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ORCIDElisa Ricci 0001
Person information
- affiliation: Fondazione Bruno Kessler (FBK), Trento, Italy
- affiliation (PhD 2008): University of Perugia, Italy
Other persons with the same name
- Elisa Ricci 0002 — University of Parma, Department of Mathematics, Italy
- Elisa Ricci 0003 — University of Rome "Tor Vergata", Electronic Engineering Department, Italy
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2020 – today
- 2024
[j48]Xinzhu Ma
, Wanli Ouyang, Andrea Simonelli, Elisa Ricci:
3D Object Detection From Images for Autonomous Driving: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3537-3556 (2024)- [c125]Tamás Kiss, Amjad Ullah, Gábor Terstyánszky, Odej Kao, Sören Becker, Yiannis Verginadis, Antonis Michalas, Vlado Stankovski, Attila Kertész, Elisa Ricci, Jörn Altmann, Bernhard Egger, Francesco Tusa, József Kovács, Róbert Lovas:
Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. AINA (5) 2024: 89-100 - [c124]Shirsha Bose, Ankit Jha, Enrico Fini, Mainak Singha, Elisa Ricci, Biplab Banerjee:
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. WACV 2024: 5530-5540 - [i106]Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Democratizing Fine-grained Visual Recognition with Large Language Models. CoRR abs/2401.13837 (2024) - [i105]Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov, Ekaterina Deyneka, Tsai-Shien Chen, Anil Kag, Yuwei Fang, Aleksei Stoliar, Elisa Ricci, Jian Ren, Sergey Tulyakov:
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis. CoRR abs/2402.14797 (2024) - 2023
- [j47]Guanglei Yang, Zhun Zhong, Mingli Ding, Nicu Sebe, Elisa Ricci:
Self-training transformer for source-free domain adaptation. Appl. Intell. 53(13): 16560-16574 (2023) - [j46]Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci:
Interactive Neural Painting. Comput. Vis. Image Underst. 235: 103778 (2023) - [j45]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2567-2581 (2023) - [j44]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14234-14247 (2023) - [j43]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multim. 25: 3841-3854 (2023) - [c123]Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci:
Semi-supervised learning made simple with self-supervised clustering. CVPR 2023: 3187-3197 - [c122]Luigi Riz, Cristiano Saltori, Elisa Ricci, Fabio Poiesi:
Novel Class Discovery for 3D Point Cloud Semantic Segmentation. CVPR 2023: 9393-9402 - [c121]Giacomo Zara, Subhankar Roy, Paolo Rota, Elisa Ricci:
AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation. CVPR 2023: 11504-11513 - [c120]Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni:
Quantum Multi-Model Fitting. CVPR 2023: 13640-13649 - [c119]Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé:
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. ICCV 2023: 196-206 - [c118]Giacomo Zara, Alessandro Conti, Subhankar Roy, Stéphane Lathuilière, Paolo Rota, Elisa Ricci:
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation. ICCV 2023: 10273-10283 - [c117]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. ICCV 2023: 11834-11843 - [c116]Francesco Tonini, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Object-aware Gaze Target Detection. ICCV 2023: 21803-21812 - [c115]Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci:
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. ICCV (Workshops) 2023: 3577-3586 - [c114]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c113]Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations. ICIAP (2) 2023: 49-62 - [c112]Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Exploring Diffusion Models for Unsupervised Video Anomaly Detection. ICIP 2023: 2540-2544 - [c111]GK Tejus, Giacomo Zara, Paolo Rota, Andrea Fusiello, Elisa Ricci, Federica Arrigoni:
Rotation Synchronization via Deep Matrix Factorization. ICRA 2023: 2113-2119 - [c110]Elisa Ricci:
Recognizing Actions in Videos Under Domain Shift. IMPROVE 2023: 5 - [c109]Elisa Ricci:
Recognizing Actions in Videos under Domain Shift. ICMR 2023: 671 - [c108]Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci:
Vocabulary-free Image Classification. NeurIPS 2023 - [c107]Giulio Mattolin, Luca Zanella, Elisa Ricci, Yiming Wang:
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing. WACV 2023: 423-433 - [c106]Guofeng Mei, Fabio Poiesi, Cristiano Saltori, Jian Zhang, Elisa Ricci, Nicu Sebe:
Overlap-guided Gaussian Mixture Models for Point Cloud Registration. WACV 2023: 4500-4509 - [c105]Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière:
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation. WACV 2023: 5593-5602 - [i104]Giacomo Zara, Victor Guilherme Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci:
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning. CoRR abs/2301.03322 (2023) - [i103]Shirsha Bose, Enrico Fini, Ankit Jha, Mainak Singha, Biplab Banerjee, Elisa Ricci:
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. CoRR abs/2302.09251 (2023) - [i102]Luigi Riz, Cristiano Saltori, Elisa Ricci, Fabio Poiesi:
Novel Class Discovery for 3D Point Cloud Semantic Segmentation. CoRR abs/2303.11610 (2023) - [i101]Willi Menapace, Aliaksandr Siarohin, Stéphane Lathuilière, Panos Achlioptas, Vladislav Golyanik, Elisa Ricci, Sergey Tulyakov:
Plotting Behind the Scenes: Towards Learnable Game Engines. CoRR abs/2303.13472 (2023) - [i100]Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni:
Quantum Multi-Model Fitting. CoRR abs/2303.15444 (2023) - [i99]Mingxuan Liu, Subhankar Roy, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery. CoRR abs/2303.15975 (2023) - [i98]Giacomo Zara, Subhankar Roy, Paolo Rota, Elisa Ricci:
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation. CoRR abs/2304.01110 (2023) - [i97]Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Exploring Diffusion Models for Unsupervised Video Anomaly Detection. CoRR abs/2304.05841 (2023) - [i96]Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé:
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. CoRR abs/2304.11705 (2023) - [i95]GK Tejus, Giacomo Zara, Paolo Rota, Andrea Fusiello, Elisa Ricci, Federica Arrigoni:
Rotation Synchronization via Deep Matrix Factorization. CoRR abs/2305.05268 (2023) - [i94]Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci:
Vocabulary-free Image Classification. CoRR abs/2306.00917 (2023) - [i93]Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci:
Semi-supervised learning made simple with self-supervised clustering. CoRR abs/2306.07483 (2023) - [i92]Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations. CoRR abs/2307.01533 (2023) - [i91]Francesco Tonini, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Object-aware Gaze Target Detection. CoRR abs/2307.09662 (2023) - [i90]Elia Peruzzo, Willi Menapace, Vidit Goel, Federica Arrigoni, Hao Tang, Xingqian Xu, Arman Chopikyan, Nikita Orlov, Yuxiao Hu, Humphrey Shi, Nicu Sebe, Elisa Ricci:
Interactive Neural Painting. CoRR abs/2307.16441 (2023) - [i89]Giacomo Zara, Alessandro Conti, Subhankar Roy, Stéphane Lathuilière, Paolo Rota, Elisa Ricci:
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation. CoRR abs/2308.09139 (2023) - [i88]Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci:
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. CoRR abs/2308.09610 (2023) - [i87]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. CoRR abs/2308.14619 (2023) - [i86]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i85]Luca Zanella, Benedetta Liberatori, Willi Menapace, Fabio Poiesi, Yiming Wang, Elisa Ricci:
Delving into CLIP latent space for Video Anomaly Recognition. CoRR abs/2310.02835 (2023) - [i84]Simone Caldarella, Elisa Ricci, Rahaf Aljundi:
Incremental Object-Based Novelty Detection with Feedback Loop. CoRR abs/2311.09004 (2023) - [i83]Nicola Dall'Asen, Willi Menapace, Elia Peruzzo, Enver Sangineto, Yiming Wang, Elisa Ricci:
Collaborative Neural Painting. CoRR abs/2312.01800 (2023) - [i82]Victor G. Turrisi da Costa, Nicola Dall'Asen, Yiming Wang, Nicu Sebe, Elisa Ricci:
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification. CoRR abs/2312.03046 (2023) - [i81]Luigi Riz, Cristiano Saltori, Yiming Wang, Elisa Ricci, Fabio Poiesi:
Novel class discovery meets foundation models for 3D semantic segmentation. CoRR abs/2312.03782 (2023) - 2022
- [j42]Federica Arrigoni, Elisa Ricci, Tomás Pajdla:
Multi-frame Motion Segmentation by Combining Two-Frame Results. Int. J. Comput. Vis. 130(3): 696-728 (2022) - [j41]Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci:
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. 23: 56:1-56:6 (2022) - [j40]Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2673-2688 (2022) - [j39]Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10099-10113 (2022) - [j38]Xun Yang, Liang Zheng, Elisa Ricci, Meng Wang:
Introduction to the Special Section on Learning Representations, Similarity, and Associations in Dynamic Multimedia Environments. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 127e:1-127e:2 (2022) - [c104]Alessandro Conti, Paolo Rota, Yiming Wang, Elisa Ricci:
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition. BMVC 2022: 486 - [c103]Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Jian Zhang, Elisa Ricci, Nicu Sebe, Qiang Wu:
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding. BMVC 2022: 1049 - [c102]Willi Menapace, Stéphane Lathuilière, Aliaksandr Siarohin, Christian Theobalt, Sergey Tulyakov, Vladislav Golyanik, Elisa Ricci:
Playable Environments: Video Manipulation in Space and Time. CVPR 2022: 3574-3583 - [c101]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CVPR 2022: 9611-9620 - [c100]Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-Incremental Novel Class Discovery. ECCV (33) 2022: 317-333 - [c99]Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik:
Quantum Motion Segmentation. ECCV (29) 2022: 506-523 - [c98]Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin:
Uncertainty-Guided Source-Free Domain Adaptation. ECCV (25) 2022: 537-555 - [c97]Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. ECCV (33) 2022: 567-585 - [c96]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. ECCV (33) 2022: 586-602 - [c95]Nicola Dall'Asen, Yiming Wang, Hao Tang, Luca Zanella, Elisa Ricci:
Graph-Based Generative Face Anonymisation with Pose Preservation. ICIAP (2) 2022: 503-515 - [c94]Francesco Tonini, Cigdem Beyan, Elisa Ricci:
Multimodal Across Domains Gaze Target Detection. ICMI 2022: 420-431 - [c93]Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci:
Unsupervised Domain Adaptation for Video Transformers in Action Recognition. ICPR 2022: 1258-1265 - [c92]Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci:
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. ICPR 2022: 2589-2596 - [c91]Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci:
Dual-Head Contrastive Domain Adaptation for Video Action Recognition. WACV 2022: 2234-2243 - [i80]Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. CoRR abs/2201.13338 (2022) - [i79]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. CoRR abs/2202.00432 (2022) - [i78]Xinzhu Ma, Wanli Ouyang, Andrea Simonelli, Elisa Ricci:
3D Object Detection from Images for Autonomous Driving: A Survey. CoRR abs/2202.02980 (2022) - [i77]Willi Menapace, Stéphane Lathuilière, Aliaksandr Siarohin, Christian Theobalt, Sergey Tulyakov, Vladislav Golyanik, Elisa Ricci:
Playable Environments: Video Manipulation in Space and Time. CoRR abs/2203.01914 (2022) - [i76]Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik:
Quantum Motion Segmentation. CoRR abs/2203.13185 (2022) - [i75]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR abs/2203.14098 (2022) - [i74]Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Class-incremental Novel Class Discovery. CoRR abs/2207.08605 (2022) - [i73]Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. CoRR abs/2207.09763 (2022) - [i72]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. CoRR abs/2207.09778 (2022) - [i71]Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci:
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. CoRR abs/2207.11482 (2022) - [i70]Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci:
Unsupervised Domain Adaptation for Video Transformers in Action Recognition. CoRR abs/2207.12842 (2022) - [i69]Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin:
Uncertainty-guided Source-free Domain Adaptation. CoRR abs/2208.07591 (2022) - [i68]Francesco Tonini, Cigdem Beyan, Elisa Ricci:
Multimodal Across Domains Gaze Target Detection. CoRR abs/2208.10822 (2022) - [i67]Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière:
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation. CoRR abs/2210.01578 (2022) - [i66]Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Jian Zhang, Elisa Ricci, Nicu Sebe, Qiang Wu:
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding. CoRR abs/2210.02798 (2022) - [i65]Alessandro Conti, Paolo Rota, Yiming Wang, Elisa Ricci:
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition. CoRR abs/2210.05246 (2022) - [i64]Guofeng Mei, Fabio Poiesi, Cristiano Saltori, Jian Zhang, Elisa Ricci, Nicu Sebe:
Overlap-guided Gaussian Mixture Models for Point Cloud Registration. CoRR abs/2210.09836 (2022) - [i63]Giulio Mattolin, Luca Zanella, Elisa Ricci, Yiming Wang:
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing. CoRR abs/2210.11539 (2022) - [i62]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. CoRR abs/2212.05102 (2022) - 2021
- [j37]Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci:
TriGAN: image-to-image translation for multi-source domain adaptation. Mach. Vis. Appl. 32(1): 41 (2021) - [j36]Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Inferring Latent Domains for Unsupervised Deep Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 485-498 (2021) - [j35]Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, Samuel Rota Bulò:
MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4441-4452 (2021) - [c90]Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation. CVPR 2021: 5351-5360 - [c89]Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov, Aliaksandr Siarohin, Elisa Ricci:
Playable Video Generation. CVPR 2021: 10061-10070 - [c88]Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe:
Neighborhood Contrastive Learning for Novel Class Discovery. CVPR 2021: 10867-10875 - [c87]Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci:
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? ICCV 2021: 3205-3213 - [c86]Federica Arrigoni, Andrea Fusiello, Elisa Ricci, Tomás Pajdla:
Viewing Graph Solvability via Cycle Consistency. ICCV 2021: 5520-5529 - [c85]Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. ICCV 2021: 9264-9272 - [c84]Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri, Elisa Ricci, Stéphane Lathuilière:
Click to Move: Controlling Video Generation with Sparse Motion. ICCV 2021: 14729-14738 - [c83]Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci:
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. ICCV 2021: 16249-16259 - [c82]Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-Visual Speech Separation. MLSP 2021: 1-6 - [i61]Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. CoRR abs/2101.02843 (2021) - [i60]The-Phuc Nguyen, Stéphane Lathuilière, Elisa Ricci:
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. CoRR abs/2101.03806 (2021) - [i59]Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov, Aliaksandr Siarohin, Elisa Ricci:
Playable Video Generation. CoRR abs/2101.12195 (2021) - [i58]Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci:
Variational Structured Attention Networks for Deep Visual Representation Learning. CoRR abs/2103.03510 (2021) - [i57]Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci:
Transformers Solve the Limited Receptive Field for Monocular Depth Prediction. CoRR abs/2103.12091 (2021) - [i56]Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Inferring Latent Domains for Unsupervised Deep Domain Adaptation. CoRR abs/2103.13873 (2021) - [i55]Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò:
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations. CoRR abs/2103.13894 (2021) - [i54]Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci:
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation. CoRR abs/2104.00808 (2021) - [i53]Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci:
Transformer-Based Source-Free Domain Adaptation. CoRR abs/2105.14138 (2021) - [i52]Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe:
Neighborhood Contrastive Learning for Novel Class Discovery. CoRR abs/2106.10731 (2021) - [i51]Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci:
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. CoRR abs/2108.01775 (2021) - [i50]Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. CoRR abs/2108.08536 (2021) - [i49]Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri, Elisa Ricci, Stéphane Lathuilière:
Click to Move: Controlling Video Generation with Sparse Motion. CoRR abs/2108.08815 (2021) - [i48]Guanglei Yang, Zhun Zhong, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci:
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation. CoRR abs/2111.10339 (2021) - [i47]Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR abs/2111.10346 (2021) - [i46]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CoRR abs/2112.04215 (2021) - [i45]Nicola Dall'Asen, Yiming Wang, Hao Tang, Luca Zanella, Elisa Ricci:
Graph-based Generative Face Anonymisation with Pose Preservation. CoRR abs/2112.05496 (2021) - 2020
- [j34]Xavier Alameda-Pineda, Elisa Ricci, Albert Ali Salah, Nicu Sebe, Shuicheng Yan:
Special Issue on Generating Realistic Visual Data of Human Behavior. Int. J. Comput. Vis. 128(5): 1376-1377 (2020) - [j33]Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò:
Boosting binary masks for multi-domain learning through affine transformations. Mach. Vis. Appl. 31(6): 42 (2020) - [j32]Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2380-2395 (2020) - [j31]Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Boosting Deep Open World Recognition by Clustering. IEEE Robotics Autom. Lett. 5(4): 5985-5992 (2020) - [j30]Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi:
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39(8): 2676-2687 (2020) - [j29]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe:
Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets. IEEE Trans. Multim. 22(11): 2808-2819 (2020) - [c81]Cristiano Saltori, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci, Fabio Galasso:
SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection. 3DV 2020: 771-780 - [c80]Zhenyu Zhang, Stéphane Lathuilière, Elisa Ricci, Nicu Sebe, Yan Yan, Jian Yang:
Online Depth Learning Against Forgetting in Monocular Videos. CVPR 2020: 4493-4502 - [c79]Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental Learning in Semantic Segmentation. CVPR 2020: 9230-9239 - [c78]Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo:
Towards Recognizing Unseen Categories in Unseen Domains. ECCV (23) 2020: 466-483 - [c77]Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning Under Extreme Memory Constraints. ECCV (28) 2020: 720-735 - [c76]Willi Menapace, Stéphane Lathuilière, Elisa Ricci:
Learning to Cluster Under Domain Shift. ECCV (28) 2020: 736-752 - [c75]Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder:
Towards Generalization Across Depth for Monocular 3D Object Detection. ECCV (22) 2020: 767-782 - [c74]The-Phuc Nguyen, Stéphane Lathuilière, Elisa Ricci:
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. ICPR 2020: 5368-5375 - [c73]Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Shape Consistent 2D Keypoint Estimation under Domain Shift. ICPR 2020: 8037-8044 - [c72]Pierfrancesco Ardino, Yahui Liu, Elisa Ricci, Bruno Lepri, Marco De Nadai:
Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation. ICPR 2020: 9280-9287 - [c71]Aliaksandr Siarohin, Subhankar Roy, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Motion-supervised Co-Part Segmentation. ICPR 2020: 9650-9657 - [c70]Jiaying Liu, Wen-Huang Cheng, Klara Nahrstedt, Ramesh C. Jain, Elisa Ricci, Hyeran Byun:
Coping with Pandemics: Opportunities and Challenges for AI Multimedia in the "New Normal". ACM Multimedia 2020: 4794-4795 - [e3]Chang Wen Chen, Rita Cucchiara, Xian-Sheng Hua, Guo-Jun Qi, Elisa Ricci, Zhengyou Zhang, Roger Zimmermann:
MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020. ACM 2020, ISBN 978-1-4503-7988-5 [contents] - [i44]Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Modeling the Background for Incremental Learning in Semantic Segmentation. CoRR abs/2002.00718 (2020) - [i43]Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
First Order Motion Model for Image Animation. CoRR abs/2003.00196 (2020) - [i42]Aliaksandr Siarohin, Subhankar Roy, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Motion-supervised Co-Part Segmentation. CoRR abs/2004.03234 (2020) - [i41]Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci:
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. CoRR abs/2004.08769 (2020) - [i40]Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Boosting Deep Open World Recognition by Clustering. CoRR abs/2004.13849 (2020) - [i39]Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo:
Towards Recognizing Unseen Categories in Unseen Domains. CoRR abs/2007.12256 (2020) - [i38]Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning under Extreme Memory Constraints. CoRR abs/2008.01510 (2020) - [i37]Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Shape Consistent 2D Keypoint Estimation under Domain Shift. CoRR abs/2008.01589 (2020) - [i36]Willi Menapace, Stéphane Lathuilière, Elisa Ricci:
Learning to Cluster under Domain Shift. CoRR abs/2008.04646 (2020) - [i35]Viet-Nhat Nguyen, Mostafa Sadeghi, Elisa Ricci, Xavier Alameda-Pineda:
Deep Variational Generative Models for Audio-visual Speech Separation. CoRR abs/2008.07191 (2020) - [i34]Cristiano Saltori, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci, Fabio Galasso:
SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection. CoRR abs/2010.08243 (2020) - [i33]Pierfrancesco Ardino, Yahui Liu, Elisa Ricci, Bruno Lepri, Marco De Nadai:
Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation. CoRR abs/2010.09334 (2020) - [i32]Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci:
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection. CoRR abs/2012.05796 (2020)
2010 – 2019
- 2019
- [j28]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1426-1440 (2019) - [j27]Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Increasing Image Memorability with Neural Style Transfer. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 42:1-42:22 (2019) - [c69]Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Barbara Caputo, Elisa Ricci:
Structured Domain Adaptation for 3D Keypoint Estimation. 3DV 2019: 57-66 - [c68]Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Animating Arbitrary Objects via Deep Motion Transfer. CVPR 2019: 2377-2386 - [c67]Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs. CVPR 2019: 6568-6577 - [c66]Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci:
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. CVPR 2019: 9471-9480 - [c65]Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci:
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. CVPR 2019: 9768-9777 - [c64]Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci:
Budget-Aware Adapters for Multi-Domain Learning. ICCV 2019: 382-391 - [c63]Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition. ICRA 2019: 9537-9543 - [c62]Fabio Cermelli, Massimiliano Mancini, Elisa Ricci, Barbara Caputo:
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots. IROS 2019: 6097-6104 - [c61]Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
First Order Motion Model for Image Animation. NeurIPS 2019: 7135-7145 - [e2]Elisa Ricci, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebe:
Image Analysis and Processing - ICIAP 2019 - 20th International Conference, Trento, Italy, September 9-13, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11751, Springer 2019, ISBN 978-3-030-30641-0 [contents] - [e1]Elisa Ricci, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebe:
Image Analysis and Processing - ICIAP 2019 - 20th International Conference, Trento, Italy, September 9-13, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11752, Springer 2019, ISBN 978-3-030-30644-1 [contents] - [i31]Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci:
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss. CoRR abs/1903.03215 (2019) - [i30]Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci:
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. CoRR abs/1903.04202 (2019) - [i29]Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs. CoRR abs/1903.07062 (2019) - [i28]Fabio Cermelli, Massimiliano Mancini, Elisa Ricci, Barbara Caputo:
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots. CoRR abs/1904.00912 (2019) - [i27]Zhenyu Zhang, Stéphane Lathuilière, Andrea Pilzer, Nicu Sebe, Elisa Ricci, Jian Yang:
Online Adaptation through Meta-Learning for Stereo Depth Estimation. CoRR abs/1904.08462 (2019) - [i26]Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci:
Budget-Aware Adapters for Multi-Domain Learning. CoRR abs/1905.06242 (2019) - [i25]Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition. CoRR abs/1906.01258 (2019) - [i24]Andrea Pilzer, Stéphane Lathuilière, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks. CoRR abs/1909.07667 (2019) - [i23]Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder:
Single-Stage Monocular 3D Object Detection with Virtual Cameras. CoRR abs/1912.08035 (2019) - 2018
- [j26]Jagannadan Varadarajan, Ramanathan Subramanian, Samuel Rota Bulò, Narendra Ahuja, Oswald Lanz, Elisa Ricci:
Joint Estimation of Human Pose and Conversational Groups from Social Scenes. Int. J. Comput. Vis. 126(2-4): 410-429 (2018) - [j25]Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Robust Place Categorization With Deep Domain Generalization. IEEE Robotics Autom. Lett. 3(3): 2093-2100 (2018) - [j24]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning With Partial Curricula for Sketch-Based Image Retrieval. IEEE Trans. Image Process. 27(9): 4410-4421 (2018) - [c60]Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks. 3DV 2018: 587-595 - [c59]Aliaksandr Siarohin, Gloria Zen, Nicu Sebe, Elisa Ricci:
Enhancing Perceptual Attributes with Bayesian Style Generation. ACCV (1) 2018: 483-498 - [c58]Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Boosting Domain Adaptation by Discovering Latent Domains. CVPR 2018: 3771-3780 - [c57]Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci:
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. CVPR 2018: 3917-3925 - [c56]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci, Nicu Sebe:
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation. CVPR 2018: 7083-7092 - [c55]Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò:
Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks. ECCV Workshops (2) 2018: 180-189 - [c54]Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Best Sources Forward: Domain Generalization through Source-Specific Nets. ICIP 2018: 1353-1357 - [c53]Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Kitting in the Wild through Online Domain Adaptation. IROS 2018: 1103-1109 - [p4]Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Multimodal analysis of free-standing conversational groups. Frontiers of Multimedia Research 2018: 51-74 - [i22]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. CoRR abs/1801.00524 (2018) - [i21]Wei Wang, Xavier Alameda-Pineda, Dan Xu, Elisa Ricci, Nicu Sebe:
Every Smile is Unique: Landmark-Guided Diverse Smile Generation. CoRR abs/1802.01873 (2018) - [i20]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks. CoRR abs/1803.00891 (2018) - [i19]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval. CoRR abs/1803.01504 (2018) - [i18]Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe, Elisa Ricci:
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. CoRR abs/1803.11029 (2018) - [i17]Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Boosting Domain Adaptation by Discovering Latent Domains. CoRR abs/1805.01386 (2018) - [i16]Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò:
Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks. CoRR abs/1805.11119 (2018) - [i15]Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Robust Place Categorization with Deep Domain Generalization. CoRR abs/1805.12048 (2018) - [i14]Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
Best sources forward: domain generalization through source-specific nets. CoRR abs/1806.05810 (2018) - [i13]Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Kitting in the Wild through Online Domain Adaptation. CoRR abs/1807.01028 (2018) - [i12]Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks. CoRR abs/1807.10915 (2018) - [i11]Aliaksandr Siarohin, Gloria Zen, Nicu Sebe, Elisa Ricci:
Enhancing Perceptual Attributes with Bayesian Style Generation. CoRR abs/1812.00717 (2018) - [i10]Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Animating Arbitrary Objects via Deep Motion Transfer. CoRR abs/1812.08861 (2018) - 2017
- [j23]Dan Xu, Yan Yan, Elisa Ricci, Nicu Sebe:
Detecting anomalous events in videos by learning deep representations of appearance and motion. Comput. Vis. Image Underst. 156: 117-127 (2017) - [j22]Lorenzo Porzi, Samuel Rota Bulò, Oswald Lanz, Paolo Valigi, Elisa Ricci:
An automatic image-to-DEM alignment approach for annotating mountains pictures on a smartphone. Mach. Vis. Appl. 28(1-2): 101-115 (2017) - [j21]Lorenzo Porzi, Samuel Rota Bulò, Adrián Peñate Sánchez, Elisa Ricci, Francesc Moreno-Noguer:
Learning Depth-Aware Deep Representations for Robotic Perception. IEEE Robotics Autom. Lett. 2(2): 468-475 (2017) - [j20]Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Learning Deep NBNN Representations for Robust Place Categorization. IEEE Robotics Autom. Lett. 2(3): 1794-1801 (2017) - [c52]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. CVPR 2017: 161-169 - [c51]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CVPR 2017: 484-492 - [c50]Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. CVPR 2017: 4236-4244 - [c49]Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, Samuel Rota Bulò:
AutoDIAL: Automatic Domain Alignment Layers. ICCV 2017: 5077-5085 - [c48]Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, Samuel Rota Bulò:
Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation. ICIAP (1) 2017: 357-369 - [c47]Lorenzo Porzi, Adrián Peñate Sánchez, Elisa Ricci, Francesc Moreno-Noguer:
Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images. IROS 2017: 5777-5783 - [c46]Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
How to Make an Image More Memorable?: A Deep Style Transfer Approach. ICMR 2017: 322-329 - [c45]Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction. NIPS 2017: 3961-3970 - [p3]Elisa Ricci, Yan Yan, Anoop Kolar Rajagopal, Ramanathan Subramanian, Radu L. Vieriu, Oswald Lanz, Nicu Sebe:
Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios. Group and Crowd Behavior for Computer Vision 2017: 67-87 - [p2]Xavier Alameda-Pineda, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe:
SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions. Group and Crowd Behavior for Computer Vision 2017: 321-340 - [i9]Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, Samuel Rota Bulò:
Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation. CoRR abs/1702.06332 (2017) - [i8]Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo:
Learning Deep NBNN Representations for Robust Place Categorization. CoRR abs/1702.07898 (2017) - [i7]Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci:
Viraliency: Pooling Local Virality. CoRR abs/1703.03937 (2017) - [i6]Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
How to Make an Image More Memorable? A Deep Style Transfer Approach. CoRR abs/1704.01745 (2017) - [i5]Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe:
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation. CoRR abs/1704.02157 (2017) - [i4]Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection. CoRR abs/1704.02431 (2017) - [i3]Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo, Elisa Ricci, Samuel Rota Bulò:
AutoDIAL: Automatic DomaIn Alignment Layers. CoRR abs/1704.08082 (2017) - 2016
- [j19]Yan Yan, Elisa Ricci, Ramanathan Subramanian, Gaowen Liu, Oswald Lanz, Nicu Sebe:
A Multi-Task Learning Framework for Head Pose Estimation under Target Motion. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1070-1083 (2016) - [j18]Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe:
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1707-1720 (2016) - [j17]Gloria Zen, Lorenzo Porzi, Enver Sangineto, Elisa Ricci, Nicu Sebe:
Learning Personalized Models for Facial Expression Analysis and Gesture Recognition. IEEE Trans. Multim. 18(4): 775-788 (2016) - [c44]Sergey Tulyakov, Xavier Alameda-Pineda, Elisa Ricci, Lijun Yin, Jeffrey F. Cohn, Nicu Sebe:
Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions. CVPR 2016: 2396-2404 - [c43]Xavier Alameda-Pineda, Elisa Ricci, Yan Yan, Nicu Sebe:
Recognizing Emotions from Abstract Paintings Using Non-Linear Matrix Completion. CVPR 2016: 5240-5248 - [c42]Dan Xu, Jingkuan Song, Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe:
Multi-Paced Dictionary Learning for cross-domain retrieval and recognition. ICPR 2016: 3228-3233 - [c41]Lorenzo Porzi, Samuel Rota Bulò, Elisa Ricci:
A Deeply-Supervised Deconvolutional Network for Horizon Line Detection. ACM Multimedia 2016: 137-141 - [c40]Dan Xu, Xavier Alameda-Pineda, Jingkuan Song, Elisa Ricci, Nicu Sebe:
Academic Coupled Dictionary Learning for Sketch-based Image Retrieval. ACM Multimedia 2016: 1326-1335 - [c39]Xavier Alameda-Pineda, Timothy M. Hospedales, Elisa Ricci, Nicu Sebe, Xiaogang Wang:
Emerging Topics in Learning from Noisy and Missing Data. ACM Multimedia 2016: 1469-1470 - [r2]Nello Cristianini, Elisa Ricci:
Support Vector Machines. Encyclopedia of Algorithms 2016: 2170-2174 - 2015
- [j16]Gabriele Costante, Thomas A. Ciarfuglia, Paolo Valigi, Elisa Ricci:
Transferring knowledge across robots: A risk sensitive approach. Robotics Auton. Syst. 65: 1-14 (2015) - [j15]Yan Yan, Elisa Ricci, Gaowen Liu, Nicu Sebe:
Egocentric Daily Activity Recognition via Multitask Clustering. IEEE Trans. Image Process. 24(10): 2984-2995 (2015) - [c38]José Guilherme Camargo de Souza, Matteo Negri, Elisa Ricci, Marco Turchi:
Online Multitask Learning for Machine Translation Quality Estimation. ACL (1) 2015: 219-228 - [c37]Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe:
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. BMVC 2015: 8.1-8.12 - [c36]Elisa Ricci, Jagannadan Varadarajan, Ramanathan Subramanian, Samuel Rota Bulò, Narendra Ahuja, Oswald Lanz:
Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos. ICCV 2015: 4660-4668 - [c35]Gaowen Liu, Yan Yan, Elisa Ricci, Yi Yang, Yahong Han, Stefan Winkler, Nicu Sebe:
Inferring Painting Style with Multi-Task Dictionary Learning. IJCAI 2015: 2162-2168 - [c34]Xavier Alameda-Pineda, Yan Yan, Elisa Ricci, Oswald Lanz, Nicu Sebe:
Analyzing Free-standing Conversational Groups: A Multimodal Approach. ACM Multimedia 2015: 5-14 - [c33]Lorenzo Porzi, Samuel Rota Bulò, Bruno Lepri, Elisa Ricci:
Predicting and Understanding Urban Perception with Convolutional Neural Networks. ACM Multimedia 2015: 139-148 - [c32]Ramanathan Subramanian, Jagannadan Varadarajan, Elisa Ricci, Oswald Lanz, Stefan Winkler:
Jointly Estimating Interactions and Head, Body Pose of Interactors from Distant Social Scenes. ACM Multimedia 2015: 835-838 - [i2]Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Ligia Maria Batrinca, Elisa Ricci, Bruno Lepri, Oswald Lanz, Nicu Sebe:
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis. CoRR abs/1506.06882 (2015) - [i1]Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, Nicu Sebe:
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection. CoRR abs/1510.01553 (2015) - 2014
- [j14]Anoop Kolar Rajagopal, Subramanian Ramanathan, Elisa Ricci, Radu L. Vieriu, Oswald Lanz, Kalpathi Ramakrishnan, Nicu Sebe:
Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images. Int. J. Comput. Vis. 109(1-2): 146-167 (2014) - [j13]Thomas A. Ciarfuglia, Gabriele Costante, Paolo Valigi, Elisa Ricci:
Evaluation of non-geometric methods for visual odometry. Robotics Auton. Syst. 62(12): 1717-1730 (2014) - [j12]Yan Yan, Elisa Ricci, Ramanathan Subramanian, Gaowen Liu, Nicu Sebe:
Multitask Linear Discriminant Analysis for View Invariant Action Recognition. IEEE Trans. Image Process. 23(12): 5599-5611 (2014) - [c31]Yan Yan, Elisa Ricci, Gaowen Liu, Nicu Sebe:
Recognizing Daily Activities from First-Person Videos with Multi-task Clustering. ACCV (4) 2014: 522-537 - [c30]Gabriele Costante, Lorenzo Porzi, Oswald Lanz, Paolo Valigi, Elisa Ricci:
Personalizing a smartwatch-based gesture interface with transfer learning. EUSIPCO 2014: 2530-2534 - [c29]Gabriele Costante, Valerio Galieni, Yan Yan, Mario Luca Fravolini, Elisa Ricci, Paolo Valigi:
Exploiting transfer learning for personalized view invariant gesture recognition. ICASSP 2014: 1250-1254 - [c28]Lorenzo Porzi, Samuel Rota Bulò, Paolo Valigi, Oswald Lanz, Elisa Ricci:
Learning Contours for Automatic Annotations of Mountains Pictures on a Smartphone. ICDSC 2014: 13:1-13:6 - [c27]Yan Yan, Elisa Ricci, Negar Rostamzadeh, Nicu Sebe:
It's all about habits: Exploiting multi-task clustering for activities of daily living analysis. ICIP 2014: 1071-1075 - [c26]Gloria Zen, Enver Sangineto, Elisa Ricci, Nicu Sebe:
Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition. ICMI 2014: 128-135 - [c25]Yan Yan, Elisa Ricci, Gaowen Liu, Ramanathan Subramanian, Nicu Sebe:
Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition. ICPR 2014: 3493-3498 - [c24]Gloria Zen, Elisa Ricci, Nicu Sebe:
Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover's Distance. ICPR 2014: 3690-3695 - [c23]Yan Yan, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe:
Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments. ICPR 2014: 4182-4187 - [c22]Gabriele Costante, Enrico Bellocchio, Paolo Valigi, Elisa Ricci:
Personalizing vision-based gestural interfaces for HRI with UAVs: a transfer learning approach. IROS 2014: 3319-3326 - [c21]Mojtaba Khomami Abadi, Azad Abad, Ramanathan Subramanian, Negar Rostamzadeh, Elisa Ricci, Jagannadan Varadarajan, Nicu Sebe:
A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations. CrowdMM 2014: 17-23 - [c20]Enver Sangineto, Gloria Zen, Elisa Ricci, Nicu Sebe:
We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer. ACM Multimedia 2014: 357-366 - 2013
- [j11]Lucia Bissi, Giuseppe Baruffa, Pisana Placidi, Elisa Ricci, Andrea Scorzoni, Paolo Valigi:
Automated defect detection in uniform and structured fabrics using Gabor filters and PCA. J. Vis. Commun. Image Represent. 24(7): 838-845 (2013) - [j10]Elisa Ricci, Gloria Zen, Nicu Sebe, Stefano Messelodi:
A Prototype Learning Framework Using EMD: Application to Complex Scenes Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 513-526 (2013) - [c19]Yan Yan, Elisa Ricci, Subramanian Ramanathan, Oswald Lanz, Nicu Sebe:
No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion. ICCV 2013: 1177-1184 - [c18]Yan Yan, Gaowen Liu, Elisa Ricci, Nicu Sebe:
Multi-task linear discriminant analysis for multi-view action recognition. ICIP 2013: 2842-2846 - [c17]Gabriele Costante, Thomas A. Ciarfuglia, Paolo Valigi, Elisa Ricci:
A transfer learning approach for multi-cue semantic place recognition. IROS 2013: 2122-2129 - [c16]Lorenzo Porzi, Stefano Messelodi, Carla Maria Modena, Elisa Ricci:
A smart watch-based gesture recognition system for assisting people with visual impairments. IMMPD@ACM Multimedia 2013: 19-24 - 2012
- [c15]Anoop Kolar Rajagopal, Subramanian Ramanathan, Radu L. Vieriu, Elisa Ricci, Oswald Lanz, Kalpathi Ramakrishnan, Nicu Sebe:
An Adaptation Framework for Head-Pose Classification in Dynamic Multi-view Scenarios. ACCV (2) 2012: 652-666 - [c14]Gloria Zen, Elisa Ricci, Nicu Sebe:
Exploiting Sparse Representations for Robust Analysis of Noisy Complex Video Scenes. ECCV (6) 2012: 199-213 - [c13]Radu L. Vieriu, Anoop Kolar Rajagopal, Subramanian Ramanathan, Oswald Lanz, Elisa Ricci, Nicu Sebe, Kalpathi Ramakrishnan:
Boosting-based transfer learning for multi-view head-pose classification from surveillance videos. EUSIPCO 2012: 649-653 - [c12]Gloria Zen, Negar Rostamzadeh, Jacopo Staiano, Elisa Ricci, Nicu Sebe:
Enhanced semantic descriptors for functional scene categorization. ICPR 2012: 1985-1988 - [c11]Michela Tiribuzi, Marco Pastorelli, Paolo Valigi, Elisa Ricci:
A Multiple Kernel Learning framework for detecting altered fingerprints. ICPR 2012: 3402-3405 - [c10]Thomas A. Ciarfuglia, Gabriele Costante, Paolo Valigi, Elisa Ricci:
A discriminative approach for appearance based loop closing. IROS 2012: 3837-3843 - 2011
- [c9]Gloria Zen, Elisa Ricci:
Earth mover's prototypes: A convex learning approach for discovering activity patterns in dynamic scenes. CVPR 2011: 3225-3232 - [c8]Gloria Zen, Elisa Ricci, Stefano Messelodi, Nicu Sebe:
Sorting Atomic Activities for Discovering Spatio-temporal Patterns in Dynamic Scenes. ICIAP (1) 2011: 207-216 - 2010
- [c7]Elisa Ricci, Francesco Tobia, Gloria Zen:
Learning Pedestrian Trajectories with Kernels. ICPR 2010: 149-152 - [c6]Gloria Zen, Oswald Lanz, Stefano Messelodi, Elisa Ricci:
Tracking Multiple People with Illumination Maps. ICPR 2010: 3484-3487 - [c5]Gloria Zen, Bruno Lepri, Elisa Ricci, Oswald Lanz:
Space speaks: towards socially and personality aware visual surveillance. MPVA@MM 2010: 37-42
2000 – 2009
- 2009
- [c4]Stefan Duffner, Jean-Marc Odobez, Elisa Ricci:
Dynamic Partitioned Sampling For Tracking With Discriminative Features. BMVC 2009: 1-11 - [c3]Elisa Ricci, Jean-Marc Odobez:
Learning large margin likelihoods for realtime head pose tracking. ICIP 2009: 2593-2596 - 2008
- [j9]Renzo Perfetti, Elisa Ricci:
Recurrent Correlation Associative Memories: A Feature Space Perspective. IEEE Trans. Neural Networks 19(2): 333-345 (2008) - [p1]Elisa Ricci, Renzo Perfetti:
Large Margin Methods for Structured Output Prediction. Computational Intelligence Paradigms 2008: 109-132 - [r1]Nello Cristianini, Elisa Ricci:
Support Vector Machines. Encyclopedia of Algorithms 2008 - 2007
- [j8]Renzo Perfetti, Elisa Ricci, Daniele Casali, Giovanni Costantini:
Cellular Neural Networks With Virtual Template Expansion for Retinal Vessel Segmentation. IEEE Trans. Circuits Syst. II Express Briefs 54-II(2): 141-145 (2007) - [j7]Elisa Ricci, Renzo Perfetti:
Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification. IEEE Trans. Medical Imaging 26(10): 1357-1365 (2007) - [c2]Elisa Ricci, Tijl De Bie, Nello Cristianini:
Discriminative Sequence Labeling by Z-Score Optimization. ECML 2007: 274-285 - [c1]Elisa Ricci, Tijl De Bie, Nello Cristianini:
Learning to Align: A Statistical Approach. IDA 2007: 25-36 - 2006
- [j6]Elisa Ricci, Luca Rugini, Renzo Perfetti:
SVM-based CDMA receiver with incremental active learning. Neurocomputing 69(13-15): 1691-1696 (2006) - [j5]Elisa Ricci, Renzo Perfetti:
Improved pruning strategy for radial basis function networks with dynamic decay adjustment. Neurocomputing 69(13-15): 1728-1732 (2006) - [j4]Renzo Perfetti, Elisa Ricci:
Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment. Neurocomputing 69(16-18): 2446-2450 (2006) - [j3]Renzo Perfetti, Elisa Ricci:
Analog neural network for support vector machine learning. IEEE Trans. Neural Networks 17(4): 1085-1091 (2006) - [j2]Daniele Casali, Giovanni Costantini, Renzo Perfetti, Elisa Ricci:
Associative Memory Design Using Support Vector Machines. IEEE Trans. Neural Networks 17(5): 1165-1174 (2006) - 2004
- [j1]Mauro Ciappa, Maria Stangoni, Wolfgang Fichtner, Elisa Ricci, Andrea Scorzoni:
On the Use of Neural Networks to Solve the Reverse Modelling Problem for the Quantification of Dopant Profiles Extracted by Scanning Probe Microscopy Techniques. Microelectron. Reliab. 44(9-11): 1703-1708 (2004)
Coauthor Index
Subramanian Ramanathan
aka: Ramanathan Subramanian
aka: Ramanathan Subramanian
[i106] [j47] [j46] [j44] [c106] [i99] [i90] [i87] [i82] [j41] [j40] [c103] [c100] [c98] [c97] [c96] [c93] [c91] [i74] [i73] [i72] [i70] [i69] [i66] [i64] [j37] [c90] [c88] [c83] [i61] [i57] [i54] [i53] [i52] [i51] [i48] [i47] [j34] [j32] [j29] [c81] [c80] [c71] [i43] [i42] [i41] [i34] [j28] [j27] [c68] [c66] [c65] [c64] [c61] [e2] [e1] [i31] [i30] [i27] [i26] [i24] [j24] [c60] [c59] [c57] [c56] [p4] [i22] [i21] [i20] [i19] [i18] [i12] [i11] [i10] [j23] [c52] [c51] [c50] [c46] [c45] [p3] [p2] [i7] [i6] [i5] [i4] [j19] [j18] [j17] [c44] [c43] [c42] [c40] [c39] [j15] [c37] [c35] [c34] [i2] [i1] [j14] [j12] [c31] [c27] [c26] [c25] [c24] [c23] [c21] [c20] [j10] [c19] [c18] [c15] [c14] [c13] [c12] [c8]
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