kim, S.: On the Confidence of Stereo Matching in a Deep-Learning Era: ...
with: Kjellstrom, H.: To Adapt or Not to Adapt? Real-Time Adaptation for Sem...
with: Li, B.: Second Monocular Depth Estimation Challenge, The
with: Li, C.: NTIRE 2023 Challenge on HR Depth from Images of Specular and T...
with: Li, C.: Second Monocular Depth Estimation Challenge, The
with: Li, D.Z.: NTIRE 2023 Challenge on HR Depth from Images of Specular and...
with: Liu, Z.W.: NTIRE 2023 Challenge on HR Depth from Images of Specular an...
with: Liu, Z.W.: Second Monocular Depth Estimation Challenge, The
with: Luque, B.: Enhancing Self-Supervised Monocular Depth Estimation with T...
with: Mattoccia, S.: Active Stereo Without Pattern Projector
with: Mattoccia, S.: Beyond Local Reasoning for Stereo Confidence Estimation...
with: Mattoccia, S.: Booster: A Benchmark for Depth From Images of Specular ...
with: Mattoccia, S.: CompletionFormer: Depth Completion with Convolutions an...
with: Mattoccia, S.: Continual Adaptation for Deep Stereo
with: Mattoccia, S.: Contrastive Learning for Depth Prediction
with: Mattoccia, S.: Crosswalk Recognition Through Point-Cloud Processing an...
with: Mattoccia, S.: Deep Stereo Fusion: Combining Multiple Disparity Hypoth...
with: Mattoccia, S.: Depth Restoration in Under-Display Time-of-Flight Imaging
with: Mattoccia, S.: Depth super-resolution from explicit and implicit high-...
with: Mattoccia, S.: Distilled Semantics for Comprehensive Scene Understandi...
with: Mattoccia, S.: Efficient Confidence Measures for Embedded Stereo
with: Mattoccia, S.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Mattoccia, S.: Enabling monocular depth perception at the very edge
with: Mattoccia, S.: Enhancing Self-Supervised Monocular Depth Estimation wi...
with: Mattoccia, S.: Evaluation of variants of the SGM algorithm aimed at im...
with: Mattoccia, S.: Even More Confident Predictions with Deep Machine-Learn...
with: Mattoccia, S.: GasMono: Geometry-Aided Self-Supervised Monocular Depth...
with: Mattoccia, S.: Generative Adversarial Networks for Unsupervised Monocu...
with: Mattoccia, S.: Geometry Meets Semantics for Semi-supervised Monocular ...
with: Mattoccia, S.: GO-SLAM: Global Optimization for Consistent 3D Instant ...
with: Mattoccia, S.: Guided Stereo Matching
with: Mattoccia, S.: Improving the reliability of 3D people tracking system ...
with: Mattoccia, S.: Learning a confidence measure in the disparity domain f...
with: Mattoccia, S.: Learning a General-Purpose Confidence Measure Based on ...
with: Mattoccia, S.: Learning Depth Estimation for Transparent and Mirror Su...
with: Mattoccia, S.: Learning from scratch a confidence measure
with: Mattoccia, S.: Learning Monocular Depth Estimation Infusing Traditiona...
with: Mattoccia, S.: Learning Monocular Depth Estimation with Unsupervised T...
with: Mattoccia, S.: Learning optical flow from still images
with: Mattoccia, S.: Learning to Predict Stereo Reliability Enforcing Local ...
with: Mattoccia, S.: Leveraging a weakly adversarial paradigm for joint lear...
with: Mattoccia, S.: Matching-space Stereo Networks for Cross-domain General...
with: Mattoccia, S.: Monocular Depth Estimation Challenge, The
with: Mattoccia, S.: Monocular Depth Perception on Microcontrollers for Edge...
with: Mattoccia, S.: Neural Disparity Refinement for Arbitrary Resolution St...
with: Mattoccia, S.: NTIRE 2023 Challenge on HR Depth from Images of Specula...
with: Mattoccia, S.: On the Confidence of Stereo Matching in a Deep-Learning...
with: Mattoccia, S.: On the Synergies Between Machine Learning and Binocular...
with: Mattoccia, S.: On the Uncertainty of Self-Supervised Monocular Depth E...
with: Mattoccia, S.: Open Challenges in Deep Stereo: the Booster Dataset
with: Mattoccia, S.: Quantitative Evaluation of Confidence Measures in a Mac...
with: Mattoccia, S.: Real-Time Self-Adaptive Deep Stereo
with: Mattoccia, S.: Real-Time Self-Supervised Monocular Depth Estimation Wi...
with: Mattoccia, S.: Reversing the Cycle: Self-supervised Deep Stereo Throug...
with: Mattoccia, S.: RGB-Multispectral Matching: Dataset, Learning Methodolo...
with: Mattoccia, S.: Second Monocular Depth Estimation Challenge, The
with: Mattoccia, S.: Self-adapting Confidence Estimation for Stereo
with: Mattoccia, S.: Sensor-Guided Optical Flow
with: Mattoccia, S.: Sparsity Agnostic Depth Completion
with: Mattoccia, S.: Unsupervised Adaptation for Deep Stereo
with: Mattoccia, S.: Unsupervised Domain Adaptation for Depth Prediction fro...
with: Mercelis, S.: Second Monocular Depth Estimation Challenge, The
with: Min, D.B.: On the Confidence of Stereo Matching in a Deep-Learning Era...
with: Mordohai, P.: Matching-space Stereo Networks for Cross-domain Generali...
with: Mordohai, P.: On the Synergies Between Machine Learning and Binocular ...
with: Myriokefalitakis, P.: Enhancing Self-Supervised Monocular Depth Estima...
with: Nam, M.: Second Monocular Depth Estimation Challenge, The
with: Nanni, L.: Crosswalk Recognition Through Point-Cloud Processing and De...
with: Nunes, I.: Conditional Reconstruction for Open-Set Semantic Segmentation
with: Oliveira, H.: Conditional Reconstruction for Open-Set Semantic Segment...
with: Pallotti, D.: Guided Stereo Matching
with: Panagiotakopoulos, T.: Online Domain Adaptation for Semantic Segmentat...
with: Panagiotakopoulos, T.: To Adapt or Not to Adapt? Real-Time Adaptation ...
with: Peluso, V.: Enabling monocular depth perception at the very edge
with: Peluso, V.: Monocular Depth Perception on Microcontrollers for Edge Ap...
with: Pereira, M.B.: Conditional Reconstruction for Open-Set Semantic Segmen...
with: Pieropan, A.: Enhancing Self-Supervised Monocular Depth Estimation wit...
with: Qi, X.H.: Second Monocular Depth Estimation Challenge, The
with: Qian, C.S.: Monocular Depth Estimation Challenge, The
with: Qian, C.S.: Second Monocular Depth Estimation Challenge, The
with: Qiao, X.: Depth Restoration in Under-Display Time-of-Flight Imaging
with: Qiao, X.: Depth super-resolution from explicit and implicit high-frequ...
with: Ramirez, P.Z.: Booster: A Benchmark for Depth From Images of Specular ...
with: Ramirez, P.Z.: Distilled Semantics for Comprehensive Scene Understandi...
with: Ramirez, P.Z.: Geometry Meets Semantics for Semi-supervised Monocular ...
with: Ramirez, P.Z.: Learning Depth Estimation for Transparent and Mirror Su...
with: Ramirez, P.Z.: Neural Disparity Refinement for Arbitrary Resolution St...
with: Ramirez, P.Z.: NTIRE 2023 Challenge on HR Depth from Images of Specula...
with: Ramirez, P.Z.: Open Challenges in Deep Stereo: the Booster Dataset
with: Ramirez, P.Z.: RGB-Multispectral Matching: Dataset, Learning Methodolo...
with: Ren, J.: Second Monocular Depth Estimation Challenge, The
with: Rocca, M.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Russell, C.: Monocular Depth Estimation Challenge, The
with: Russell, C.: Second Monocular Depth Estimation Challenge, The
with: Salti, S.: Booster: A Benchmark for Depth From Images of Specular and ...
with: Salti, S.: Distilled Semantics for Comprehensive Scene Understanding f...
with: Salti, S.: Neural Disparity Refinement for Arbitrary Resolution Stereo
with: Salti, S.: NTIRE 2023 Challenge on HR Depth from Images of Specular an...
with: Salti, S.: Open Challenges in Deep Stereo: the Booster Dataset
with: Salti, S.: RGB-Multispectral Matching: Dataset, Learning Methodology, ...
with: Sampaio, R.A.: Regularization and optimization in model-based clustering
with: Schofield, A.J.: Monocular Depth Estimation Challenge, The
with: Schofield, A.J.: Second Monocular Depth Estimation Challenge, The
with: Shi, J.: NTIRE 2023 Challenge on HR Depth from Images of Specular and ...
with: Sohn, K.H.: On the Confidence of Stereo Matching in a Deep-Learning Er...
with: Spencer, J.: Monocular Depth Estimation Challenge, The
with: Spencer, J.: Second Monocular Depth Estimation Challenge, The
with: Stefano, d.: ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
with: Stefano, L.D.: Booster: A Benchmark for Depth From Images of Specular ...
with: Sun, Q.Y.: GasMono: Geometry-Aided Self-Supervised Monocular Depth Est...
with: Suri, Z.K.: Monocular Depth Estimation Challenge, The
with: Tang, Y.: GasMono: Geometry-Aided Self-Supervised Monocular Depth Esti...
with: Tang, Y.: Monocular Depth Estimation Challenge, The
with: Tang, Y.: Second Monocular Depth Estimation Challenge, The
with: Tauro, F.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Timofte, R.: NTIRE 2023 Challenge on HR Depth from Images of Specular ...
with: Tonioni, A.: Continual Adaptation for Deep Stereo
with: Tonioni, A.: NeRF-Supervised Deep Stereo
with: Tonioni, A.: Real-Time Self-Adaptive Deep Stereo
with: Tonioni, A.: Unsupervised Adaptation for Deep Stereo
with: Tonioni, A.: Unsupervised Domain Adaptation for Depth Prediction from ...
with: Tosi, F.: Active Stereo Without Pattern Projector
with: Tosi, F.: Beyond Local Reasoning for Stereo Confidence Estimation with...
with: Tosi, F.: Booster: A Benchmark for Depth From Images of Specular and T...
with: Tosi, F.: Continual Adaptation for Deep Stereo
with: Tosi, F.: Depth super-resolution from explicit and implicit high-frequ...
with: Tosi, F.: Distilled Semantics for Comprehensive Scene Understanding fr...
with: Tosi, F.: Efficient Confidence Measures for Embedded Stereo
with: Tosi, F.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Tosi, F.: Enabling monocular depth perception at the very edge
with: Tosi, F.: Even More Confident Predictions with Deep Machine-Learning
with: Tosi, F.: GasMono: Geometry-Aided Self-Supervised Monocular Depth Esti...
with: Tosi, F.: Generative Adversarial Networks for Unsupervised Monocular D...
with: Tosi, F.: Geometry Meets Semantics for Semi-supervised Monocular Depth...
with: Tosi, F.: GO-SLAM: Global Optimization for Consistent 3D Instant Recon...
with: Tosi, F.: Guided Stereo Matching
with: Tosi, F.: Learning a confidence measure in the disparity domain from O...
with: Tosi, F.: Learning a General-Purpose Confidence Measure Based on O(1) ...
with: Tosi, F.: Learning Depth Estimation for Transparent and Mirror Surfaces
with: Tosi, F.: Learning Monocular Depth Estimation Infusing Traditional Ste...
with: Tosi, F.: Learning Monocular Depth Estimation with Unsupervised Trinoc...
with: Tosi, F.: Leveraging a weakly adversarial paradigm for joint learning ...
with: Tosi, F.: Monocular Depth Estimation Challenge, The
with: Tosi, F.: Monocular Depth Perception on Microcontrollers for Edge Appl...
with: Tosi, F.: NeRF-Supervised Deep Stereo
with: Tosi, F.: Neural Disparity Refinement for Arbitrary Resolution Stereo
with: Tosi, F.: NTIRE 2023 Challenge on HR Depth from Images of Specular and...
with: Tosi, F.: On the Confidence of Stereo Matching in a Deep-Learning Era:...
with: Tosi, F.: On the Synergies Between Machine Learning and Binocular Ster...
with: Tosi, F.: On the Uncertainty of Self-Supervised Monocular Depth Estima...
with: Tosi, F.: Open Challenges in Deep Stereo: the Booster Dataset
with: Tosi, F.: Quantitative Evaluation of Confidence Measures in a Machine ...
with: Tosi, F.: Real-Time Self-Adaptive Deep Stereo
with: Tosi, F.: Real-Time Self-Supervised Monocular Depth Estimation Without...
with: Tosi, F.: Reversing the Cycle: Self-supervised Deep Stereo Through Enh...
with: Tosi, F.: RGB-Multispectral Matching: Dataset, Learning Methodology, E...
with: Tosi, F.: Second Monocular Depth Estimation Challenge, The
with: Tosi, F.: Self-adapting Confidence Estimation for Stereo
with: Toth, E.: Enabling Image-Based Streamflow Monitoring at the Edge
with: Trescakova, M.: Second Monocular Depth Estimation Challenge, The
with: Trinh, L.: Second Monocular Depth Estimation Challenge, The
with: Uddin, S.M.N.: Second Monocular Depth Estimation Challenge, The
with: Umair, K.M.: Second Monocular Depth Estimation Challenge, The
with: Vidal, T.: Regularization and optimization in model-based clustering
with: Wang, H.: Monocular Depth Estimation Challenge, The
with: Wang, K.X.: Second Monocular Depth Estimation Challenge, The
with: Wang, Y.F.: Second Monocular Depth Estimation Challenge, The
with: Wang, Y.X.: NTIRE 2023 Challenge on HR Depth from Images of Specular a...
with: Wang, Y.X.: Second Monocular Depth Estimation Challenge, The
with: Wei, H.: Depth Restoration in Under-Display Time-of-Flight Imaging
with: Xiang, M.: Second Monocular Depth Estimation Challenge, The
with: Xu, G.K.: Second Monocular Depth Estimation Challenge, The
with: Yin, S.: NTIRE 2023 Challenge on HR Depth from Images of Specular and ...
with: Yin, W.: Second Monocular Depth Estimation Challenge, The
with: Yong, A.: NTIRE 2023 Challenge on HR Depth from Images of Specular and...
with: Yu, J.: Second Monocular Depth Estimation Challenge, The
with: Zaccaroni, G.: Self-adapting Confidence Estimation for Stereo
with: Zhang, D.: NTIRE 2023 Challenge on HR Depth from Images of Specular an...
with: Zhang, L.: Reversing the Cycle: Self-supervised Deep Stereo Through En...
with: Zhang, Q.: NTIRE 2023 Challenge on HR Depth from Images of Specular an...
with: Zhang, Q.: Second Monocular Depth Estimation Challenge, The
with: Zhang, Y.: CompletionFormer: Depth Completion with Convolutions and Vi...
with: Zhang, Y.: Depth super-resolution from explicit and implicit high-freq...
with: Zhang, Y.: GO-SLAM: Global Optimization for Consistent 3D Instant Reco...
with: Zhang, Y.: Monocular Depth Estimation Challenge, The
with: Zhang, Y.S.: Monocular Depth Estimation Challenge, The
with: Zhao, C.Q.: GasMono: Geometry-Aided Self-Supervised Monocular Depth Es...
with: Zhao, C.Q.: Monocular Depth Estimation Challenge, The
with: Zhao, C.Q.: Second Monocular Depth Estimation Challenge, The
with: Zhou, L.: GasMono: Geometry-Aided Self-Supervised Monocular Depth Esti...
with: Zhou, Y.H.: Depth super-resolution from explicit and implicit high-fre...
with: Zhu, Z.: CompletionFormer: Depth Completion with Convolutions and Visi...
279 for Poggi, M.
Poggiali, V.
Standard Author Listing
with: Birch, S.P.D.: High-Resolution Topography of Titan Adapting the Delay/...
with: Hayes, A.: Radar Sounding Using the Cassini Altimeter: Waveform Modeli...
with: Hayes, A.G.: High-Resolution Topography of Titan Adapting the Delay/Do...
with: Hofgartner, J.D.: Radar Sounding Using the Cassini Altimeter: Waveform...
with: Lunine, J.I.: Radar Sounding Using the Cassini Altimeter: Waveform Mod...
with: Mastrogiuseppe, M.: High-Resolution Topography of Titan Adapting the D...
with: Mastrogiuseppe, M.: Radar Sounding Using the Cassini Altimeter: Wavefo...
with: Mullen, J.P.: High-Resolution Topography of Titan Adapting the Delay/D...
with: Raguso, M.C.: High-Resolution Topography of Titan Adapting the Delay/D...
with: Seu, R.: High-Resolution Topography of Titan Adapting the Delay/Dopple...
with: Seu, R.: Radar Sounding Using the Cassini Altimeter: Waveform Modeling...
11 for Poggiali, V.
Poggianti, E.
Standard Author Listing
with: Demi, M.: System for Real-Time Measurement of the Brachial Artery Diam...
with: Faita, F.: System for Real-Time Measurement of the Brachial Artery Dia...
with: Gemignani, V.: System for Real-Time Measurement of the Brachial Artery...
with: Ghiadoni, L.: System for Real-Time Measurement of the Brachial Artery ...
Poggio, L.
Standard Author Listing
with: Brown, I.: Spatio-temporal MODIS EVI gap filling under cloud cover: An...
with: de Sousa, L.M.: Comparison of FOSS4G Supported Equal-Area Projections ...
with: Gimona, A.: Spatio-temporal MODIS EVI gap filling under cloud cover: A...
with: Kempen, B.: Comparison of FOSS4G Supported Equal-Area Projections Usin...
Poggio, T.
Standard Author Listing
with: Adler, A.: Deep Learning for Seismic Inverse Problems: Toward the Acce...
with: Ancona, N.: Optical Flow from 1-D Correlation: Application to a Simple...
with: Anselmi, F.: Symmetry-adapted representation learning
with: Araya Polo, M.: Deep Learning for Seismic Inverse Problems: Toward the...
with: Beymer, D.J.: Example Based Image Analysis and Synthesis
with: Beymer, D.J.: Example-based image analysis and synthesis using pixelwi...
with: Beymer, D.J.: Face Recognition from One Example View
with: Beymer, D.J.: Face Verification for Real-Time Applications
with: Beymer, D.J.: Image Representations for Visual Learning
with: Beymer, D.J.: Learning Networks for Face Analysis and Synthesis
with: Beymer, D.J.: Learning to See
with: Bhanu, B.: Introduction to the Special Section on Learning in Computer...
with: Bileschi, S.M.: Object Recognition with Features Inspired by Visual Co...
with: Bileschi, S.M.: Robust Object Recognition with Cortex-Like Mechanisms
with: Bobick, A.F.: VSAM at the MIT Media laboratory and CBCL: Learning and ...
with: Bobick, A.F.: VSAM at the MIT Media Laboratory and CBCL: Learning and ...
with: Brooks, R.A.: Trainable Modular Vision System, A
with: Brunelli, R.: Automatic Person Recognition by Acoustic and Geometric F...
with: Brunelli, R.: Face Recognition Through Geometrical Features
with: Brunelli, R.: Face Recognition: Features versus Templates
with: Brunelli, R.: Hyperbf Networks For Real Object Recognition
with: Brunelli, R.: Novel Approach to Graphics, A
with: Brunelli, R.: Recognition system, particularly for recognising people
with: Brunelli, R.: Template Matching: Matched Spatial Filters And Beyond
with: Bulthoff, H.H.: 3D Object Recognition: Symmetry and Virtual Views
with: Bulthoff, H.H.: Parallel Optical Flow Using Local Voting
with: Chikkerur, S.: Attentive processing improves object recognition
with: Chikkerur, S.: integrated model of visual attention using shape-based ...
with: Edelman, S.: Bringing the Grandmother Back into the Picture: A Memory-...
with: Edelman, S.: Fast Perceptual Learning in Visual Hyperacuity
with: Edelman, S.: Network that Learns to Recognize 3D Objects, A
with: Edelman, S.: Representations in High-Level Vision: Reassessing the Inv...
with: Edelman, S.: Synthesis of Visual Modules from Examples: Learning Hyper...
with: Embark, H.: Examining high level neural representations of cluttered s...
with: Evangelopoulos, G.: Symmetry-adapted representation learning
with: Evgeniou, T.: Statistical Learning Theory: A Primer
with: Evgeniou, T.: Trainable Object Detection System, A
with: Evgeniou, T.: trainable pedestrian detection system, A
with: Ezzat, T.: Perceptual Evaluation of Video-Realistic Speech
with: Fabio, A.: Invariant representation for blur and down-sampling transfo...
with: Fahle, M.: Fast Perceptual Learning in Visual Hyperacuity
with: Fahle, M.: Spatiotemporal Interpolation in Vision
with: Fahle, M.: Synthesis of Visual Modules from Examples: Learning Hyperac...
with: Fahle, M.: Visual Hyperacuity: Spatiotemporal Interpolation in Human V...
with: Falavigna, D.: Automatic Person Recognition by Acoustic and Geometric ...
with: Falavigna, D.: Recognition system, particularly for recognising people
with: Faugeras, O.D.: Forest of Sensors, A
with: Freedman, D.J.: Visual Categorization: How the Monkey Brain Does It
with: Freiwald, W.: Examining high level neural representations of cluttered...
with: Gamble, E.B.: Visual Integration and Detection of Discontinuities: The...
with: Garrote, E.: HMDB: A large video database for human motion recognition
with: Geiger, D.: Optimal Scale for Edge Detection, An
with: Geiger, G.: Perceptual Evaluation of Video-Realistic Speech
with: Giese, M.A.: Biologically Plausible Neural Model for the Recognition o...
with: Giese, M.A.: Morphable Models for the Analysis and Synthesis of Comple...
with: Giese, M.A.: Quantification and Classification of Locomotion Patterns ...
with: Giese, M.A.: Synthesis and Recognition of Biological Motion Patterns B...
with: Girosi, F.: Correlation Kernel Reconstruction and Superresolution
with: Girosi, F.: Networks for Approximation and Learning
with: Girosi, F.: Regularization Algorithms for Learning That Are Equivalent...
with: Girosi, F.: Regularization Theory and Neural Networks Architectures
with: Girosi, F.: Theory of Networks for Approximation and Learning, A
with: Grimson, W.E.L.: Forest of Sensors, A
with: Grimson, W.E.L.: Method and apparatus for classifying and identifying ...
with: Grimson, W.E.L.: Progress in Image Understanding at MIT
with: Grimson, W.E.L.: Trainable Modular Vision System, A
with: Gu, H.: Invariant representation for blur and down-sampling transforma...
with: Heisele, B.: Component-based Face Detection
with: Heisele, B.: Component-based Framework for Face Detection and Identifi...
with: Heisele, B.: Face Detection in Still Gray Images
with: Heisele, B.: Face Recognition with Support Vector Machines: Global ver...
with: Heisele, B.: Face recognition: component-based versus global approaches
with: Heisele, B.: Feature Selection for Face Detection
with: Heisele, B.: Full-body person recognition system
with: Heisele, B.: Hierarchical classification and feature reduction for fas...
with: Heisele, B.: Learning and vision machines
with: Heisele, B.: People Recognition in Image Sequences by Supervised Learn...
with: Heiseleyz, B.: Feature Reduction and Hierarchy of Classifiers for Fast...
with: Ho, P.: Face Recognition with Support Vector Machines: Global versus C...
with: Ho, P.: Face recognition: component-based versus global approaches
with: Horn, B.K.P.: Analog VLSI Systems for Image Acquisition and Fast Earl...
with: Horn, B.K.P.: Optical Flow from 1-D Correlation: Application to a Simp...
with: Horn, B.K.P.: Progress in Image Understanding at MIT
with: Hurlbert, A.: View-Based Models of 3D Object Recognition and Class-Spe...
with: Isik, L.: hierarchical model of peripheral vision, A
with: Itoh, N.: Object Recognition and Detection by a Combination of Support...
with: Itti, L.: Attentional Selection for Object Recognition: A Gentle Way
with: Jhuang, H.: Biologically Inspired System for Action Recognition, A
with: Jhuang, H.: HMDB: A large video database for human motion recognition
with: Joel, L.: Invariant representation for blur and down-sampling transfor...
with: Jones, M.J.: Bootstrapping Algorithm for Learning Linear Models of Obj...
with: Jones, M.J.: Hierarchical Morphable Models
with: Jones, M.J.: Model-Based Matching by Linear Combinations of Prototypes
with: Jones, M.J.: Model-Based Matching of Line Drawings by Linear Combinati...
with: Jones, M.J.: Multidimensional Morphable Models
with: Jones, M.J.: Multidimensional Morphable Models: A Framework for Repres...
with: Jones, M.J.: Regularization Theory and Neural Networks Architectures
with: Keast, C.: Analog VLSI Systems for Image Acquisition and Fast Early V...
with: Knight, T.: Analog VLSI Systems for Image Acquisition and Fast Early ...
with: Knoblich, U.: Visual Categorization: How the Monkey Brain Does It
with: Koch, C.: Attentional Selection for Object Recognition: A Gentle Way
with: Koch, C.: Trainable Modular Vision System, A
with: Kreiman, G.: Examining high level neural representations of cluttered ...
with: Kuehne, H.: HMDB: A large video database for human motion recognition
with: Kumar, V.P.: Learning-Based Approach to Estimation of Morphable Model ...
with: Kumar, V.P.: Learning-Based Approach to Real Time Tracking and Analysi...
with: Kumar, V.P.: Real Time Analysis and Tracking of Mouths for Expression ...
with: Kumar, V.P.: Recognizing Expressions by Direct Estimation of the Param...
with: Lee, H.S.: Analog VLSI Systems for Image Acquisition and Fast Early V...
with: Lee, S.W.: hierarchical model of peripheral vision, A
with: Leibo, J.Z.: From primal templates to invariant recognition
with: Leibo, J.Z.: hierarchical model of peripheral vision, A
with: Leibo, J.Z.: Learning Generic Invariances in Object Recognition: Trans...
with: Leibo, J.Z.: Neurons That Confuse Mirror-Symmetric Object Views
with: Librande, S.E.: Computer method and apparatus for matching between lin...
with: Lipson, P.R.: Method and apparatus for classifying and identifying ima...
with: Little, J.J.: Parallel Optical Flow Using Local Voting
with: Logothetis, N.K.: Spatial Reference Frames for Object Recognition Tuni...
with: Logothetis, N.K.: View-Based Models of 3D Object Recognition and Class...
with: Louie, J.: On the Role of Object-Specific Features for Real World Obje...
with: Lozano Perez, T.: Forest of Sensors, A
with: Marr, D.: Bandpass Channels, Zero-Crossings, and Early Visual Informat...
with: Meyers, E.: Examining high level neural representations of cluttered s...
with: Miller, E.K.: Visual Categorization: How the Monkey Brain Does It
with: Mohan, A.: Example-Based Object Detection in Images by Components
with: Mukherjee, S.: Feature Selection for Face Detection
with: Mukherjeey, S.: Feature Reduction and Hierarchy of Classifiers for Fas...
with: Mutch, J.: From primal templates to invariant recognition
with: Mutch, J.: hierarchical model of peripheral vision, A
with: Mutch, J.: Learning Generic Invariances in Object Recognition: Transla...
with: Mutch, J.: Neurons That Confuse Mirror-Symmetric Object Views
with: Nakajima, C.: Full-body person recognition system
with: Nakajima, C.: Object Recognition and Detection by a Combination of Sup...
with: Nakajima, C.: People Recognition in Image Sequences by Supervised Lear...
with: Nayar, S.K.: Early Visual Learning
with: Oren, M.: General Framework for Object Detection, A
with: Oren, M.: Pedestrian Detection Using Wavelet Templates
with: Oren, M.: Real Time Analysis and Tracking of Mouths for Expression Rec...
with: Oren, M.: Trainable System for People Detection, A
with: Osuna, E.: Pedestrian Detection Using Wavelet Templates
with: Osuna, E.: Real Time Analysis and Tracking of Mouths for Expression Re...
with: Osuna, E.: Trainable System for People Detection, A
with: Pan, C.: Invariant representation for blur and down-sampling transform...
with: Papageorgiou, C.: Correlation Kernel Reconstruction and Superresolution
with: Papageorgiou, C.P.: Example-Based Object Detection in Images by Compon...
with: Papageorgiou, C.P.: General Framework for Object Detection, A
with: Papageorgiou, C.P.: Pattern Classification Approach to Dynamical Objec...
with: Papageorgiou, C.P.: Pedestrian Detection Using Wavelet Templates
with: Papageorgiou, C.P.: Trainable Object Detection System, A
with: Papageorgiou, C.P.: Trainable Pedestrian Detection
with: Papageorgiou, C.P.: trainable pedestrian detection system, A
with: Papageorgiou, C.P.: Trainable System for Object Detection, A
with: Papageorgiou, C.P.: Trainable System for People Detection, A
with: Pauls, J.: Spatial Reference Frames for Object Recognition Tuning for ...
with: Pentland, A.P.: VSAM at the MIT Media laboratory and CBCL: Learning an...
with: Pentland, A.P.: VSAM at the MIT Media Laboratory and CBCL: Learning an...
with: Pontil, M.: Component-based Face Detection
with: Pontil, M.: Face Detection in Still Gray Images
with: Pontil, M.: Full-body person recognition system
with: Pontil, M.: Object Recognition and Detection by a Combination of Suppo...
with: Pontil, M.: People Recognition in Image Sequences by Supervised Learning
with: Pontil, M.: Statistical Learning Theory: A Primer
with: Prentice, S.: Hierarchical classification and feature reduction for fa...
with: Riesenhuber, M.: Attentional Selection for Object Recognition: A Gentl...
with: Riesenhuber, M.: Computational Models of Object Recognition in Cortex:...
with: Riesenhuber, M.: Hierarchical models of object recognition in cortex
with: Riesenhuber, M.: Models of Object Recognition
with: Riesenhuber, M.: Object Recognition with Features Inspired by Visual C...
with: Riesenhuber, M.: On the Role of Object-Specific Features for Real Worl...
with: Riesenhuber, M.: Robust Object Recognition with Cortex-Like Mechanisms
with: Riesenhuber, M.: Visual Categorization: How the Monkey Brain Does It
with: Romano, R.: Face Verification for Real-Time Applications
with: Rosasco, L.: Learning Generic Invariances in Object Recognition: Trans...
with: Rosasco, L.: Neurons That Confuse Mirror-Symmetric Object Views
with: Rosasco, L.: Symmetry-adapted representation learning
with: Seidel, M.: Analog VLSI Systems for Image Acquisition and Fast Early ...
with: Serre, T.: Attentive processing improves object recognition
with: Serre, T.: Biologically Inspired System for Action Recognition, A
with: Serre, T.: Component-based Face Detection
with: Serre, T.: Component-based Framework for Face Detection and Identifica...
with: Serre, T.: Examining high level neural representations of cluttered sc...
with: Serre, T.: Feature Selection for Face Detection
with: Serre, T.: Hierarchical classification and feature reduction for fast ...
with: Serre, T.: HMDB: A large video database for human motion recognition
with: Serre, T.: integrated model of visual attention using shape-based feat...
with: Serre, T.: new biologically motivated framework for robust object reco...
with: Serre, T.: Object Recognition with Features Inspired by Visual Cortex
with: Serre, T.: On the Role of Object-Specific Features for Real World Obje...
with: Serre, T.: Robust Object Recognition with Cortex-Like Mechanisms
with: Serrey, T.: Feature Reduction and Hierarchy of Classifiers for Fast Ob...
with: Shashua, A.: Example Based Image Analysis and Synthesis
with: Shashua, A.: Example-based image analysis and synthesis using pixelwis...
with: Shelton, C.R.: Machine Learning, Machine Vision, and the Brain
with: Shimizu, H.: Direction Estimation of Pedestrian from Images
with: Shimizu, H.: Direction estimation of pedestrian from multiple still im...
with: Sinha, P.: Method and apparatus for classifying and identifying images
with: Sinha, P.: Pedestrian Detection Using Wavelet Templates
with: Sinha, P.: Trainable System for People Detection, A
with: Sinha, P.: View-Based Strategies for 3D Object Recognition
with: Smale, S.: Neurons That Confuse Mirror-Symmetric Object Views
with: Sodini, C.: Analog VLSI Systems for Image Acquisition and Fast Early ...
with: Sodini, C.: Trainable Modular Vision System, A
with: Standley, D.: Analog VLSI Systems for Image Acquisition and Fast Earl...
with: Stein, L.: Trainable Modular Vision System, A
with: Stringa, L.: Automatic Person Recognition by Acoustic and Geometric Fe...
with: Stringa, L.: Recognition system, particularly for recognising people
with: Sung, K.K.: Example-Based Learning for View-Based Human Face Detection
with: Sung, K.K.: Learning human face detection in cluttered scenes
with: Sung, K.K.: Networks that Learn for Image Understanding
with: Tan, C.: integrated model of visual attention using shape-based featur...
with: Teller, S.: Forest of Sensors, A
with: Torre, V.: Green Theorems and Qualitative Properties of the Optical Flow
with: Ullman, S.: Bandpass Channels, Zero-Crossings, and Early Visual Inform...
with: Ullman, S.: From primal templates to invariant recognition
with: Ullman, S.: Learning Generic Invariances in Object Recognition: Transl...
with: Verri, A.: Green Theorems and Qualitative Properties of the Optical Flow
with: Verri, A.: Introduction: Learning and Vision at CBCL
with: Verri, A.: Learning and vision machines
with: Verri, A.: Regularization Theory and Shape Constraints
with: Vetter, T.: 3D Object Recognition: Symmetry and Virtual Views
with: Vetter, T.: Bootstrapping Algorithm for Learning Linear Models of Obje...
with: Vetter, T.: Image Synthesis from a Single Example Image
with: Vetter, T.: Linear Object Classes and Image Synthesis from a Single Ex...
with: Vetter, T.: Recognition and Structure from one 2D Model View: Observat...
with: Vetter, T.: Symmetric 3D Objects are an Easy Case for 2D Object Recogn...
with: Vetter, T.: View-Based Models of 3D Object Recognition and Class-Speci...
with: Viola, P.: Forest of Sensors, A
with: Voorhees, H.: Detecting Blobs as Textons in Natural Images
with: Voorhees, H.: Detecting Textons and Texture Boundaries in Natural Images
with: Voorhees, H.: Regularized Solution to Edge Detection, A
with: Walther, D.B.: Attentional Selection for Object Recognition: A Gentle ...
with: Wolf, L.: Biologically Inspired System for Action Recognition, A
with: Wolf, L.B.: new biologically motivated framework for robust object rec...
with: Wolf, L.B.: Object Recognition with Features Inspired by Visual Cortex
with: Wolf, L.B.: Robust Object Recognition with Cortex-Like Mechanisms
with: Wu, J.: Face recognition: component-based versus global approaches
with: Wyatt, J.L.: Analog VLSI Systems for Image Acquisition and Fast Early...
with: Yang, W.: Trainable Modular Vision System, A
with: Yokono, J.J.: Boosting a Biologically Inspired Local Descriptor for Ge...
with: Yokono, J.J.: Evaluation of sets of oriented and non-oriented receptiv...
with: Yokono, J.J.: Oriented filters for object recognition: an empirical st...
with: Yokono, J.J.: Rotation Invariant Object Recognition from One Training ...
with: Yokoyama, M.: Contour-Based Moving Object Detection and Tracking, A
with: Yuille, A.L.: Regularized Solution to Edge Detection, A
269 for Poggio, T.
Poggio, T.A.
Standard Author Listing
with: Bertero, M.: Ill-Posed Problems in Early Vision
with: Bulthoff, H.H.: Parallel Algorithm for Real-time Computation of Optica...
with: Bulthoff, H.H.: Parallel Motion Algorithm Consistent with Psychophysi...
with: Bulthoff, H.H.: Parallel Optical Flow Computation
with: Chellappa, R.: Applications of Artificial Neural Networks to Image Pro...
with: Cheng, C.J.: Computer method and apparatus for video conferencing
with: Drumheller, M.: On Parallel Stereo
with: Edelman, S.: Learning of Visual Modules from Examples: A Framework for...
with: Ezzat, A.F.: Facial analysis and synthesis using image-based models
with: Ezzat, A.F.: Trainable videorealistic speech animation
with: Ezzat, A.F.: Visual Speech Synthesis by Morphing Visemes
with: Fahle, M.: Learning of Visual Modules from Examples: A Framework for U...
with: Fukushima, K.: Applications of Artificial Neural Networks to Image Pro...
with: Gamble, E.B.: Integration of Vision Modules and Labeling of Surface Di...
with: Gamble, E.B.: Parallel Integration of Vision Modules
with: Geiger, D.: Integration of Vision Modules and Labeling of Surface Disc...
with: Geiger, G.: Trainable videorealistic speech animation
with: Hurlbert, A.C.: Learning a Color Algorithm from Examples
with: Hurlbert, A.C.: Synthesizing a Color Algorithm from Examples
with: Katsaggelos, B.K.: Applications of Artificial Neural Networks to Image...
with: Koch, C.: Computational Vision and Regularization Theory
with: Koch, C.: Ill-Posed Problems and Regularization Analysis in Early Vision
with: Kung, S.Y.: Applications of Artificial Neural Networks to Image Proces...
with: Le Cun, Y.L.: Applications of Artificial Neural Networks to Image Proc...
with: Little, J.J.: Parallel Algorithm for Real-time Computation of Optical ...
with: Little, J.J.: Parallel Integration of Vision Modules
with: Little, J.J.: Parallel Motion Algorithm Consistent with Psychophysics...
with: Little, J.J.: Parallel Optical Flow Computation
with: Marr, D.: Analysis of a Cooperative Stereo Algorithm
with: Marr, D.: Computational Theory of Human Stereo Vision, A
with: Marr, D.: Cooperative Computation of Stereo Disparity
with: Marr, D.: Theory of Human Stereo Vision, A
with: Marroquin, J.L.: Probabilistic Solution of Ill-Posed Problems in Compu...
with: Mitter, S.K.: Probabilistic Solution of Ill-Posed Problems in Computat...
with: Nasrabadi, N.M.: Applications of Artificial Neural Networks to Image P...
with: Palm, G.: Analysis of a Cooperative Stereo Algorithm
with: Toelg, S.: Towards an Example-Based Image Compression Architecture for...
with: Torre, V.: Computational Vision and Regularization Theory
with: Torre, V.: Ill-Posed Problems and Regularization Analysis in Early Vis...
with: Torre, V.: Ill-Posed Problems in Early Vision
with: Torre, V.: On Edge Detection
with: Verri, A.: Against Quantitative Optical Flow
with: Verri, A.: Motion Field and Optical Flow: Differences and Qualitative ...
with: Verri, A.: Motion Field and Optical Flow: Qualitative Properties
with: Weinshall, D.: Integration of Vision Modules and Labeling of Surface D...
with: Yuille, A.L.: Fingerprint Theorems for Zero-Crossings
with: Yuille, A.L.: Fingerprints Theorems
with: Yuille, A.L.: Generalized Ordering Constraint for Stereo Correspondenc...
with: Yuille, A.L.: Scaling and Fingerprint Theorems for Zero-Crossings
with: Yuille, A.L.: Scaling Theorems for Zero-Crossings
with: Zhang, B.: Computer method and apparatus for video conferencing
70 for Poggio, T.A.
Poggioni, V.
Standard Author Listing
with: Baia, A.E.: Black-Box Attacks on Image Activity Prediction and its Nat...
with: Cavallaro, A.: Black-Box Attacks on Image Activity Prediction and its ...