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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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11/22/2022
OCTET: Object-aware Counterfactual Explanations
Nowadays, deep vision models are being widely deployed in safety-critica...
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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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09/16/2021
Raising context awareness in motion forecasting
Learning-based trajectory prediction models have encountered great succe...
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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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12/09/2020
Driving Behavior Explanation with Multi-level Fusion
In this era of active development of autonomous vehicles, it becomes cru...
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06/24/2019
RUBi: Reducing Unimodal Biases in Visual Question Answering
Visual Question Answering (VQA) is the task of answering questions about...
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02/25/2019
MUREL: Multimodal Relational Reasoning for Visual Question Answering
Multimodal attentional networks are currently state-of-the-art models fo...
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01/31/2019
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Multimodal representation learning is gaining more and more interest wit...
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12/06/2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Object detectors tend to perform poorly in new or open domains, and requ...
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09/27/2017
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction
In this paper, we present a method to learn a visual representation adap...
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05/18/2017