Temporal Sequences
51 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Temporal Sequences
POPGym
DBE-KT22
Panoramic Video Panoptic Segmentation Dataset
Most implemented papers
Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands
Here, we analyze the brain's trajectories through a high-dimensional activity space at the level of single time point activity patterns from functional magnetic resonance imaging data acquired during passive visual fixation (rest) and an n-back working memory task.
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks
Reservoir computing is a powerful tool to explain how the brain learns temporal sequences, such as movements, but existing learning schemes are either biologically implausible or too inefficient to explain animal performance.
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
princeton-computational-imaging/doppler_nlos
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CVPR 2020
In this work, we depart from visible-wavelength approaches and demonstrate detection, classification, and tracking of hidden objects in large-scale dynamic environments using Doppler radars that can be manufactured at low-cost in series production.
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
fabro66/GAST-Net-3DPoseEstimation
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Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D pose estimation.
Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural Networks
Sign language is a gesture-based symbolic communication medium among speech and hearing impaired people.
Human or Machine? It Is Not What You Write, But How You Write It
luileito/handwriting-biometrics
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Online fraud often involves identity theft.
Detecting Invisible People
We demonstrate that current detection and tracking systems perform dramatically worse on this task.
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
project-basileus/multitype-sequence-generation-by-tlstm-gan
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From the ad network standpoint, a user's activity is a multi-type sequence of temporal events consisting of event types and time intervals.
Learning future terrorist targets through temporal meta-graphs
gcampede/terrorism-metagraphs
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Using real-world data on attacks occurred in Afghanistan and Iraq from 2001 to 2018, we propose the use of temporal meta-graphs and deep learning to forecast future terrorist targets.
Representation Learning via Global Temporal Alignment and Cycle-Consistency
hadjisma/VideoAlignment
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CVPR 2021
We introduce a weakly supervised method for representation learning based on aligning temporal sequences (e. g., videos) of the same process (e. g., human action).
