research
∙
11/16/2022
An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022
This technical report describes the CONE approach for Ego4D Natural Lang...
share
research
∙
09/22/2022
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Video temporal grounding (VTG) targets to localize temporal moments in a...
research
∙
08/30/2021
Searching for Two-Stream Models in Multivariate Space for Video Recognition
Conventional video models rely on a single stream to capture the complex...
research
∙
06/14/2020
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Localizing persons and recognizing their actions from videos is a challe...
research
∙
03/15/2020
SF-Net: Single-Frame Supervision for Temporal Action Localization
In this paper, we study an intermediate form of supervision, i.e., singl...
research
∙
10/24/2019
LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization
Recently, Weakly-supervised Temporal Action Localization (WTAL) has been...
research
∙
05/23/2019
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation
Many real-world applications involve multivariate, geo-tagged time serie...
research
∙
01/11/2019
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Motion has shown to be useful for video understanding, where motion is t...
research
∙
10/27/2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Deep neural networks suffer from over-fitting and catastrophic forgettin...
research
∙
07/22/2018
AutoLoc: Weakly-supervised Temporal Action Localization
Temporal Action Localization (TAL) in untrimmed video is important for m...
research
∙
02/19/2018
Online Action Detection in Untrimmed, Streaming Videos - Modeling and Evaluation
The goal of Online Action Detection (OAD) is to detect action in a timel...
research
∙
10/17/2017
Single Shot Temporal Action Detection
Temporal action detection is a very important yet challenging problem, s...
research
∙
07/21/2017
Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017
In this notebook paper, we describe our approach in the submission to th...
research
∙
03/04/2017
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Temporal action localization is an important yet challenging problem. Gi...
research
∙
05/24/2016
EventNet Version 1.1 Technical Report
EventNet is a large-scale video corpus and event ontology consisting of ...
research
∙
01/09/2016