research
∙
05/18/2023
Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement
Using only image-sentence pairs, weakly-supervised visual-textual ground...
share
research
∙
05/15/2023
Distilling Knowledge for Short-to-Long Term Trajectory Prediction
Long-term trajectory forecasting is a challenging problem in the field o...
research
∙
12/01/2022
Exploiting Socially-Aware Tasks for Embodied Social Navigation
Learning how to navigate among humans in an occluded and spatially const...
research
∙
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...
research
∙
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...
research
∙
04/25/2022
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Human trajectory forecasting is a key component of autonomous vehicles, ...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
04/19/2021
Conditional Variational Capsule Network for Open Set Recognition
In open set recognition, a classifier has to detect unknown classes that...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
07/05/2020
Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
Tuberculosis, caused by a bacteria called Mycobacterium tuberculosis, is...
research
∙
05/17/2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Anticipating human motion in crowded scenarios is essential for developi...
research
∙
04/16/2020
Knowledge Distillation for Action Anticipation via Label Smoothing
Human capability to anticipate near future from visual observations and ...
research
∙
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...
research
∙
09/19/2019
Social and Scene-Aware Trajectory Prediction in Crowded Spaces
Mimicking human ability to forecast future positions or interpret comple...
research
∙
06/14/2017
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition
Webly-supervised learning has recently emerged as an alternative paradig...
research
∙
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...
research
∙
05/06/2017
Context-Aware Trajectory Prediction
Human motion and behaviour in crowded spaces is influenced by several fa...
research
∙
05/04/2017
Am I Done? Predicting Action Progress in Videos
In this paper we introduce the problem of predicting action progress in ...
research
∙
03/22/2016
Knowledge Transfer for Scene-specific Motion Prediction
When given a single frame of the video, humans can not only interpret th...
research
∙
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...
research
∙
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...
research
∙
07/02/2014
