Whilst contrastive learning yields powerful representations by matching
...
This paper presents a novel visual-language model called DFER-CLIP, whic...
DETR-based object detectors have achieved remarkable performance but are...
In this paper, we present our method for neural face reenactment, called...
Latent image representations arising from vision-language models have pr...
We introduce S^2VS, a video similarity learning approach with
self-super...
Clustering has been a major research topic in the field of machine learn...
Deep learning has achieved great success in recent years with the aid of...
This work addresses the problem of anonymizing the identity of faces in ...
Objective: In this work, we study the problem of cross-subject motor ima...
In this paper we address the problem of neural face reenactment, where, ...
Capsule Networks have shown tremendous advancement in the past decade,
o...
Self-supervised learning has recently achieved great success in
represen...
Human affect and mental state estimation in an automated manner, face a
...
This work addresses the problem of discovering non-linear interpretable ...
Recent advances in the understanding of Generative Adversarial Networks
...
This paper addresses the problem of finding interpretable directions in ...
Despite the large progress in supervised learning with Neural Networks, ...
This work addresses the problem of discovering, in an unsupervised manne...
In this paper, we address the problem of high performance and computatio...
Learning to localize actions in long, cluttered, and untrimmed videos is...
Understanding interactions between objects in an image is an important
e...
In this technical report we study the problem of propagation of uncertai...
Video summarization technologies aim to create a concise and complete
sy...
This work addresses the problem of temporal action localization with
Var...
In this paper, we address the problem of temporal action localization wi...
In this paper we introduce ViSiL, a Video Similarity Learning architectu...
In this paper we propose a novel Temporal Attentive Relation Network (TA...
Temporal action localization has recently attracted significant interest...
In this paper, we present a novel single shot face-related task analysis...
This paper introduces the problem of Fine-grained Incident Video Retriev...
Patients with schizophrenia often display impairments in the expression ...
In this work we explore how the architecture proposed in [8], which expr...
In this work we propose a novel neural network architecture for the prob...
Traditional methods for motion estimation estimate the motion field F be...
In this paper we propose a supervised initialization scheme for cascaded...
Do object part localization methods produce bilaterally symmetric result...