
Dr. Dengxin Dai
Senior Researcher
E-Mail Please contact TODO
Phone +41 xx xxx xx xx
Address Stampfenbachstrasse 48, 8092 Zürich, Switzerland
Room ETH Zurich, Computer Vision Lab
Publications & Projects
We present Scale-aware Domain Adaptive Faster R-CNN, a model aiming at improving the cross-domain robustness of object detection.
We propose a projection-based method for semantic segmentation of LiDar data, called Multi-scale Interaction Network (MINet), which is very efficient and accurate.
This work develops an approach for scene understanding purely based on binaural sounds.
We present a domain flow generation (DLOW) model to bridge two different domains by generating a continuous sequence of intermediate domains flowing from one domain to the other.
We introduce Task Switching Networks (TSNs), a task-conditioned architecture with a single unified encoder/decoder for efficient multi-task learning.
A novel UDA method, DAFormer, consisting of a Transformer encoder and a multi-level context-aware feature fusion decoder, improve SOTA by 10.8 mIoU for GTA->Cityscapes and 5.4 mIoU for Synthia->Cityscapes
Preprint
We propose a novel co-learning framework (CoSSL) with decoupled representation learning and classifier learning for imbalanced SSL.
Preprint
Zero-shot semantic segmentation (ZS3) aims to segment the novel categories that have not been seen in the training. We propose to decouple the ZS3 into two sub-tasks: 1) a class-agnostic grouping task to group the pixels into segments. 2) a zero-shot classification task on segments.
This work presents a novel method for LiDAR-based 3D object detection in foggy weather by simulating foggy effects into standard LiDAR data..
ACDC is a large-scale dataset for training and testing semantic segmentation methods for four adverse visual conditions: fog, nighttime, rain, and snow.
Scale-Aware Domain Adaptive Faster R-CNN Publication "Scale-Aware Domain Adaptive Faster R-CNN" Yuhua Chen, Haoran Wang, Wen Li, [...]
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform Publication "Multi-Scale Interaction for Real-Time LiDAR [...]
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds Publication "Binaural SoundNet: Predicting Semantics, Depth and [...]
DLOW: Domain Flow and Applications Publication "DLOW: Domain Flow and Applications " Rui Gong, Wen Li, Yuhua [...]
Task Switching Network for Multi-Task Learning Publication "Task Switching Network for Multi-Task Learning " Guolei Sun, Thomas [...]
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation Publication "DAFormer: Improving Network Architectures and [...]
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Publication "CoSSL: Co-Learning of Representation and Classifier [...]
Decoupling Zero-Shot Semantic Segmentation Publication "Decoupling Zero-Shot Semantic Segmentation" Jian Ding, Nan Xue, Gui-Song Xia, and Dengxin [...]
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather Publication "Fog Simulation [...]
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding Abstract Level 5 autonomy for self-driving [...]