Dengxin Dai

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ETH Zurich ∙ Wuhan University

Lecturer at ETH Zurich, Department of Information Technology and Electrical Engineering

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

Point cloud semantic segmentation plays an essential role in autonomous ...
09/22/2020 ∙ by Ozan Unal, et al. ∙ 2 ∙ share

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Weakly Supervised 3D Object Detection from Lidar Point Cloud

It is laborious to manually label point cloud data for training high-qua...
07/23/2020 ∙ by Qinghao Meng, et al. ∙ 10 ∙ share

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

In this paper, we introduce a new reinforcement learning (RL) based neur...
07/17/2020 ∙ by Yuan Tian, et al. ∙ 29 ∙ share

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T-Basis: a Compact Representation for Neural Networks

We introduce T-Basis, a novel concept for a compact representation of a ...
07/13/2020 ∙ by Anton Obukhov, et al. ∙ 20 ∙ share

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

This paper investigates how end-to-end driving models can be improved to...
07/10/2020 ∙ by Simon Hecker, et al. ∙ 0 ∙ share

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Analogical Image Translation for Fog Generation

Image-to-image translation is to map images from a given style to anothe...
06/28/2020 ∙ by Rui Gong, et al. ∙ 0 ∙ share

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

We address the problem of semantic nighttime image segmentation and impr...
05/28/2020 ∙ by Christos Sakaridis, et al. ∙ 3 ∙ share

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

This work studies the problem of predicting the sequence of future actio...
04/29/2020 ∙ by Jan-Nico Zaech, et al. ∙ 5 ∙ share

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Revisiting Multi-Task Learning in the Deep Learning Era

Despite the recent progress in deep learning, most approaches still go f...
04/28/2020 ∙ by Simon Vandenhende, et al. ∙ 1 ∙ share

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Quantifying Data Augmentation for LiDAR based 3D Object Detection

In this work, we shed light on different data augmentation techniques co...
04/03/2020 ∙ by Martin Hahner, et al. ∙ 12 ∙ share

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

Humans can robustly recognize and localize objects by integrating visual...
03/09/2020 ∙ by Arun Balajee Vasudevan, et al. ∙ 8 ∙ share

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Matching Neuromorphic Events and Color Images via Adversarial Learning

The event camera has appealing properties: high dynamic range, low laten...
03/02/2020 ∙ by Fang Xu, et al. ∙ 6 ∙ share

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

Autonomous cars need continuously updated depth information. Thus far, t...
01/08/2020 ∙ by Vaishakh Patil, et al. ∙ 29 ∙ share

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Self-supervised Object Motion and Depth Estimation from Video

We present a self-supervised learning framework to estimate the individu...
12/09/2019 ∙ by Qi Dai, et al. ∙ 14 ∙ share

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Semantic Understanding of Foggy Scenes with Purely Synthetic Data

This work addresses the problem of semantic scene understanding under fo...
10/09/2019 ∙ by Martin Hahner, et al. ∙ 7 ∙ share

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

Autonomous driving models often consider the goal as fixed at the start ...
10/04/2019 ∙ by Arun Balajee Vasudevan, et al. ∙ 21 ∙ share

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Texture Underfitting for Domain Adaptation

Comprehensive semantic segmentation is one of the key components for rob...
08/29/2019 ∙ by Jan-Nico Zaech, et al. ∙ 8 ∙ share

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Learning a Curve Guardian for Motorcycles

Up to 17 through a curve and the main cause of curve accidents can be at...
07/12/2019 ∙ by Simon Hecker, et al. ∙ 3 ∙ share

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Gated CRF Loss for Weakly Supervised Semantic Image Segmentation

State-of-the-art approaches for semantic segmentation rely on deep convo...
06/11/2019 ∙ by Anton Obukhov, et al. ∙ 1 ∙ share

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Learning Accurate, Comfortable and Human-like Driving

Autonomous vehicles are more likely to be accepted if they drive accurat...
03/26/2019 ∙ by Simon Hecker, et al. ∙ 6 ∙ share

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Real-time 3D Traffic Cone Detection for Autonomous Driving

Considerable progress has been made in semantic scene understanding of r...
02/06/2019 ∙ by Ankit Dhall, et al. ∙ 10 ∙ share

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

This work addresses the problem of semantic segmentation of nighttime im...
01/17/2019 ∙ by Christos Sakaridis, et al. ∙ 6 ∙ share

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

This work addresses the problem of semantic scene understanding under fo...
01/05/2019 ∙ by Dengxin Dai, et al. ∙ 2 ∙ share

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Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

This work addresses the problem of semantic image segmentation of nightt...
10/05/2018 ∙ by Dengxin Dai, et al. ∙ 6 ∙ share

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

This work addresses the problem of semantic scene understanding under de...
08/03/2018 ∙ by Christos Sakaridis, et al. ∙ 2 ∙ share

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Unified Hypersphere Embedding for Speaker Recognition

Incremental improvements in accuracy of Convolutional Neural Networks ar...
07/22/2018 ∙ by Mahdi Hajibabaei, et al. ∙ 0 ∙ share

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Failure Prediction for Autonomous Driving

The primary focus of autonomous driving research is to improve driving a...
05/04/2018 ∙ by Simon Hecker, et al. ∙ 0 ∙ share

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Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning

Manifold theory has been the central concept of many learning methods. H...
04/06/2018 ∙ by Dengxin Dai, et al. ∙ 0 ∙ share

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Learning Driving Models with a Surround-View Camera System and a Route Planner

For people, having a rear-view mirror and side-view mirrors is vital for...
03/27/2018 ∙ by Simon Hecker, et al. ∙ 0 ∙ share

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Domain Adaptive Faster R-CNN for Object Detection in the Wild

Object detection typically assumes that training and test data are drawn...
03/08/2018 ∙ by Yuhua Chen, et al. ∙ 0 ∙ share

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Learning the Synthesizability of Dynamic Texture Samples

A dynamic texture (DT) refers to a sequence of images that exhibit tempo...
02/03/2018 ∙ by Feng Yang, et al. ∙ 0 ∙ share

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Object Referring in Videos with Language and Human Gaze

We investigate the problem of object referring (OR) i.e. to localize a t...
01/04/2018 ∙ by Arun Balajee Vasudevan, et al. ∙ 0 ∙ share

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Object Referring in Visual Scene with Spoken Language

Object referring has important applications, especially for human-machin...
11/10/2017 ∙ by Arun Balajee Vasudevan, et al. ∙ 0 ∙ share

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Semantic Foggy Scene Understanding with Synthetic Data

This work addresses the problem of semantic foggy scene understanding (S...
08/25/2017 ∙ by Christos Sakaridis, et al. ∙ 0 ∙ share

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Deep Domain Adaptation by Geodesic Distance Minimization

In this paper, we propose a new approach called Deep LogCORAL for unsupe...
07/13/2017 ∙ by Yifei Wang, et al. ∙ 0 ∙ share

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Speech-Based Visual Question Answering

This paper introduces speech-based visual question answering (VQA), the ...
05/01/2017 ∙ by Ted Zhang, et al. ∙ 0 ∙ share

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PathTrack: Fast Trajectory Annotation with Path Supervision

Progress in Multiple Object Tracking (MOT) has been historically limited...
03/07/2017 ∙ by Santiago Manen, et al. ∙ 0 ∙ share

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Fast Optical Flow using Dense Inverse Search

Most recent works in optical flow extraction focus on the accuracy and n...
03/11/2016 ∙ by Till Kroeger, et al. ∙ 0 ∙ share

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Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering

This paper investigates the problem of image classification with limited...
02/02/2016 ∙ by Dengxin Dai, et al. ∙ 0 ∙ share

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Dengxin Dai

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