Lorenzo Porzi

Orcid: 0000-0001-9331-2908

Affiliations:
  • Fondazione Bruno Kessler, Trento, Italy


According to our database1, Lorenzo Porzi authored at least 42 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields.
ACM Trans. Graph., December, 2023

HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces.
CoRR, 2023

VR-NeRF: High-Fidelity Virtualized Walkable Spaces.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Panoptic Lifting for 3D Scene Understanding with Neural Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DiffRF: Rendering-Guided 3D Radiance Field Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

AutoRF: Learning 3D Object Radiance Fields from Single View Observations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Inferring Latent Domains for Unsupervised Deep Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

MultiDIAL: Domain Alignment Layers for (Multisource) Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Weakly Supervised Multi-Object Tracking and Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Panoptic Segmentation at All Scales.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection.
CoRR, 2020

Towards Generalization Across Depth for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Improving Optical Flow on a Pyramid Level.
Proceedings of the Computer Vision - ECCV 2020, 2020

The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multi-Object Tracking and Segmentation From Automatic Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The Five Elements of Flow.
CoRR, 2019

Single-Stage Monocular 3D Object Detection with Virtual Cameras.
CoRR, 2019

Traffic Sign Detection and Classification around the World.
CoRR, 2019

Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Disentangling Monocular 3D Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Seamless Scene Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Domain Adaptation by Discovering Latent Domains.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning Depth-Aware Deep Representations for Robotic Perception.
IEEE Robotics Autom. Lett., 2017

An automatic image-to-DEM alignment approach for annotating mountains pictures on a smartphone.
Mach. Vis. Appl., 2017

3D CNNs on Distance Matrices for Human Action Recognition.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

AutoDIAL: Automatic Domain Alignment Layers.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Learning Personalized Models for Facial Expression Analysis and Gesture Recognition.
IEEE Trans. Multim., 2016

A Deeply-Supervised Deconvolutional Network for Horizon Line Detection.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Dropout distillation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Predicting and Understanding Urban Perception with Convolutional Neural Networks.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

i-Street: Detection, Identification, Augmentation of Street Plates in a Touristic Mobile Application.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Matchability Prediction for Full-Search Template Matching Algorithms.
Proceedings of the 2015 International Conference on 3D Vision, 2015

2014
Learning Contours for Automatic Annotations of Mountains Pictures on a Smartphone.
Proceedings of the International Conference on Distributed Smart Cameras, 2014

PhD Forum: Sensor Fusion for Outdoors Augmented Reality on Android.
Proceedings of the International Conference on Distributed Smart Cameras, 2014

Personalizing a smartwatch-based gesture interface with transfer learning.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
A smart watch-based gesture recognition system for assisting people with visual impairments.
Proceedings of the 3rd ACM international workshop on Interactive multimedia on mobile & portable devices, 2013


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