research
∙
03/29/2023
What, when, and where? – Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
Spatio-temporal grounding describes the task of localizing events in spa...
share
research
∙
03/29/2023
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions
To enable progress towards egocentric agents capable of understanding ev...
research
∙
10/22/2022
Weakly-Supervised Temporal Article Grounding
Given a long untrimmed video and natural language queries, video groundi...
research
∙
04/27/2022
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis
Identification of brain regions related to the specific neurological dis...
research
∙
03/28/2022
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo
This article aims to summarize recent and ongoing efforts to simulate co...
research
∙
12/08/2021
Everything at Once – Multi-modal Fusion Transformer for Video Retrieval
Multi-modal learning from video data has seen increased attention recent...
research
∙
12/01/2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision
Videos are a rich source for self-supervised learning (SSL) of visual re...
research
∙
12/01/2021
Routing with Self-Attention for Multimodal Capsule Networks
The task of multimodal learning has seen a growing interest recently as ...
research
∙
11/08/2021
Cascaded Multilingual Audio-Visual Learning from Videos
In this paper, we explore self-supervised audio-visual models that learn...
research
∙
09/27/2021
Joint Multimedia Event Extraction from Video and Article
Visual and textual modalities contribute complementary information about...
research
∙
06/24/2021
Overcoming barriers to scalability in variational quantum Monte Carlo
The variational quantum Monte Carlo (VQMC) method received significant a...
research
∙
04/26/2021
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Multimodal self-supervised learning is getting more and more attention a...
research
∙
11/20/2020
Meta Variational Monte Carlo
An identification is found between meta-learning and the problem of dete...
research
∙
01/05/2020
General Partial Label Learning via Dual Bipartite Graph Autoencoder
We formulate a practical yet challenging problem: General Partial Label ...
research
∙
11/28/2018