TeV's publications

2021

Journals

  • M. Bortolon and F. Poiesi. An open-source mobile-based system for synchronised multi-view capture and dynamic object reconstruction. Software Impact, 9, 2021.

  • M. Bortolon, L. Bazzanella, F. Poiesi. Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles. Journal of Real-Time Image Processing, Springer, vol. 18, pp. 345-355, 2021.

  • P. Lecca, M. Lecca, C.A. Maestri, and M. Scarpa. Biexponential fitting for noisy data with error propagation. Mathematical Methods in the Applied Sciences, 2021

  • M. Lecca, A. Rizzi, and R.P. Serapioni. An Image Contrast Measure Based on Retinex Principles. IEEE Transactions on Image Processing, 30:3543--3554, 2021

  • X. Qian, A. Brutti, O. Lanz, M. Omologo, and A. Cavallaro. Audio-visual tracking of concurrent speakers. IEEE Transactions on Multimedia, 2021

  • S. Sudhakaran, S. Escalera, and O. Lanz. Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021

  • M. Lecca. Machine colour constancy: a work in progress. Coloration Technology, 137(1):72--77, 2021.

Conferences

  • A. Simonelli, S. Rota Buló, L. Porzi, P. Kontschieder, and E. Ricci. Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? In International Conference on Computer Vision - ICCV, pages 3225--3233, October 2021

  • M. Lecca. A Retinex inspired bilateral filter for enhancing images under difficult light conditions. In 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, pages 76--86, Vienna, Austria, February 2021. Oral.

  • D. Boscaini, F. Poiesi, S. Messelodi, and D.A. Grande A. Younes. Localisation of defects in volumetric Computed Tomography scans of valuable wood logs. In 1st International Workshop on Industrial Machine Learning - ICPR, Milano, Italy, January 2021. Oral.

  • A. Alliegro, D. Boscaini, and T. Tommasi. Joint Supervised and Self-Supervised Learning for 3D Real World Challenges. In 25th International Conference on Pattern Recognition - ICPR, Milano, Italy, January 2021. Oral.

  • L.O. Vasconcelos, M. Mancini, D. Boscaini, B. Caputo, and E. Ricci. Shape Consistent 2D Keypoint Estimation under Domain Shift. In 25th International Conference on Pattern Recognition - ICPR, Milano, Italy, January 2021.

  • F. Poiesi and D. Boscaini. Distinctive 3D Local Deep Descriptors. In 25th International Conference on Pattern Recognition - ICPR, Milano, Italy, January 2021.

2020

Journals

  • A. Simonelli, S. Rota Buló, L. Porzi, M. Lopez-Antequera, and P. Kontschieder. Disentangling monocular 3d object detection: From single to multi-class recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

  • M. Lecca, A. Torresani, and F. Remondino. Comprehensive evaluation of image enhancement for unsupervised image description and matching. IET Image Processing, 2020

  • Y. Zou, M. Gottardi, M. Lecca, and M. Perenzoni. A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications. IEEE Journal of Solid-State Circuits, 2020

  • M. Lecca. Generalized Equation for Real-World ImageEnhancement by Milano Retinex Family. Journal of the Optical Society of America A - Optics Image Science and Vision, 37(5):849--858, 2020

  • P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M.M. Bronstein, and B.E. Correia. Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning. Nature Methods, 17:184--192, 2020

  • A. Xompero, O. Lanz, and A. Cavallaro. A spatio-temporal multi-scale binary descriptor. IEEE Transactions on Image Processing, 29:4362--4375, 2020

  • B.R. Barricelli, E. Casiraghi, M. Lecca, A. Plutino, and A. Rizzi. A cockpit of multiple measures for assessing film restoration quality. Pattern Recognition Letters, 131:178--184, 2020

  • C. Bonanomi, S. Balletti, M. Lecca, M. Anisetti, A. Rizzi, and E. Damiani. I3D: a new dataset for testing denoising and demosaicing algorithms. Multimedia Tools and Applications, 79:8599--8626, 2020

Conferences

  • M.I. Lakhal, D. Boscaini, F. Poiesi, O. Lanz, and A. Cavallaro. Novel-View Human Action Synthesis. In 15th Asian Conference on Computer Vision - ACCV, Kyoto, December 2020

  • P. Lecca, M. Lecca, P. Melotti, V. Lotti, S. Preato, K. Kleinfelder, A. Farinazzo, and C. Sorio. Computing organoids' volume in medical images: the case study of cystic fibrosis. In IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology - CIBCB, pages 1--8, October 2020

  • P. Astolfi, R. Verhangen, L. Petit, E. Olivetti, J. Masci, D. Boscaini, and P. Avesani. Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. In International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI, pages 291--301, Lima, Peru, October 2020

  • J. Svoboda, P. Astolfi, D. Boscaini, J. Masci, and M. Bronstein. Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition. In IEEE/IAPR International Joint Conference on Biometrics - IJCB, Houston, TX, USA, September 2020.

  • A. Plutino, G. Simone and M. Lecca. What Color for Technology in Italy. In Colour and Colorimetry. Multidisciplinary Contributions - XVI Conferenza del Colore, volume XVIB, pages 232--239, Bergamo, Italy, September 2020.

  • A. Simonelli, S. Rota Buló, L. Porzi, E. Ricci, and P. Kontschieder. Towards generalization across depth for monocular 3d object detection. In European Conference on Computer Vision - ECCV, pages 767--782, Glasgow, UK, August 2020

  • O. Lanz, F. Sottsas, M. Conni, M. Boschetti, E. Nocerino, F. Menna, and F. Remondino. A versatile multi-camera system for 3D acquisition and modeling. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science - XXIV ISPRS Congress, volume XLIII-B2-2020, pages 785--790, 2020.

  • S. Sudhakaran, S. Escalera, and O. Lanz. Gate-Shift Networks for Video Action Recognition. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 1102--1111, Seattle, WA, USA, June 2020.

  • F. Cermelli, M. Mancini, S. Rota Buló, E. Ricci, and B. Caputo. Modeling the Background for Incremental Learning in Semantic Segmentation. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 9233--9242, Seattle, WA, USA, June 2020

  • M. Bortolon, P. Chippendale, S. Messelodi, and F. Poiesi. Multi-view data capture using edge-synchronised mobiles. In 15th International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, pages 730--740, La Valletta, Malta, February 2020

  • A. Alliegro, D. Boscaini, and T. Tommasi. Self-Supervision for 3D Real-World Challenges. In European Conference on Computer Vision Workshops - ECCVW, pages 704--708, January 2020

2019

Journals

  • D. Xu, E. Ricci, W. Ouyang, X. Wang, and N. Sebe. Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(6):1426--1440, 2019

  • A. Siarohin, G. Zen, C. Majtanovic, X. Alameda-Pineda, E. Ricci, and N. Sebe. Increasing Image Memorability with Neural Style Transfer. ACM Transactions on Multimedia Computing, Communications, and Applications, 15(2):41:1--41:22, 2019.

  • M. Lecca and S. Messelodi. SuPeR: Milano Retinex implementation exploiting a regular image grid. Journal of the Optical Society of America A - Optics Image Science and Vision, 36(8):1423--1432, 2019.

  • M. Gottardi and M. Lecca. A 64 ×64 Pixel Vision Sensor for Local Binary Pattern Computation. IEEE Transactions on Circuits and Systems I-Regular Papers, pages 1--9, 2019.

  • X. Qian, A. Brutti, O. Lanz, M. Omologo, and A. Cavallaro. Multi-speaker tracking from an audio-visual sensing device. IEEE Transactions on Multimedia, 21(10):2576--2588, 2019.

  • M. Mancini, L. Porzi, S. Rota Bulò, B. Caputo, and E. Ricci. Inferring Latent Domains for Unsupervised Deep Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.

  • S. Sudhakaran and O. Lanz. Top-down attention recurrent VLAD encoding for action recognition in videos. Intelligenza Artificiale, 13(1):107--118, 2019

Conferences

  • A. Cimatti, S. Messelodi, A. Micheli, M. Roveri, and E. Scala. Planning, Scheduling e Percezione per Flexible Manufacturing. In Ital-IA, Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, Italy, March 2019

  • F. Poiesi, P. Chippendale, and S. Messelodi. RE4CH: REPLICATE for Cultural Heritage . In Ital-IA, Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, Italy, March 2019

  • C. Carlevaro, R. Larcher, S. Messelodi, and A. Simonelli. SpinRetail: IA al Servizio del Retail . In Ital-IA, Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, Italy, March 2019.

  • O. Lanz and S. Messelodi. Una architettura neurale con meccanismi di attenzione per la descrizione di video. In Ital-IA, Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, Italy, March 2019.

  • M. Sgrò, S. Marcon, V. Ropele, S. Messelodi, and C.M. Modena. EYESON Tennis: sistema per l'analisi del gioco in tempo reale. In Ital-IA, Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, Italy, March 2019.

  • E. Ricci, E. Sangineto, N. Sebe, and G. Zen. L'Intelligenza Artificiale per la valorizzazione dei beni culturali e naturalistici: un'analisi del contentuto emozionale. In Ital-IA, Convegno Nazionale CINI sull'Intelligenza Artificiale, Roma, Italy, March 2019.

  • M. Mancini, H. Karaoguz, E. Ricci, P. Jensfelt, and B. Caputo. Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition. In International Conference on Robotics and Automation - ICRA 2019, pages 9537--9543, Montreal, Canada, May 2019.

  • O. Lanz, A. Brutti, A. Xompero, X. Qian, M. Omologo, and A. Cavallaro. Accurate Target Annotation in 3D from Multimodal Streams. In IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP, Brighton, UK, May 2019.

  • S. Sudhakaran, S. Escalera, and O. Lanz. LSTA: Long Short-Term Attention for Egocentric Action Recognition. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 9954--9963, Long Beach, CA, USA, June 2019.

  • M. Mancini, S. Rota Bulø', B. Caputo, and E. Ricci. AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 6561--6570, Long Beach, CA, USA, June 2019.

  • A. Pilzer, S. Lathuiliere, N. Sebe, and E. Ricci. Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 9760--9769, Long Beach, CA, USA, June 2019. P

  • S. Roy, A. Siarohin, E. Sangineto, S. Rota Buló, N. Sebe, and E. Ricci. Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 9463--9472, Long Beach, CA, USA, June 2019.

  • A. Siarohin, S. Lathuiliere, S. Tulyakov, E. Ricci, and N. Sebe. Animating Arbitrary Objects via Deep Motion Transfer. In IEEE Conference on Computer Vision and Pattern Recognition - CVPR, pages 2372--2381, Long Beach, CA, USA, June 2019.

  • S. Sudhakaran and O. Lanz. An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective. In Mutual benefits of cognitive and computer vision - CVPR Workshop, Long Beach, CA, USA, June 2019.

  • Y. Zou, M. Lecca, M. Gottardi, G. Urlini, N. Vretos, L. Gymnopoulos, and P. Daras. A battery powered vision sensor for forensic evidence gathering. In 13th International Conference on Distributed Smart Cameras - ICDSC, pages 15:1--15:6, Trento, Italy, September 2019.

  • S. Messelodi, C.M. Modena, V. Ropele, and S. Marcon ans M. Sgrø`. A Low-Cost Computer Vision System for Real_time Tennis Analysis. In 20th International Conference on Image Analysis and Processing - ICIAP, volume 11751 of LNCS, pages 106--116, Trento, Italy, September 2019.

  • D. Boscaini and F. Poiesi. 3D Shape Segmentation with Geometric Deep Learning. In 20th International Conference on Image Analysis and Processing - ICIAP, volume 11751 of LNCS, pages 454--465, Trento, Italy, September 2019.

  • C. Saltori, S. Roy, N. Sebe, and G. Iacca. Regularized Evolutionary Algorithm for Dynamic Neural Topology Search. In 20th International Conference on Image Analysis and Processing - ICIAP, volume 11751 of LNCS, pages 219--230, Trento, Italy, September 2019.

  • M. Lecca, A. Torresani, and F. Remondino. On Image Enhancement for Unsupervised Image Description and Matching. In E. Ricci, S. Rota Bulò, C. Snoek, O. Lanz, S. Messelodi, and N. Sebe, editors, 20th International Conference on Image Analysis and Processing - ICIAP, volume 11752 of LNCS, pages 82--92, Trento, Italy, September 2019.

  • A. Plutino, M. Lecca, and A. Rizzi. A Cockpit of Measures for Image Quality Assessment in Digital Film Restoration. In C. Crostani, A. Prati, O. Lanz, S. Messelodi, and N. Sebe, editors, New Trends in Image Analysis and Processing -- ICIAP 2019, volume 11808 of LNCS, pages 159--169, Trento, Italy, September 2019.

  • M. Lecca. A Gradient-Based Spatial Color Algorithm for Image Contrast Enhancement. In E. Ricci, S. Rota Bulò, C. Snoek, O. Lanz, S. Messelodi, and N. Sebe, editors, 20th International Conference on Image Analysis and Processing - ICIAP, volume 11752 of LNCS, pages 93--103, Trento, Italy, September 2019.

  • M. Mancini, L. Porzi, F. Cermelli, and B. Caputo. Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency. In 20th International Conference on Image Analysis and Processing - ICIAP, volume 11752 of LNCS, pages 390--401, Trento, Italy, September 2019.

  • S. Saha, S. Sudhakaran, B. Banerjee, and S. Pendurkar. Semantic Guided Deep Unsupervised Image Segmentation. In 20th International Conference on Image Analysis and Processing - ICIAP, volume 11752 of LNCS, pages 499--510, Trento, Italy, September 2019.

  • S. Roy, A. Siarohin, and N. Sebe. Unsupervised Domain Adaptation Using Full-Feature Whitening and Colouring. In 20th International Conference on Image Analysis and Processing - ICIAP, volume 11752 of LNCS, pages 225--–236, Trento, Italy, September 2019.

  • M.I. Lakhal, O. Lanz, and A. Cavallaro. Learnable masks for pose-guided view synthesis. In 26th International Conference on Image Processing - ICIP, pages 1775--1779, Taipei, Taiwan, September 2019.

  • L.O. Vasconcelos, M. Mancini, D. Boscaini, B. Caputo, and E. Ricci. Stuctured Domain Adaptation for 3D Keypoint Estimation. In International Conference on 3D Vision - 3DV, pages 57--66, Quebec City, Canada, September 2019.

  • A. Simonelli, S. Rota Buló, L. Porzi, M. Lopez-Antequera, and P. Kontschieder. Disentangling Monocular 3D Object Detection. In International Conference on Computer Vision - ICCV, pages 1991--1999, Seoul, Korea, October 2019.

  • R. Berriel, S. Lathuilière, M. Nabi, T. Klein, T. Oliveira-Santos, N. Sebe, and E. Ricci. Budget-aware adapter for multi-domain learning. In International Conference on Computer Vision - ICCV, pages 382--391, Seoul, Korea, October 2019.

  • M.I. Lakhal, O. Lanz, and A. Cavallaro. View-LSTM: Novel-View Video Synthesis Through View Decomposition. In International Conference on Computer Vision - ICCV, pages 7577--7587, Seoul, Korea, October 2019. P

  • O. Lanz. Leveraging Spatial Attention and Gating forFine-grained Action Recognition. In International Conference on Computer Vision - ICCV, pages 7577--7587, Seoul, Korea, October 2019. Invited Talk.

  • F. Cermelli, M. Mancini, E. Ricci, and B. Caputo. The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems - IROS, Macau, China, November 2019.

  • P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M.M. Bronstein, and B.E. Correia. Learning interaction patterns from surface representations of protein structure. In 33rd Conference on Neural Information Processing Systems - NeurIPS- Graph Representation Learning Workshop, Vancouver, Canada, December 2019.

  • A. Siarohin, S. Lathuillere, S. Tulyakov, E. Ricci, and N. Sebe. First Order Motion Model for Image Animation. In 33rd Conference on Neural Information Processing Systems - NeurIPS, Vancouver, Canada, December 2019.