activity
20202023
most citedMultiple Object Tracking with Mixture Density Networks for Trajectory Estimation

7 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 1 cited

Sign Language Translation from Instructional Videos

Laia Tarrés, Gerard I. Gállego, Amanda Duarte +2

The advances in automatic sign language translation (SLT) to spoken languages have been mostly benchmarked with datasets of limited size and restricted domains. Our work advances t…

cs.LG2022★ 5 cited

Model Zoos: A Dataset of Diverse Populations of Neural Network Models

Konstantin Schürholt, Diyar Taskiran, Boris Knyazev +2

In the last years, neural networks (NN) have evolved from laboratory environments to the state-of-the-art for many real-world problems. It was shown that NN models (i.e., their wei…

cs.LG2022★ 4 cited

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights

Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto +1

Learning representations of neural network weights given a model zoo is an emerging and challenging area with many potential applications from model inspection, to neural architect…

cs.LG2022★ 2 cited

Hyper-Representations for Pre-Training and Transfer Learning

Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto +1

Learning representations of neural network weights given a model zoo is an emerging and challenging area with many potential applications from model inspection, to neural architect…

cs.CV2022★ 1 cited

Sign Language Video Retrieval with Free-Form Textual Queries

Amanda Duarte, Samuel Albanie, Xavier Giró-i-Nieto +1

Systems that can efficiently search collections of sign language videos have been highlighted as a useful application of sign language technology. However, the problem of searching…

cs.CV2021★ 7 cited

Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation

Andreu Girbau, Xavier Giró-i-Nieto, Ignasi Rius +1

Multiple object tracking faces several challenges that may be alleviated with trajectory information. Knowing the posterior locations of an object helps disambiguating and solving…