Search Results for author: Sven Kreiss

Found 11 papers, 11 papers with code

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.

2D Human Pose Estimation Car Pose Estimation +2

Deep Social Force

2 code implementations24 Sep 2021 Sven Kreiss

The Social Force model introduced by Helbing and Molnar in 1995 is a cornerstone of pedestrian simulation.

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

6 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.

Car Pose Estimation Keypoint Detection +2

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 object-detection +1

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

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.

Person Re-Identification Representation Learning

PifPaf: Composite Fields for Human Pose Estimation

2 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.

2D Human Pose Estimation Keypoint Detection +2

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 Navigate +3

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