Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
Facial expressions of emotion states and their neuronal correlates in mice
Understanding the neurobiological underpinnings of emotion relies on objective readouts of
the emotional state of an individual, which remains a major challenge especially in animal …
the emotional state of an individual, which remains a major challenge especially in animal …
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
A three-dimensional virtual mouse generates synthetic training data for behavioral analysis
We developed a three-dimensional (3D) synthetic animated mouse based on computed
tomography scans that is actuated using animation and semirandom, joint-constrained …
tomography scans that is actuated using animation and semirandom, joint-constrained …
Self-supervised learning to detect key frames in videos
Detecting key frames in videos is a common problem in many applications such as video
classification, action recognition and video summarization. These tasks can be performed …
classification, action recognition and video summarization. These tasks can be performed …
[PDF][PDF] A face recognition system using convolutional feature extraction with linear collaborative discriminant regression classification
S Hosgurmath, VV Mallappa, NB Patil… - International Journal of …, 2022 - academia.edu
Face recognition is one of the important biometric authentication research areas for security
purposes in many fields such as pattern recognition and image processing. However, the …
purposes in many fields such as pattern recognition and image processing. However, the …
Multi-person activity recognition and tracking based on skeletal keypoint detection
HS Li, JY Chen, H Xia - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
Currently, most action recognition networks have deep overall structures, large model
parameters, and high requirements for computer hardware equipment. As a result, it is easy …
parameters, and high requirements for computer hardware equipment. As a result, it is easy …
基于骨骼及表观特征融合的动作识别方法
王洪雁， 袁海 - 通信学报, 2022 - infocomm-journal.com
针对传统动作识别算法不易区分相似动作的问题, 提出一种基于深度关节与手工表观特征融合的
动作识别方法. 首先将关节空域位置及约束输入具有时空注意力机制的长短期记忆(LSTM) …
动作识别方法. 首先将关节空域位置及约束输入具有时空注意力机制的长短期记忆(LSTM) …
Time‐attentive fusion network: An efficient model for online detection of action start
X Hu, S Wang, M Li, Y Li, S Du - IET Image Processing, 2024 - Wiley Online Library
Online detection of action start is a significant and challenging task that requires prompt
identification of action start positions and corresponding categories within streaming videos …
identification of action start positions and corresponding categories within streaming videos …
Framework design for similar video detection: a graph based video clustering approach
Partial duplication of existing videos is a widespread phenomenon afflicting the world. Old
videos are re-circulated to fit an agenda or narrative. Such videos cause misunderstandings …
videos are re-circulated to fit an agenda or narrative. Such videos cause misunderstandings …