Lamberto Ballan | DeepAI

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∙ 05/18/2023

Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement

Using only image-sentence pairs, weakly-supervised visual-textual ground...

0 Davide Rigoni, et al. ∙

∙ 05/15/2023

Distilling Knowledge for Short-to-Long Term Trajectory Prediction

Long-term trajectory forecasting is a challenging problem in the field o...

12 Sourav Das, et al. ∙

∙ 12/01/2022

Exploiting Socially-Aware Tasks for Embodied Social Navigation

Learning how to navigate among humans in an occluded and spatially const...

0 Enrico Cancelli, et al. ∙

∙ 10/26/2022

TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early Intent Prediction

Human intention prediction is a growing area of research where an activi...

0 Nada Osman, et al. ∙

∙ 06/01/2022

Where are my Neighbors? Exploiting Patches Relations in Self-Supervised Vision Transformer

Vision Transformers (ViTs) enabled the use of transformer architecture o...

14 Guglielmo Camporese, et al. ∙

∙ 04/25/2022

Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction

Human trajectory forecasting is a key component of autonomous vehicles, ...

15 Luigi Filippo Chiara, et al. ∙

∙ 03/09/2022

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

Accurate prediction of future human positions is an essential task for m...

13 Alessio Monti, et al. ∙

∙ 03/04/2022

Online Learning of Reusable Abstract Models for Object Goal Navigation

In this paper, we present a novel approach to incrementally learn an Abs...

3 Tommaso Campari, et al. ∙

∙ 09/02/2021

SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos

Action anticipation in egocentric videos is a difficult task due to the ...

0 Nada Osman, et al. ∙

∙ 04/19/2021

Conditional Variational Capsule Network for Open Set Recognition

In open set recognition, a classifier has to detect unknown classes that...

0 Yunrui Guo, et al. ∙

∙ 04/02/2021

Prediction of Tuberculosis using U-Net and segmentation techniques

One of the most serious public health problems in Peru and worldwide is ...

16 Dennis Núñez-Fernández, et al. ∙

∙ 08/21/2020

Exploiting Scene-specific Features for Object Goal Navigation

Can the intrinsic relation between an object and the room in which it is...

2 Tommaso Campari, et al. ∙

∙ 07/06/2020

Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images

Tuberculosis (TB), caused by a germ called Mycobacterium tuberculosis, i...

1 Dennis Núñez-Fernández, et al. ∙

∙ 07/05/2020

Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images

Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is...

1 Dennis Núñez-Fernández, et al. ∙

∙ 05/17/2020

AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction

Anticipating human motion in crowded scenarios is essential for developi...

5 Alessia Bertugli, et al. ∙

∙ 04/16/2020

Knowledge Distillation for Action Anticipation via Label Smoothing

Human capability to anticipate near future from visual observations and ...

12 Guglielmo Camporese, et al. ∙

∙ 10/13/2019

A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata

Images represent a commonly used form of visual communication among peop...

52 Tobia Tesan, et al. ∙

∙ 09/19/2019

Social and Scene-Aware Trajectory Prediction in Crowded Spaces

Mimicking human ability to forecast future positions or interpret comple...

5 Matteo Lisotto, et al. ∙

∙ 06/14/2017

Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition

Webly-supervised learning has recently emerged as an alternative paradig...

0 Christian Rupprecht, et al. ∙

∙ 06/06/2017

Localization of JPEG double compression through multi-domain convolutional neural networks

When an attacker wants to falsify an image, in most of cases she/he will...

0 Irene Amerini, et al. ∙

∙ 05/06/2017

Context-Aware Trajectory Prediction

Human motion and behaviour in crowded spaces is influenced by several fa...

0 Federico Bartoli, et al. ∙

∙ 05/04/2017

Am I Done? Predicting Action Progress in Videos

In this paper we introduce the problem of predicting action progress in ...

0 Federico Becattini, et al. ∙

∙ 03/22/2016

Knowledge Transfer for Scene-specific Motion Prediction

When given a single frame of the video, humans can not only interpret th...

0 Lamberto Ballan, et al. ∙

∙ 08/30/2015

Love Thy Neighbors: Image Annotation by Exploiting Image Metadata

Some images that are difficult to recognize on their own may become more...

1 Justin Johnson, et al. ∙

∙ 03/28/2015

Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval

Where previous reviews on content-based image retrieval emphasize on wha...

0 Xirong Li, et al. ∙

∙ 07/02/2014

A Data-Driven Approach for Tag Refinement and Localization in Web Videos

Tagging of visual content is becoming more and more widespread as web-ba...

0 Lamberto Ballan, et al. ∙

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