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06/29/2023
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-popu...
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06/06/2023
On Pitfalls of Test-Time Adaptation
Test-Time Adaptation (TTA) has recently emerged as a promising approach ...
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04/13/2023
Toward Reliable Human Pose Forecasting with Uncertainty
Recently, there has been an arms race of pose forecasting methods aimed ...
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02/14/2023
Predicting long-term collective animal behavior with deep learning
Deciphering the social interactions that govern collective behavior in a...
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01/12/2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Recent years have seen a surge of interest in learning high-level causal...
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11/07/2022
Body Part-Based Representation Learning for Occluded Person Re-Identification
Occluded person re-identification (ReID) is a person retrieval task whic...
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11/06/2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Deep motion forecasting models have achieved great success when trained ...
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10/12/2022
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Advances in computing have enabled widespread access to pose estimation,...
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10/11/2022
A generic diffusion-based approach for 3D human pose prediction in the wild
3D human pose forecasting, i.e., predicting a sequence of future human 3...
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09/25/2022
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
Human trajectory forecasting in crowds presents the challenges of modell...
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06/28/2022
Pedestrian 3D Bounding Box Prediction
Safety is still the main issue of autonomous driving, and in order to be...
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03/04/2022
Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
Forecasting pedestrians' future motions is essential for autonomous driv...
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12/09/2021
A Shared Representation for Photorealistic Driving Simulators
A powerful simulator highly decreases the need for real-world tests when...
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12/08/2021
Do Pedestrians Pay Attention? Eye Contact Detection in the Wild
In urban or crowded environments, humans rely on eye contact for fast an...
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12/07/2021
Vehicle trajectory prediction works, but not everywhere
Vehicle trajectory prediction is nowadays a fundamental pillar of self-d...
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12/07/2021
Causal Imitative Model for Autonomous Driving
Imitation learning is a powerful approach for learning autonomous drivin...
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11/29/2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Learning behavioral patterns from observational data has been a de-facto...
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11/12/2021
DriverGym: Democratising Reinforcement Learning for Autonomous Driving
Despite promising progress in reinforcement learning (RL), developing al...
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10/07/2021
SVG-Net: An SVG-based Trajectory Prediction Model
Anticipating motions of vehicles in a scene is an essential problem for ...
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10/03/2021
Keypoint Communities
We present a fast bottom-up method that jointly detects over 100 keypoin...
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08/24/2021
Are socially-aware trajectory prediction models really socially-aware?
Our field has recently witnessed an arms race of neural network-based tr...
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05/07/2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
Human trajectory forecasting in crowds, at its core, is a sequence predi...
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03/08/2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Vehicle trajectory prediction tasks have been commonly tackled from two ...
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03/03/2021
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Many image-based perception tasks can be formulated as detecting, associ...
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12/21/2020
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Learning socially-aware motion representations is at the core of recent ...
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12/04/2020
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Pedestrians are arguably one of the most safety-critical road users to c...
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10/20/2020
Pedestrian Intention Prediction: A Multi-task Perspective
In order to be globally deployed, autonomous cars must guarantee the saf...
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09/16/2020
Perceiving Traffic from Aerial Images
Drones or UAVs, equipped with different sensors, have been deployed in m...
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09/01/2020
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Perceiving humans in the context of Intelligent Transportation Systems (...
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08/25/2020
MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
Monocular and stereo vision are cost-effective solutions for 3D human lo...
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07/22/2020
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces du...
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07/07/2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Since the past few decades, human trajectory forecasting has been a fiel...
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10/02/2019
Using Image Priors to Improve Scene Understanding
Semantic segmentation algorithms that can robustly segment objects acros...
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06/14/2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
We tackle the fundamentally ill-posed problem of 3D human localization f...
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06/11/2019
Rethinking Person Re-Identification with Confidence
A common challenge in person re-identification systems is to differentia...
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04/05/2019
Convolutional Relational Machine for Group Activity Recognition
We present an end-to-end deep Convolutional Neural Network called Convol...
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03/15/2019
PifPaf: Composite Fields for Human Pose Estimation
We propose a new bottom-up method for multi-person 2D human pose estimat...
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02/02/2019
Collaborative GAN Sampling
Generative adversarial networks (GANs) have shown great promise in gener...
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12/23/2018
Let Me Not Lie: Learning MultiNomial Logit
Discrete choice models generally assume that model specification is know...
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09/24/2018
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Mobility in an effective and socially-compliant manner is an essential y...
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03/29/2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Understanding human motion behavior is critical for autonomous moving pl...
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11/28/2017
CAR-Net: Clairvoyant Attentive Recurrent Network
We present an interpretable framework for path prediction that learns sc...
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08/01/2017
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance
One in twenty-five patients admitted to a hospital will suffer from a ho...
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05/05/2017
Characterizing and Improving Stability in Neural Style Transfer
Recent progress in style transfer on images has focused on improving the...
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01/08/2017
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
The majority of existing solutions to the Multi-Target Tracking (MTT) pr...
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01/07/2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
We present an unsupervised representation learning approach that compact...
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11/28/2016
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition
We present a unified framework for understanding human social behaviors ...
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11/22/2016
Recurrent Attention Models for Depth-Based Person Identification
We present an attention-based model that reasons on human body shape and...
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03/27/2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
We consider image transformation problems, where an input image is trans...
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03/23/2016