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08/28/2023
LAC: Latent Action Composition for Skeleton-based Action Segmentation
Skeleton-based action segmentation requires recognizing composable actio...
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08/16/2023
MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions
Automatic analysis of human behaviour is a fundamental prerequisite for ...
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05/10/2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-supervised video representation learning aimed at maximizing simila...
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01/19/2023
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection
Video anomaly detection in surveillance systems with only video-level la...
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01/02/2023
Learning Invariance from Generated Variance for Unsupervised Person Re-identification
This work focuses on unsupervised representation learning in person re-i...
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12/07/2022
Multimodal Vision Transformers with Forced Attention for Behavior Analysis
Human behavior understanding requires looking at minute details in the l...
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08/31/2022
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation le...
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08/19/2022
Synthetic Data in Human Analysis: A Survey
Deep neural networks have become prevalent in human analysis, boosting t...
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07/26/2022
Bodily Behaviors in Social Interaction: Novel Annotations and State-of-the-Art Evaluation
Body language is an eye-catching social signal and its automatic analysi...
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04/20/2022
THORN: Temporal Human-Object Relation Network for Action Recognition
Most action recognition models treat human activities as unitary events....
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03/17/2022
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Due to the remarkable progress of deep generative models, animating imag...
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03/12/2022
Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal
Existing unsupervised person re-identification (ReID) methods focus on a...
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12/22/2021
Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding
Personality computing and affective computing have gained recent interes...
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12/07/2021
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
Action detection is an essential and challenging task, especially for de...
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10/26/2021
CTRN: Class-Temporal Relational Network for Action Detection
Action detection is an essential and challenging task, especially for de...
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10/15/2021
From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation
Multimodal Deep Learning has garnered much interest, and transformers ha...
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10/10/2021
FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation
3D gaze estimation is about predicting the line of sight of a person in ...
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08/20/2021
Weakly-supervised Joint Anomaly Detection and Classification
Anomaly activities such as robbery, explosion, accidents, etc. need imme...
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08/08/2021
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection
In video understanding, most cross-modal knowledge distillation (KD) met...
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07/19/2021
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Action recognition based on skeleton data has recently witnessed increas...
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05/17/2021
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
Many attempts have been made towards combining RGB and 3D poses for the ...
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04/09/2021
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring
A limiting factor towards the wide routine use of wearables devices for ...
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03/30/2021
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification
Unsupervised person re-identification (ReID) aims at learning discrimina...
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02/09/2021
How Unique Is a Face: An Investigative Study
Face recognition has been widely accepted as a means of identification i...
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01/08/2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
In this work, we introduce an unconditional video generative model, InMo...
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12/16/2020
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Annotating identity labels in large-scale datasets is a labour-intensive...
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11/27/2020
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification
The objective of unsupervised person re-identification (Re-ID) is to lea...
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11/10/2020
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos
Taking advantage of human pose data for understanding human activities h...
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10/28/2020
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
This work aims at building a large scale dataset with daily-living activ...
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07/06/2020
VPN: Learning Video-Pose Embedding for Activities of Daily Living
In this paper, we focus on the spatio-temporal aspect of recognizing Act...
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12/11/2019
G^3AN: This video does not exist. Disentangling motion and appearance for video generation
Creating realistic human videos introduces the challenge of being able t...
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09/11/2019
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
In the last years, the computer vision research community has studied on...
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07/30/2019
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Due to the availability of large-scale skeleton datasets, 3D human actio...
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02/01/2018
A Fusion of Appearance based CNNs and Temporal evolution of Skeleton with LSTM for Daily Living Action Recognition
In this paper, we propose efficient method which combines skeleton infor...
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07/22/2013
Online Tracking Parameter Adaptation based on Evaluation
Parameter tuning is a common issue for many tracking algorithms. In orde...
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05/13/2013
Automatic Parameter Adaptation for Multi-object Tracking
Object tracking quality usually depends on video context (e.g. object oc...
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04/18/2013
Object Tracking in Videos: Approaches and Issues
Mobile object tracking has an important role in the computer vision appl...
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06/22/2012
A generic framework for video understanding applied to group behavior recognition
This paper presents an approach to detect and track groups of people in ...
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12/06/2011
A multi-feature tracking algorithm enabling adaptation to context variations
We propose in this paper a tracking algorithm which is able to adapt its...
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06/14/2011
Robust Mobile Object Tracking Based on Multiple Feature Similarity and Trajectory Filtering
This paper presents a new algorithm to track mobile objects in different...
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07/02/2010