Search Results for author: Francois Bremond

Found 33 papers, 16 papers with code

P-Age: Pexels Dataset for Robust Spatio-Temporal Apparent Age Classification

no code implementations4 Nov 2023 Abid Ali, Ashish Marisetty, Francois Bremond

To address these challenges, we propose AgeFormer which utilizes spatio-temporal information on the dynamics of the entire body dominating face-based methods for age classification.

Age Classification Age Estimation +1

JOADAA: joint online action detection and action anticipation

no code implementations12 Sep 2023 Mohammed Guermal, Francois Bremond, Rui Dai, Abid Ali

By combining action anticipation and online action detection, our approach can cover the missing dependencies of future information in online action detection.

Action Anticipation Online Action Detection

LAC: Latent Action Composition for Skeleton-based Action Segmentation

no code implementations28 Aug 2023 Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond

In this context, we propose Latent Action Composition (LAC), a novel self-supervised framework aiming at learning from synthesized composable motions for skeleton-based action segmentation.

Action Segmentation Contrastive Learning +2

Self-Supervised Video Representation Learning via Latent Time Navigation

no code implementations10 May 2023 Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond

Self-supervised video representation learning aimed at maximizing similarity between different temporal segments of one video, in order to enforce feature persistence over time.

Action Classification Action Recognition +2

LAC - Latent Action Composition for Skeleton-based Action Segmentation

no code implementations ICCV 2023 Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond

In this context, we propose Latent Action Composition (LAC), a novel self-supervised framework aiming at learning from synthesized composable motions for skeleton-based action segmentation.

Action Segmentation Contrastive Learning +2

ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting

1 code implementation31 Aug 2022 Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond

Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings.

Action Classification Action Recognition +4

THORN: Temporal Human-Object Relation Network for Action Recognition

no code implementations20 Apr 2022 Mohammed Guermal, Rui Dai, Francois Bremond

In this work, we present an end-to-end network: THORN, that can leverage important human-object and object-object interactions to predict actions.

Action Recognition Human-Object Interaction Detection +3

Latent Image Animator: Learning to Animate Images via Latent Space Navigation

no code implementations17 Mar 2022 Yaohui Wang, Di Yang, Francois Bremond, Antitza Dantcheva

Specifically, motion in generated video is constructed by linear displacement of codes in the latent space.

Unsupervised Lifelong Person Re-identification via Contrastive Rehearsal

1 code implementation12 Mar 2022 Hao Chen, Benoit Lagadec, Francois Bremond

Existing unsupervised person re-identification (ReID) methods focus on adapting a model trained on a source domain to a fixed target domain.

Unsupervised Domain Adaptation Unsupervised Person Re-Identification

CTRN: Class-Temporal Relational Network for Action Detection

no code implementations26 Oct 2021 Rui Dai, Srijan Das, Francois Bremond

Action detection is an essential and challenging task, especially for densely labelled datasets of untrimmed videos.

Action Detection

FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

1 code implementation10 Oct 2021 Neelabh Sinha, Michal Balazia, Francois Bremond

3D gaze estimation is about predicting the line of sight of a person in 3D space.

Gaze Estimation

Latent Image Animator: Learning to animate image via latent space navigation

1 code implementation ICLR 2022 Yaohui Wang, Di Yang, Francois Bremond, Antitza Dantcheva

Deviating from such models, we here introduce Latent Image Animator (LIA), a self-supervised auto-encoder that evades need for structure representation.

Image Animation Video Generation

Weakly-supervised Joint Anomaly Detection and Classification

no code implementations20 Aug 2021 Snehashis Majhi, Srijan Das, Francois Bremond, Ratnakar Dash, Pankaj Kumar Sa

Thinking of a fully automatized surveillance system, which is capable of both detecting and classifying the anomalies that need immediate actions, a joint anomaly detection and classification method is a pressing need.

Anomaly Detection Classification +1

Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection

no code implementations ICCV 2021 Rui Dai, Srijan Das, Francois Bremond

On the other hand, sequence-level distillation encourages the student to learn the temporal knowledge from the teacher, which consists of transferring the Global Contextual Relations and the Action Boundary Saliency.

Action Detection Knowledge Distillation +1

VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living

1 code implementation17 May 2021 Srijan Das, Rui Dai, Di Yang, Francois Bremond

But the cost of computing 3D poses from RGB stream is high in the absence of appropriate sensors.

Ranked #7 on Action Recognition on NTU RGB+D 120 (using extra training data)

Action Classification Action Recognition +1

ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification

1 code implementation ICCV 2021 Hao Chen, Benoit Lagadec, Francois Bremond

Then, we use similarity scores as soft pseudo labels to enhance the consistency between augmented and original views, which makes our model more robust to augmentation perturbations.

Contrastive Learning Representation Learning +1

How Unique Is a Face: An Investigative Study

no code implementations9 Feb 2021 Michal Balazia, S L Happy, Francois Bremond, Antitza Dantcheva

Face recognition has been widely accepted as a means of identification in applications ranging from border control to security in the banking sector.

Face Recognition

InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation

no code implementations8 Jan 2021 Yaohui Wang, Francois Bremond, Antitza Dantcheva

We design the architecture of InMoDeGAN-generator in accordance to proposed Linear Motion Decomposition, which carries the assumption that motion can be represented by a dictionary, with related vectors forming an orthogonal basis in the latent space.

Generative Adversarial Network Video Generation

G3AN: Disentangling Appearance and Motion for Video Generation

1 code implementation CVPR 2020 Yaohui Wang, Piotr Bilinski, Francois Bremond, Antitza Dantcheva

Creating realistic human videos entails the challenge of being able to simultaneously generate both appearance, as well as motion.

Video Generation

Deep-Temporal LSTM for Daily Living Action Recognition

no code implementations1 Feb 2018 Srijan Das, Michal Koperski, Francois Bremond, Gianpiero Francesca

In this paper, we propose to improve the traditional use of RNNs by employing a many to many model for video classification.

Action Recognition General Classification +3

Person Re-identification for Real-world Surveillance Systems

no code implementations20 Jul 2016 Furqan M. Khan, Francois Bremond

Current state-of-the-art methods often address the problem by relying on supervised learning of similarity metrics or ranking functions to implicitly model appearance transformation between cameras for each camera pair, or group, in the system.

Person Re-Identification

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