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Depth Estimation from Monocular Images and Sparse Radar Data

Sep 30, 2020
Juan-Ting Lin, Dengxin Dai, Luc Van Gool

* 9 pages, 6 figures, Accepted to 2020 IEEE International Conference on Intelligent Robots and Systems (IROS 2020) 

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Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation

Sep 23, 2020
Ozan Unal, Luc Van Gool, Dengxin Dai

* 8 pages, 4 figures, 5 tables 

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Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform

Aug 20, 2020
Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall


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Weakly Supervised 3D Object Detection from Lidar Point Cloud

Jul 23, 2020
Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai

* ECCV 2020; website: https://github.com/hlesmqh/WS3D 

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Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

Jul 17, 2020
Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

* To appear in ECCV 2020 

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T-Basis: a Compact Representation for Neural Networks

Jul 13, 2020
Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool

* Accepted at ICML 2020 

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Learning Accurate and Human-Like Driving using Semantic Maps and Attention

Jul 10, 2020
Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool

* IROS 2020 final version. arXiv admin note: text overlap with arXiv:1903.10995 

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Analogical Image Translation for Fog Generation

Jun 28, 2020
Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool

* 18 pages, 9 figures, 7 tables 

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Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

May 28, 2020
Christos Sakaridis, Dengxin Dai, Luc Van Gool

* 16 pages, 12 figures. arXiv admin note: text overlap with arXiv:1901.05946 

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Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

Apr 29, 2020
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool


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Revisiting Multi-Task Learning in the Deep Learning Era

Apr 28, 2020
Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool

* A survey on recent multi-task learning techniques 

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Quantifying Data Augmentation for LiDAR based 3D Object Detection

Apr 03, 2020
Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool


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Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds

Mar 09, 2020
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

* Project page: https://www.trace.ethz.ch/publications/2020/sound_perception/index.html 

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Matching Neuromorphic Events and Color Images via Adversarial Learning

Mar 02, 2020
Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-song Xia


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Don't Forget The Past: Recurrent Depth Estimation from Monocular Video

Jan 08, 2020
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool


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Self-supervised Object Motion and Depth Estimation from Video

Dec 09, 2019
Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler


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Semantic Understanding of Foggy Scenes with Purely Synthetic Data

Oct 09, 2019
Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool

* ITSC 2019 

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Talk2Nav: Long-Range Vision-and-Language Navigation in Cities

Oct 04, 2019
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

* 18 pages, 11 Figures, Demo Video: https://people.ee.ethz.ch/~arunv/resources/talk2nav.mp4 

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Texture Underfitting for Domain Adaptation

Aug 29, 2019
Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool

* Accepted manuscript, IEEE Intelligent Transportation Systems Conference, 6 pages 

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Learning a Curve Guardian for Motorcycles

Jul 12, 2019
Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool

* 8 pages, to be presented at IEEE-ITSC 2019 

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Gated CRF Loss for Weakly Supervised Semantic Image Segmentation

Jun 11, 2019
Anton Obukhov, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

* 14 pages, 5 figures, 5 tables 

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Learning Accurate, Comfortable and Human-like Driving

Mar 26, 2019
Simon Hecker, Dengxin Dai, Luc Van Gool

* submitted to a conference, 10 pages, 3 figures 

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Real-time 3D Traffic Cone Detection for Autonomous Driving

Feb 06, 2019
Ankit Dhall, Dengxin Dai, Luc Van Gool

* 8 pages, 11 figures. arXiv admin note: substantial text overlap with arXiv:1809.10548 

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Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation

Jan 17, 2019
Christos Sakaridis, Dengxin Dai, Luc Van Gool

* 10 pages 

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Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding

Jan 05, 2019
Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool

* an extension of arXiv:1808.01265 our eccv18 paper (20 pages) 

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End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

Aug 06, 2018
Simon Hecker, Dengxin Dai, Luc Van Gool

* to be published at ECCV 2018 

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Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

Aug 03, 2018
Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool

* final version, ECCV 2018 

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Unified Hypersphere Embedding for Speaker Recognition

Jul 22, 2018
Mahdi Hajibabaei, Dengxin Dai


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Failure Prediction for Autonomous Driving

May 04, 2018
Simon Hecker, Dengxin Dai, Luc Van Gool

* published in IEEE Intelligent Vehicle Symposium 2018 

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Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning

Apr 06, 2018
Dengxin Dai, Wen Li, Till Kroeger, Luc Van Gool


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