Dengxin Dai
60 papers · 2013–2024 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(6)
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Research topics
Computer Vision
(39)
Machine Learning
(38)
Analysis
(29)
Learning Types Β· Machine Learning
(25)
Deep Learning
(23)
Application Areas
(18)
Learning Types Β· Deep Learning
(14)
Artificial Intelligence
(12)
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(10)
Processing
(9)
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(7)
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Domain-Specific
(6)
Core AI
(5)
Optimization & Theory
(5)
Keywords
semantic segmentation
(16)
domain adaptation
(16)
point cloud
(6)
self-supervised learning
(5)
unsupervised learning
(4)
autonomous driving
(4)
semi-supervised learning
(4)
multi-task learning
(4)
object detection
(4)
adverse weather
(3)
unsupervised domain adaptation
(3)
depth estimation
(3)
pseudo labeling
(3)
3d object detection
(3)
knowledge distillation
(3)
representation learning
(3)
domain generalization
(3)
weakly supervised learning
(3)
catastrophic forgetting
(2)
continual learning
(2)
Papers
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
WACV 2024
FreePoint: Unsupervised Point Cloud Instance Segmentation
CVPR 2024
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
ECCV 2024
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations
CVPR 2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
ICCV 2023
Federated Incremental Semantic Segmentation
CVPR 2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
CVPR 2023
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging
WACV 2023
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
CVPR 2023
Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
CVPR 2023
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
ICCV 2023
Towards Robust Object Detection Invariant to Real-World Domain Shifts
ICLR 2023
Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning
CVPR 2023
Adiabatic Quantum Computing for Multi Object Tracking
CVPR 2022
Bi-Level Alignment for Cross-Domain Crowd Counting
CVPR 2022
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
CVPR 2022
Class-Agnostic Object Counting Robust to Intraclass Diversity
ECCV 2022
Continual Test-Time Domain Adaptation
CVPR 2022
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
CVPR 2022
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
CVPR 2022
Decoupling Zero-Shot Semantic Segmentation
CVPR 2022
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
ECCV 2022
Hyperspectral Image Super-Resolution With RGB Image Super-Resolution as an Auxiliary Task
WACV 2022
LiDAR Snowfall Simulation for Robust 3D Object Detection
CVPR 2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
NeurIPS 2022
Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation
CVPR 2022
Scribble-Supervised LiDAR Semantic Segmentation
CVPR 2022
Sound and Visual Representation Learning With Multiple Pretraining Tasks
CVPR 2022
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
ECCV 2022
ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding
ICCV 2021
Analogical Image Translation for Fog Generation
AAAI 2021
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
CVPR 2021
Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation
ICCV 2021
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
ICCV 2021
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
ICCV 2021
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection
WACV 2021
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets
ICCV 2021
Self-Aligned Video Deraining With Transmission-Depth Consistency
CVPR 2021
Spectral Tensor Train Parameterization of Deep Learning Layers
AISTATS 2021
Task Switching Network for Multi-Task Learning
ICCV 2021
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation
CVPR 2021
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks
ECCV 2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
ECCV 2020
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds
ECCV 2020
T-Basis: a Compact Representation for Neural Networks
ICML 2020
Weakly Supervised 3D Object Detection from Lidar Point Cloud
ECCV 2020
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
ICCV 2019
Domain Adaptive Faster R-CNN for Object Detection in the Wild
CVPR 2018
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
ECCV 2018
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
ECCV 2018
Object Referring in Videos With Language and Human Gaze
CVPR 2018
PathTrack: Fast Trajectory Annotation With Path Supervision
ICCV 2017
Fast Algorithms for Linear and Kernel SVM+
CVPR 2016
Scale-Aware Alignment of Hierarchical Image Segmentation
CVPR 2016
Joint Vanishing Point Extraction and Tracking
CVPR 2015
Metric Imitation by Manifold Transfer for Efficient Vision Applications
CVPR 2015
Latent Dictionary Learning for Sparse Representation based Classification
CVPR 2014
The Synthesizability of Texture Examples
CVPR 2014
Ensemble Projection for Semi-supervised Image Classification
ICCV 2013
Example-Based Facade Texture Synthesis
ICCV 2013