Dengxin Dai

Orcid: 0000-0001-5440-9678

According to our database1, Dengxin Dai authored at least 145 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities.
CoRR, 2024

2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Discwise Active Learning for LiDAR Semantic Segmentation.
IEEE Robotics Autom. Lett., November, 2023

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.
Int. J. Comput. Vis., August, 2023

Revisiting Consistency Regularization for Semi-Supervised Learning.
Int. J. Comput. Vis., March, 2023

Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Deep Gradient Learning for Efficient Camouflaged Object Detection.
Int. J. Autom. Comput., 2023

Object-centric Cross-modal Feature Distillation for Event-based Object Detection.
CoRR, 2023

U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization.
CoRR, 2023

LiDAR Meta Depth Completion.
CoRR, 2023

FreePoint: Unsupervised Point Cloud Instance Segmentation.
CoRR, 2023

No One Left Behind: Real-World Federated Class-Incremental Learning.
CoRR, 2023

Benchmarking the Robustness of LiDAR Semantic Segmentation Models.
CoRR, 2023

Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

LiDAR Meta Depth Completion.
IROS, 2023

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Test-time Domain Adaptation for Monocular Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Robust Object Detection Invariant to Real-World Domain Shifts.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Federated Incremental Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learnable Online Graph Representations for 3D Multi-Object Tracking.
IEEE Robotics Autom. Lett., 2022

End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization.
IEEE Robotics Autom. Lett., 2022

Improving Depth Estimation Using Map-Based Depth Priors.
IEEE Robotics Autom. Lett., 2022

Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform.
IEEE Robotics Autom. Lett., 2022

Multi-Task Learning for Dense Prediction Tasks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Simulating Road Spray Effects in Automotive Lidar Sensor Models.
CoRR, 2022

One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers.
CoRR, 2022

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.
CoRR, 2022

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction.
CoRR, 2022

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes.
CoRR, 2022

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation.
CoRR, 2022

Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Motion Transformer with Global Intention Localization and Local Movement Refinement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Agnostic Object Counting Robust to Intraclass Diversity.
Proceedings of the Computer Vision - ECCV 2022, 2022

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Adiabatic Quantum Computing for Multi Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sound and Visual Representation Learning with Multiple Pretraining Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scribble-Supervised LiDAR Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LiDAR Snowfall Simulation for Robust 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bi-level Alignment for Cross-Domain Crowd Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Decoupling Zero-Shot Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Test-Time Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory.
Int. J. Comput. Vis., 2021

DLOW: Domain Flow and Applications.
Int. J. Comput. Vis., 2021

Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions".
Int. J. Comput. Vis., 2021

Scale-Aware Domain Adaptive Faster R-CNN.
Int. J. Comput. Vis., 2021

CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning.
CoRR, 2021

TADA: Taxonomy Adaptive Domain Adaptation.
CoRR, 2021

Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets.
CoRR, 2021

Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Task Switching Network for Multi-task Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Aligned Video Deraining With Transmission-Depth Consistency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spectral Tensor Train Parameterization of Deep Learning Layers.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Analogical Image Translation for Fog Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video.
IEEE Robotics Autom. Lett., 2020

Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding.
Int. J. Comput. Vis., 2020

Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation.
CoRR, 2020

Learning Accurate and Human-Like Driving using Semantic Maps and Attention.
CoRR, 2020

Analogical Image Translation for Fog Generation.
CoRR, 2020

Revisiting Multi-Task Learning in the Deep Learning Era.
CoRR, 2020

Quantifying Data Augmentation for LiDAR based 3D Object Detection.
CoRR, 2020

Matching Neuromorphic Events and Color Images via Adversarial Learning.
CoRR, 2020

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Depth Estimation from Monocular Images and Sparse Radar Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Accurate and Human-Like Driving using Semantic Maps and Attention.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

T-Basis: a Compact Representation for Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds.
Proceedings of the Computer Vision - ECCV 2020, 2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly Supervised 3D Object Detection from Lidar Point Cloud.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self-supervised Object Motion and Depth Estimation from Video.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning the Synthesizability of Dynamic Texture Samples.
IEEE Trans. Image Process., 2019

Talk2Nav: Long-Range Vision-and-Language Navigation in Cities.
CoRR, 2019

Learning Accurate, Comfortable and Human-like Driving.
CoRR, 2019

Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation.
CoRR, 2019

Real-time 3D Traffic Cone Detection for Autonomous Driving.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Texture Underfitting for Domain Adaptation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Learning a Curve Guardian for Motorcycles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Semantic Understanding of Foggy Scenes with Purely Synthetic Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Semantic Foggy Scene Understanding with Synthetic Data.
Int. J. Comput. Vis., 2018

Unified Hypersphere Embedding for Speaker Recognition.
CoRR, 2018

Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning.
CoRR, 2018

Learning Driving Models with a Surround-View Camera System and a Route Planner.
CoRR, 2018

Object Referring in Visual Scene with Spoken Language.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Failure Prediction for Autonomous Driving.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Delving into the Synthesizability of Dynamic Texture Samples.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding.
Proceedings of the Computer Vision - ECCV 2018, 2018

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners.
Proceedings of the Computer Vision - ECCV 2018, 2018

Object Referring in Videos With Language and Human Gaze.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Domain Adaptive Faster R-CNN for Object Detection in the Wild.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Object Referring in Visual Scene with Spoken Language.
CoRR, 2017

Speech-Based Visual Question Answering.
CoRR, 2017

VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017

Deep Domain Adaptation by Geodesic Distance Minimization.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

PathTrack: Fast Trajectory Annotation with Path Supervision.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Towards Cost-Effective and Performance-Aware Vision Algorithms.
PhD thesis, 2016

Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering.
CoRR, 2016

Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Is image super-resolution helpful for other vision tasks?
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Fast Optical Flow Using Dense Inverse Search.
Proceedings of the Computer Vision - ECCV 2016, 2016

Fast Algorithms for Linear and Kernel SVM+.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Scale-Aware Alignment of Hierarchical Image Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
How Useful Is Image Super-resolution to Other Vision Tasks?
CoRR, 2015

Jointly Optimized Regressors for Image Super-resolution.
Comput. Graph. Forum, 2015

Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision Workshops, 2015

Joint vanishing point extraction and tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Metric imitation by manifold transfer for efficient vision applications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Latent Dictionary Learning for Sparse Representation Based Classification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The Synthesizability of Texture Examples.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Example-Based Facade Texture Synthesis.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Ensemble Projection for Semi-supervised Image Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models.
IEEE Trans. Image Process., 2012

Learning Domain Knowledge for Façade Labelling.
Proceedings of the Computer Vision - ECCV 2012, 2012

Ensemble Partitioning for Unsupervised Image Categorization.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Multilevel Local Pattern Histogram for SAR Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2011

Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation.
IEEE Geosci. Remote. Sens. Lett., 2011

2010
Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests.
EURASIP J. Adv. Signal Process., 2010

Three-layer Spatial Sparse Coding for Image Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fast semantic scene segmentation with conditional random field.
Proceedings of the International Conference on Image Processing, 2010

Discovering scene categories by information projection and cluster sampling.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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