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09/04/2023
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...
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07/18/2023
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Self-supervised learning can be used for mitigating the greedy needs of ...
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07/03/2023
Butterfly factorization by algorithmic identification of rank-one blocks
Many matrices associated with fast transforms posess a certain low-rank ...
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06/15/2023
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving
Motion forecasting plays a critical role in enabling robots to anticipat...
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02/07/2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Predicting multiple trajectories for road users is important for automat...
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12/15/2022
Unsupervised Object Localization: Observing the Background to Discover Objects
Recent advances in self-supervised visual representation learning have p...
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12/06/2022
PØDA: Prompt-driven Zero-shot Domain Adaptation
Domain adaptation has been vastly investigated in computer vision but st...
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11/22/2022
OCTET: Object-aware Counterfactual Explanations
Nowadays, deep vision models are being widely deployed in safety-critica...
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08/26/2022
Take One Gram of Neural Features, Get Enhanced Group Robustness
Predictive performance of machine learning models trained with empirical...
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07/28/2022
Self-supervised learning with rotation-invariant kernels
A major paradigm for learning image representations in a self-supervised...
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07/25/2022
Active Learning Strategies for Weakly-supervised Object Detection
Object detectors trained with weak annotations are affordable alternativ...
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07/13/2022
Teachers in concordance for pseudo-labeling of 3D sequential data
Automatic pseudo-labeling is a powerful tool to tap into large amounts o...
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06/27/2022
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
Recent works in autonomous driving have widely adopted the bird's-eye-vi...
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05/11/2022
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
Marker-less monocular 3D human motion capture (MoCap) with scene interac...
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04/25/2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is a transfer learning task which a...
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03/21/2022
Drive Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
This work investigates learning pixel-wise semantic image segmentation i...
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12/20/2021
Raw High-Definition Radar for Multi-Task Learning
With their robustness to adverse weather conditions and ability to measu...
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12/06/2021
CSG0: Continual Urban Scene Generation with Zero Forgetting
With the rapid advances in generative adversarial networks (GANs), the v...
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11/17/2021
STEEX: Steering Counterfactual Explanations with Semantics
As deep learning models are increasingly used in safety-critical applica...
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09/29/2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing objects in image collections without supervision can help to ...
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09/16/2021
Raising context awareness in motion forecasting
Learning-based trajectory prediction models have encountered great succe...
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09/08/2021
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR
Vision-based depth estimation is a key feature in autonomous systems, wh...
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08/16/2021
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
In this work, we address the task of unsupervised domain adaptation (UDA...
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06/12/2021
Large-Scale Unsupervised Object Discovery
Existing approaches to unsupervised object discovery (UOD) do not scale ...
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06/03/2021
Semantic Palette: Guiding Scene Generation with Class Proportions
Despite the recent progress of generative adversarial networks (GANs) at...
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05/03/2021
Neural Monocular 3D Human Motion Capture with Physical Awareness
We present a new trainable system for physically plausible markerless 3D...
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03/30/2021
Multi-View Radar Semantic Segmentation
Understanding the scene around the ego-vehicle is key to assisted and au...
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03/25/2021
StyleLess layer: Improving robustness for real-world driving
Deep Neural Networks (DNNs) are a critical component for self-driving ve...
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01/18/2021
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
Domain adaptation is an important task to enable learning when labels ar...
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01/13/2021
Explainability of vision-based autonomous driving systems: Review and challenges
This survey reviews explainability methods for vision-based self-driving...
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12/21/2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
Learning image representations without human supervision is an important...
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12/15/2020
Artificial Dummies for Urban Dataset Augmentation
Existing datasets for training pedestrian detectors in images suffer fro...
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12/11/2020
Confidence Estimation via Auxiliary Models
Reliably quantifying the confidence of deep neural classifiers is a chal...
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12/09/2020
Driving Behavior Explanation with Multi-level Fusion
In this era of active development of autonomous vehicles, it becomes cru...
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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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09/20/2020
PIE: Portrait Image Embedding for Semantic Control
Editing of portrait images is a very popular and important research topi...
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07/10/2020
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users
Advanced perception and path planning are at the core for any self-drivi...
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07/06/2020
Toward unsupervised, multi-object discovery in large-scale image collections
This paper addresses the problem of discovering the objects present in a...
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06/23/2020
Spherical Perspective on Learning with Batch Norm
Batch Normalization (BN) is a prominent deep learning technique. In spit...
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06/15/2020
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
While fully-supervised deep learning yields good models for urban scene ...
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05/09/2020
Photo style transfer with consistency losses
We address the problem of style transfer between two photos and propose ...
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04/02/2020
BUDA: Boundless Unsupervised Domain Adaptation in Semantic Segmentation
In this work, we define and address "Boundless Unsupervised Domain Adapt...
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03/31/2020
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
StyleGAN generates photorealistic portrait images of faces with eyes, te...
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02/27/2020
Learning Representations by Predicting Bags of Visual Words
Self-supervised representation learning targets to learn convnet-based i...
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02/02/2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
With the development of deep representation learning, the domain of rein...
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01/23/2020
Scattering Features for Multimodal Gait Recognition
We consider the problem of identifying people on the basis of their walk...
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12/03/2019
QUEST: Quantized embedding space for transferring knowledge
Knowledge distillation refers to the process of training a compact stude...
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11/28/2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Unsupervised Domain Adaptation (UDA) is crucial to tackle the lack of an...
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11/07/2019
This dataset does not exist: training models from generated images
Current generative networks are increasingly proficient in generating hi...
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06/12/2019