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08/14/2023
An Outlook into the Future of Egocentric Vision
What will the future be? We wonder! In this survey, we explore the gap b...
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07/12/2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection
Standard recognition approaches are unable to deal with novel categories...
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03/25/2023
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Deep learning-based recognition systems are deployed at scale for severa...
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03/07/2023
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Soft robots are becoming extremely popular thanks to their intrinsic saf...
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11/13/2022
PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting
Optimization and planning methods for tasks involving 3D objects often r...
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07/23/2022
Towards Open Set 3D Learning: A Benchmark on Object Point Clouds
In the last years, there has been significant progress in the field of 3...
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07/18/2022
Semantic Novelty Detection via Relational Reasoning
Semantic novelty detection aims at discovering unknown categories in the...
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06/29/2022
Online vs. Offline Adaptive Domain Randomization Benchmark
Physics simulators have shown great promise for conveniently learning re...
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03/17/2022
Contrastive Learning for Cross-Domain Open World Recognition
The ability to evolve is fundamental for any valuable autonomous agent w...
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03/10/2022
End-to-End Learning to Grasp from Object Point Clouds
The ability to grasp objects is an essential skill that enables many rob...
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07/05/2021
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
Vision systems trained in closed-world scenarios will inevitably fail wh...
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06/04/2021
Towards Fairness Certification in Artificial Intelligence
Thanks to the great progress of machine learning in the last years, seve...
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03/30/2021
Denoise and Contrast for Category Agnostic Shape Completion
In this paper, we present a deep learning model that exploits the power ...
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03/26/2021
Translate to Adapt: RGB-D Scene Recognition across Domains
Scene classification is one of the basic problems in computer vision res...
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01/22/2021
Rethinking Domain Generalization Baselines
Despite being very powerful in standard learning settings, deep learning...
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07/24/2020
Self-Supervised Learning Across Domains
Human adaptability relies crucially on learning and merging knowledge fr...
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07/24/2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
Open Set Domain Adaptation (OSDA) bridges the domain gap between a label...
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05/23/2020
One-Shot Unsupervised Cross-Domain Detection
Despite impressive progress in object detection over the last years, it ...
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04/15/2020
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
Point cloud processing and 3D shape understanding are very challenging t...
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10/09/2019
Learning to Generalize One Sample at a Time with Self-Supervision
Although deep networks have significantly increased the performance of v...
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06/12/2019
Tackling Partial Domain Adaptation with Self-Supervision
Domain adaptation approaches have shown promising results in reducing th...
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03/16/2019
Domain Generalization by Solving Jigsaw Puzzles
Human adaptability relies crucially on the ability to learn and merge kn...
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08/03/2018
Agnostic Domain Generalization
The ability to generalize across visual domains is crucial for the robus...
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02/24/2018
Adaptive Deep Learning through Visual Domain Localization
A commercial robot, trained by its manufacturer to recognize a predefine...
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05/24/2017
From source to target and back: symmetric bi-directional adaptive GAN
The effectiveness of generative adversarial approaches in producing imag...
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05/22/2017
Training Deep Networks without Learning Rates Through Coin Betting
Deep learning methods achieve state-of-the-art performance in many appli...
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02/28/2017
Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work
Deep networks thrive when trained on large scale data collections. This ...
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11/01/2016
Solving Visual Madlibs with Multiple Cues
This paper presents an approach for answering fill-in-the-blank multiple...
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10/06/2015
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks
How can we reuse existing knowledge, in the form of available datasets, ...
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05/06/2015
A Deeper Look at Dataset Bias
The presence of a bias in each image data collection has recently attrac...
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11/17/2014
Joint cross-domain classification and subspace learning for unsupervised adaptation
Domain adaptation aims at adapting the knowledge acquired on a source do...
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09/26/2014
