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06/03/2023
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers
This paper introduces Content-aware Token Sharing (CTS), a token reducti...
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04/17/2023
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images
Unified panoptic segmentation methods are achieving state-of-the-art res...
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04/04/2023
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Learning anticipation in Multi-Agent Reinforcement Learning (MARL) is a ...
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03/15/2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation
Learning anticipation is a reasoning paradigm in multi-agent reinforceme...
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03/03/2023
Unified Perception: Efficient Video Panoptic Segmentation with Minimal Annotation Costs
Depth-aware video panoptic segmentation is a promising approach to camer...
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01/18/2023
Training Semantic Segmentation on Heterogeneous Datasets
We explore semantic segmentation beyond the conventional, single-dataset...
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03/21/2022
Self-Supervised Road Layout Parsing with Graph Auto-Encoding
Aiming for higher-level scene understanding, this work presents a neural...
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07/14/2021
Deep Adaptive Multi-Intention Inverse Reinforcement Learning
This paper presents a deep Inverse Reinforcement Learning (IRL) framewor...
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07/13/2021
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation
We introduce an unsupervised domain adaption (UDA) strategy that combine...
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06/11/2021
Part-aware Panoptic Segmentation
In this work, we introduce the new scene understanding task of Part-awar...
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12/10/2020
Image-Graph-Image Translation via Auto-Encoding
This work presents the first convolutional neural network that learns an...
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04/16/2020
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
In this technical report, we present two novel datasets for image scene ...
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10/09/2019
Fast Panoptic Segmentation Network
In this work, we present an end-to-end network for fast panoptic segment...
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09/10/2019
Semantic Foreground Inpainting from Weak Supervision
Semantic scene understanding is an essential task for self-driving vehic...
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07/23/2019
Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge
We propose a novel single-step training strategy that allows convolution...
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07/16/2019
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision
Training convolutional networks for semantic segmentation with strong (p...
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03/08/2019
On Boosting Semantic Street Scene Segmentation with Weak Supervision
Training convolutional networks for semantic segmentation requires per-p...
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02/07/2019
Single Network Panoptic Segmentation for Street Scene Understanding
In this work, we propose a single deep neural network for panoptic segme...
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09/14/2018
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
We propose a normalization layer for unsupervised domain adaption in sem...
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09/06/2018
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network
We present an end-to-end method for the task of panoptic segmentation. T...
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04/06/2018
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders
In this work, we research and evaluate the usage of convolutional variat...
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04/08/2016
