Publications – Elisa Ricci

2023

G. Yang, E. Fini, D. Xu, P. Rota, M. Ding, M. Nabi, X. Alameda-Pineda, E. Ricci. Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2567-2581, 2023.
C. Saltori, F. Galasso, G. Fiameni, N. Sebe, F. Poiesi, E. Ricci. Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation, IEEE Trans. Pattern Anal. Mach. Intell. 2023.
G. Yang, E. Fini, D. Xu, P. Rota, M. Ding, H. Tang, X. Alameda-Pineda, E. Ricci: Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multimedia, 2023.
E. Peruzzo, W. Menapace, V. Goel, F. Arrigoni, H. Tang, X. Xu, A. Chopikyan, N. Orlov, Y. Hu, H. Shi, E. Ricci, Interactive Neural Painting, Computer Vision and Image Understanding, 235, 103778, 2023
S. Bose, E. Fini, A. Jha, M. Singha, B. Banerjee, E. Ricci, StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
G.K. Tejus, G. Zara, P. Rota, A. Fusiello, E. Ricci, F. Arrigoni, Rotation Synchronization via Deep Matrix Factorization. International Conference on Robotics and Automation (ICRA) 2023.
G. Mattolin, L. Zanella, E. Ricci, Y. Wang: ConfMix, Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
G. Mei, F. Poiesi, C. Saltori, J. Zhang, E. Ricci, N. Sebe, Overlap-guided Gaussian Mixture Models for Point Cloud Registration. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
Y. Zhang, S. Roy, H. Lu, E. Ricci, S. Lathuilière, Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
L. Riz, C. Saltori, E. Ricci, F. Poiesi: Novel Class Discovery for 3D Point Cloud Semantic Segmentation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Z. Kang, E. Fini, M. Nabi, E. Ricci, K. Alahari, A soft nearest-neighbor framework for continual semi-supervised learning. International Conference on Computer Vision (ICCV) 2023.
M. Farina, L. Magri, W. Menapace, E. Ricci, V. Golyanik, F. Arrigoni, Quantum Multi-Model Fitting, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
G. Zara, S. Roy, P. Rota, E. Ricci, AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
A. Osman Tur, N. Dall’Asen, C. Beyan, E. Ricci: Exploring Diffusion Models for Unsupervised Video Anomaly Detection. International Conference on Image Processing (ICIP), 2023.
C. Saltori, A. Osep, E. Ricci, L. Leal-Taixé: Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. International Conference on Computer Vision (ICCV) 2023.
E. Fini, P. Astolfi, K. Alahari, X. Alameda-Pineda, J. Mairal, M. Nabi, E. Ricci: Semi-supervised learning made simple with self-supervised clustering. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
A. Osman Tur, N. Dall’Asen, C. Beyan, E. Ricci: Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations. International Conference on Image Analysis and Processing (ICIAP), 2023.
F. Tonini, N. Dall’Asen, C. Beyan, E. Ricci, Object-aware Gaze Target Detection. International Conference on Computer Vision (ICCV) 2023.
G. Zara, A. Conti, S. Roy, S. Lathuilière, P. Rota, E. Ricci: The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation. International Conference on Computer Vision (ICCV) 2023.
T. De Min, M. Mancini, K. Alahari, X. Alameda-Pineda, E. Ricci, On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers, Workshop on Visual Continual Learning, in conjunction with ICCV, 2023.

2022

F. Arrigoni, E. Ricci, T. Pajdla. Multi-frame Motion Segmentation by Combining Two-Frame Results. Int. J. Comput. Vis. 130(3): 696-728 2022.
V.G. Turrisi da Costa, E. Fini, M. Nabi, N. Sebe, E. Ricci: solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. 23: 56:1-56:6, 2022.
D. Xu, X. Alameda-Pineda, W. Ouyang, E. Ricci, X. Wang, N. Sebe: Probabilistic Graph Attention Network With Conditional Kernels for Pixel-Wise Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2673-2688, 2022.
F. Cermelli, M. Mancini, S. Rota Bulò, E. Ricci, B. Caputo: Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10099-10113, 2022.
F. Arrigoni, A. Fusiello, R. Rizzi, E. Ricci, T. Pajdla, Revisiting Viewing Graph Solvability: an Effective Approach Based on Cycle Consistency, IEEE Trans. Pattern Anal. Mach. Intell. 2022
X. Yang, L. Zheng, E. Ricci, M. 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.
A. Conti, P. Rota, Y. Wang, E. Ricci: Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition. British Machine Vision Conference 2022.
G. Mei, C. Saltori, F. Poiesi, J. Zhang, E. Ricci, N. Sebe, Q. Wu. Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding. British Machine Vision Conference 2022.
W. Menapace, S. Lathuilière, A. Siarohin, C. Theobalt, S. Tulyakov, V. Golyanik, E. Ricci. Playable Environments: Video Manipulation in Space and Time. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2022
E. Fini, V. G. Turrisi da Costa, X. Alameda-Pineda, E. Ricci, K. Alahari, J. Mairal: Self-Supervised Models are Continual Learners. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022
S. Roy, M. Liu, Z. Zhong, N. Sebe, E. Ricci, Class-Incremental Novel Class Discovery. European Conference on Computer Vision (ECCV), 2022.
F. Arrigoni, W. Menapace, M. Seelbach Benkner, E. Ricci, V. Golyanik, Quantum Motion Segmentation. European Conference on Computer Vision (ECCV) 2022
S. Roy, M. Trapp, A. Pilzer, J. Kannala, N. Sebe , E. Ricci, A. Solin, Uncertainty-Guided Source-Free Domain Adaptation. European Conference on Computer Vision (ECCV) 2022
C. Saltori, E. Krivosheev, S. Lathuilière, N. Sebe, F. Galasso, G. Fiameni, E. Ricci, Fabio Poiesi, GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. European Conference on Computer Vision (ECCV), 2022.
C. Saltori, F. Galasso, G. Fiameni, N. Sebe, E. Ricci, F. Poiesi, CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. European Conference on Computer Vision (ECCV), 2022.
N. Dall’Asen, Y. Wang, H. Tang, L. Zanella, E. Ricci, Graph-Based Generative Face Anonymisation with Pose Preservation. International Conference on Image Analysis and Processing (ICIAP), 2022
F. Tonini, C. Beyan, E. Ricci, Multimodal Across Domains Gaze Target Detection. International Conference on Multimodal Interaction (ICMI) 2022.
V. G. Turrisi da Costa, G. Zara, P. Rota, T. Oliveira-Santos, N. Sebe, V. Murino, E. Ricci, Unsupervised Domain Adaptation for Video Transformers in Action Recognition. International Conference on Pattern Recognition (ICPR) 2022.
R. Franceschini, E. Fini, C. Beyan, A. Conti, F. Arrigoni, E. Ricci, Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. International Conference on Pattern Recognition (ICPR) 2022.
V. G. Turrisi da Costa, G. Zara, P. Rota, T. Oliveira-Santos, N. Sebe, V. Murino, E. Ricci, Dual-Head Contrastive Domain Adaptation for Video Action Recognition. Winter Conference on Applications of Computer Vision (WACV), 2022

2021

M. Mancini, L. Porzi, S. Rota Bulò, B. Caputo, E. Ricci. Inferring Latent Domains for Unsupervised Deep Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 485-498, 2021.
S. Roy, A. Siarohin, E. Sangineto, N. Sebe, E. Ricci. TriGAN: image-to-image translation for multi-source domain adaptation. Mach. Vis. Appl. 32(1): 41, 2021.
D. Xu, X. Alameda-Pineda, W. Ouyang, E. Ricci, X. Wang, N. Sebe, Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. IEEE Trans. Pattern Anal. Mach. Intell. , 2021.
A. Simonelli, S. Rota Bulò, L. Porzi, P. Kontschieder, E. Ricci. Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? ICCV 2021
F. Arrigoni, A. Fusiello, E. Ricci, T. Pajdla. Viewing Graph Solvability via Cycle Consistency. International Conference on Computer Vision (ICCV) 2021 –Best paper award honorable mention.
E. Fini, E. Sangineto, S. Lathuilière, Z. Zhong, M. Nabi, E. Ricci.A Unified Objective for Novel Class Discovery. International Conference on Computer Vision (ICCV) 2021
P. Ardino, M. De Nadai, B. Lepri, E. Ricci, S. Lathuilière. Click to Move: Controlling Video Generation with Sparse Motion. International Conference on Computer Vision (ICCV) 2021
G. Yang, H. Tang, M. Ding, N. Sebe, E. Ricci. Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. International Conference on Computer Vision (ICCV) 2021
V. Nguyen, M. Sadeghi, E. Ricci, X. Alameda-Pineda, Deep Variational Generative Models for Audio-Visual Speech Separation. Workshop on Machine Learning for Signal Processing (MLSP) 2021
W. Menapace, S. Lathuilière, S. Tulyakov, A. Siarohin, E. Ricci, Playable Video Generation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2021.
S. Roy, E. Krivosheev, Z. Zhong, N. Sebe, E. Ricci, Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Z. Zhong, E. Fini, S. Roy, Z. Luo, E. Ricci, N. Sebe, Neighborhood Contrastive Learning for Novel Class Discovery, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2021.
T. Nguyen, S. Lathuilière, E.Ricci, Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. International Conference on Pattern Recognition (ICPR), 2021.
L. O. Vasconcelos, M. Mancini, D. Boscaini, S. Rota Bulò, B. Caputo, E. Ricci, Shape Consistent 2D Keypoint Estimation under Domain Shift. International Conference on Pattern Recognition (ICPR), 2021.
P. Ardino, Y. Liu, E. Ricci, B. Lepri, M. De Nadai, Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation. International Conference on Pattern Recognition (ICPR), 2021.
A. Siarohin, S. Roy, S. Lathuilière, S. Tulyakov, E. Ricci, N. Sebe, Motion-supervised Co-Part Segmentation. International Conference on Pattern Recognition (ICPR), 2021.

2020

S. Roy et al. Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound, IEEE Transaction on Medical Imaging, 2020.
M. Mancini, L. Porzi, B. Caputo, E. Ricci, S. Rota Bulò, Boosting Binary Masks for Multi-Domain Learning through Affine Transformations, Machine Vision and Applications, 2020.
F.M. Carlucci, L Porzi, B Caputo, E Ricci, SR Bulo, MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
S. Cascianelli, G.Costante, F.Crocetti, E.Ricci, P.Valigi, M.Fravolini, Data-based design of robust fault detection and isolation residuals via LASSO optimization and Bayesian filtering, Asian Journal Of Control, 2020.
D. Fontanel, F. Cermelli, M. Mancini, S. Rota Bulò, E. Ricci, B. Caputo, Boosting Deep Open World Recognition by Clustering. IEEE Robotics and Automation Letters, 2020.
X. Alameda-Pineda, E. Ricci, A. Salah, N. Sebe, S. Yan. Special Issue on Generating Realistic Visual Data of Human Behavior. International Journal Computer Vision 128(5): 1376-1377, 2020.
W Wang, X Alameda-Pineda, D Xu, E Ricci, N Sebe. Learning How to Smile: Expression Video Generation with Conditional Adversarial Recurrent Nets, IEEE Transactions on Multimedia, 2020.
E. Fini, S. Lathuilière, E. Sangineto, M. Nabi, E. Ricci, Online Continual Learning under Extreme Memory Constraints. European Conference on Computer Vision (ECCV), 2020.
W. Menapace, S. Lathuilière, E. Ricci, Learning to Cluster under Domain Shift, European Conference on Computer Vision (ECCV), 2020.
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder, Towards Generalization Across Depth for Monocular 3D Object Detection, European Conference on Computer Vision (ECCV), 2020.
M. Mancini, Z. Akata, E. Ricci, B. Caputo, Towards Recognizing Unseen Categories in Unseen Domains. European Conference on Computer Vision (ECCV), 2020.
D. Fontanel, F. Cermelli, M. Mancini, S. Rota Bulò, E. Ricci, B. Caputo, Boosting Deep Open World Recognition by Clustering. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
F. Cermelli, M. Mancini, S. Rota Bulò, E. Ricci, B. Caputo, Modeling the Background for Incremental Learning in Semantic Segmentation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Z. Zhang, S. Lathuilière, A. Pilzer, N. Sebe, E. Ricci, J. Yang, Online Adaptation through Meta-Learning for Stereo Depth Estimation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

See Google Scholar profile for a complete list of publications.