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04/29/2023
CARLA-BSP: a simulated dataset with pedestrians
We present a sample dataset featuring pedestrians generated using the AR...
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02/20/2023
On the Metrics for Evaluating Monocular Depth Estimation
Monocular Depth Estimation (MDE) is performed to produce 3D information ...
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02/07/2023
Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning
On end-to-end driving, a large amount of expert driving demonstrations i...
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07/23/2022
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local experts
Monocular vision based road detection methods are mostly based on machin...
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05/31/2022
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models
Semantic image segmentation is addressed by training deep models. Since ...
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04/23/2021
Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches
Top-performing computer vision models are powered by convolutional neura...
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03/22/2021
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Depth information is essential for on-board perception in autonomous dri...
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08/21/2020
Action-Based Representation Learning for Autonomous Driving
Human drivers produce a vast amount of data which could, in principle, b...
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08/12/2020
Co-training for On-board Deep Object Detection
Providing ground truth supervision to train visual models has been a bot...
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04/22/2020
Distributed Learning and Inference with Compressed Images
Modern computer vision requires processing large amounts of data, both w...
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11/20/2019
Active Learning for Deep Detection Neural Networks
The cost of drawing object bounding boxes (i.e. labeling) for millions o...
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10/09/2019
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation
Anticipating the intentions of vulnerable road users (VRUs) such as pede...
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10/02/2019
Slanted Stixels: A way to represent steep streets
This work presents and evaluates a novel compact scene representation ba...
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08/30/2019
Temporal Coherence for Active Learning in Videos
Autonomous driving systems require huge amounts of data to train. Manual...
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07/25/2019
Self-supervised Domain Adaptation for Computer Vision Tasks
Recent progress of self-supervised visual representation learning has ac...
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06/07/2019
Multimodal End-to-End Autonomous Driving
Autonomous vehicles (AVs) are key for the intelligent mobility of the fu...
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04/18/2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Driving requires reacting to a wide variety of complex environment condi...
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09/13/2018
On Offline Evaluation of Vision-based Driving Models
Autonomous driving models should ideally be evaluated by deploying them ...
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08/22/2018
Joint Coarse-And-Fine Reasoning for Deep Optical Flow
We propose a novel representation for dense pixel-wise estimation tasks ...
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08/16/2018
Metric Learning for Novelty and Anomaly Detection
When neural networks process images which do not resemble the distributi...
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07/15/2018
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation
Our recent work suggests that, thanks to nowadays powerful CNNs, image-b...
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04/17/2018
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
Autonomous driving has harsh requirements of small model size and energy...
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03/21/2018
Monocular Depth Estimation by Learning from Heterogeneous Datasets
Depth estimation provides essential information to perform autonomous dr...
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02/08/2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
In this paper we propose an approach to avoiding catastrophic forgetting...
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07/17/2017
Slanted Stixels: Representing San Francisco's Steepest Streets
In this work we present a novel compact scene representation based on St...
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12/29/2016
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Supervised learning tends to produce more accurate classifiers than unsu...
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12/02/2016
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...
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11/09/2016
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest
Random Forest (RF) is a successful paradigm for learning classifiers due...
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11/05/2016
GPU-based Pedestrian Detection for Autonomous Driving
We propose a real-time pedestrian detection system for the embedded Nvid...
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12/11/2014
Road Detection by One-Class Color Classification: Dataset and Experiments
Detecting traversable road areas ahead a moving vehicle is a key process...
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12/10/2014
Road Detection via On--line Label Transfer
Vision-based road detection is an essential functionality for supporting...
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08/22/2014
Hierarchical Adaptive Structural SVM for Domain Adaptation
A key topic in classification is the accuracy loss produced when the dat...
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07/14/2014