Search Results for author: Alexandre Alahi

Found 40 papers, 23 papers with code

SVG-Net: An SVG-based Trajectory Prediction Model

1 code implementation7 Oct 2021 Mohammadhossein Bahari, Vahid Zehtab, Sadegh Khorasani, Sana Ayromlou, Saeed Saadatnejad, Alexandre Alahi

Finally, we illustrate how, by using SVG, one can benefit from datasets and advancements in other research fronts that also utilize the same input format.

Autonomous Driving Trajectory Prediction +1

Keypoint Communities

1 code implementation ICCV 2021 Duncan Zauss, Sven Kreiss, Alexandre Alahi

We present a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation.

Car Pose Estimation

Interpretable Social Anchors for Human Trajectory Forecasting in Crowds

no code implementations CVPR 2021 Parth Kothari, Brian Sifringer, Alexandre Alahi

Human trajectory forecasting in crowds, at its core, is a sequence prediction problem with specific challenges of capturing inter-sequence dependencies (social interactions) and consequently predicting socially-compliant multimodal distributions.

Trajectory Forecasting

Injecting Knowledge in Data-driven Vehicle Trajectory Predictors

1 code implementation8 Mar 2021 Mohammadhossein Bahari, Ismail Nejjar, Alexandre Alahi

On the other hand, recent works use data-driven approaches which can learn complex interactions from the data leading to superior performance.

Trajectory Prediction

OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association

7 code implementations3 Mar 2021 Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi

We present a generic neural network architecture that uses Composite Fields to detect and construct a spatio-temporal pose which is a single, connected graph whose nodes are the semantic keypoints (e. g., a person's body joints) in multiple frames.

Keypoint Detection Multi-Person Pose Estimation +1

Social NCE: Contrastive Learning of Socially-aware Motion Representations

4 code implementations ICCV 2021 Yuejiang Liu, Qi Yan, Alexandre Alahi

Learning socially-aware motion representations is at the core of recent advances in multi-agent problems, such as human motion forecasting and robot navigation in crowds.

Autonomous Navigation Motion Forecasting +1

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

1 code implementation4 Dec 2020 Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi

By increasing the number of attributes jointly learned, we highlight an issue related to the scales of gradients, which arises in MTL with numerous tasks.

Autonomous Driving Multi-Task Learning

Pedestrian Intention Prediction: A Multi-task Perspective

1 code implementation20 Oct 2020 Smail Ait Bouhsain, Saeed Saadatnejad, Alexandre Alahi

This work tries to solve this problem by jointly predicting the intention and visual states of pedestrians.

Autonomous Vehicles Multi-Task Learning

Perceiving Traffic from Aerial Images

1 code implementation16 Sep 2020 George Adaimi, Sven Kreiss, Alexandre Alahi

Drones or UAVs, equipped with different sensors, have been deployed in many places especially for urban traffic monitoring or last-mile delivery.

Object Detection

Perceiving Humans: from Monocular 3D Localization to Social Distancing

1 code implementation1 Sep 2020 Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi

Our neural network estimates human 3D body locations and their orientation with a measure of uncertainty.

MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

2 code implementations25 Aug 2020 Lorenzo Bertoni, Sven Kreiss, Taylor Mordan, Alexandre Alahi

Monocular and stereo visions are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots.

Self-Driving Cars

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

1 code implementation7 Jul 2020 Parth Kothari, Sven Kreiss, Alexandre Alahi

In this work, we present an in-depth analysis of existing deep learning-based methods for modelling social interactions.

Trajectory Forecasting

Using Image Priors to Improve Scene Understanding

no code implementations2 Oct 2019 Brigit Schroeder, Hanlin Tang, Alexandre Alahi

We propose a simple yet effective method for leveraging these image priors to improve semantic segmentation of images from sequential driving datasets.

Autonomous Driving Scene Understanding +1

Deep Visual Re-Identification with Confidence

1 code implementation11 Jun 2019 George Adaimi, Sven Kreiss, Alexandre Alahi

We argue that such loss function is not suited for the visual re-identification task hence propose to model confidence in the representation learning framework.

Object Classification Person Re-Identification +1

Convolutional Relational Machine for Group Activity Recognition

no code implementations CVPR 2019 Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi, Alexandre Alahi

We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial relations between individual persons in image or video.

Group Activity Recognition

PifPaf: Composite Fields for Human Pose Estimation

3 code implementations CVPR 2019 Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi

We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots.

Multi-Person Pose Estimation Self-Driving Cars

Collaborative Sampling in Generative Adversarial Networks

1 code implementation2 Feb 2019 Yuejiang Liu, Parth Kothari, Alexandre Alahi

The standard practice in Generative Adversarial Networks (GANs) discards the discriminator during sampling.

Image Generation

Enhancing Discrete Choice Models with Representation Learning

1 code implementation23 Dec 2018 Brian Sifringer, Virginie Lurkin, Alexandre Alahi

In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and biased parameter estimates.

Representation Learning

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

6 code implementations24 Sep 2018 Changan Chen, Yuejiang Liu, Sven Kreiss, Alexandre Alahi

We propose to (i) rethink pairwise interactions with a self-attention mechanism, and (ii) jointly model Human-Robot as well as Human-Human interactions in the deep reinforcement learning framework.

Human Dynamics Human robot interaction +1

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

7 code implementations CVPR 2018 Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.

Motion Forecasting Multi-future Trajectory Prediction +2

CAR-Net: Clairvoyant Attentive Recurrent Network

no code implementations ECCV 2018 Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, Silvio Savarese

We exploit two sources of information: the past motion trajectory of the agent of interest and a wide top-view image of the navigation scene.

Trajectory Forecasting

Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies

no code implementations ICCV 2017 Amir Sadeghian, Alexandre Alahi, Silvio Savarese

To address this challenge, we present a structure of Recurrent Neural Networks (RNN) that jointly reasons on multiple cues over a temporal window.

Recurrent Attention Models for Depth-Based Person Identification

no code implementations CVPR 2016 Albert Haque, Alexandre Alahi, Li Fei-Fei

We present an attention-based model that reasons on human body shape and motion dynamics to identify individuals in the absence of RGB information, hence in the dark.

Person Identification

Knowledge Transfer for Scene-specific Motion Prediction

no code implementations22 Mar 2016 Lamberto Ballan, Francesco Castaldo, Alexandre Alahi, Francesco Palmieri, Silvio Savarese

When given a single frame of the video, humans can not only interpret the content of the scene, but also they are able to forecast the near future.

motion prediction Trajectory Prediction +1

Learning to Track: Online Multi-Object Tracking by Decision Making

no code implementations ICCV 2015 Yu Xiang, Alexandre Alahi, Silvio Savarese

Online Multi-Object Tracking (MOT) has wide applications in time-critical video analysis scenarios, such as robot navigation and autonomous driving.

Autonomous Driving Decision Making +4

RGB-W: When Vision Meets Wireless

no code implementations ICCV 2015 Alexandre Alahi, Albert Haque, Li Fei-Fei

Inspired by the recent success of RGB-D cameras, we propose the enrichment of RGB data with an additional "quasi-free" modality, namely, the wireless signal (e. g., wifi or Bluetooth) emitted by individuals' cell phones, referred to as RGB-W.

Socially-aware Large-scale Crowd Forecasting

no code implementations CVPR 2014 Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

In crowded spaces such as city centers or train stations, human mobility looks complex, but is often influenced only by a few causes.

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