27 citations · 114 across the 22 of their papers we have counts for
22 papers
TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
Yanan Wu, Yuhan Yan, Tailai Chen +5
On-the-fly category discovery (OCD) aims to recognize known categories while simultaneously discovering novel ones from an unlabeled online stream, using a model trained only on la…
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan +4
Monocular depth estimation is challenging due to its inherent ambiguity and ill-posed nature, yet it is quite important to many applications. While recent works achieve limited acc…
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
Zizhang Wu, Xinyuan Chen, Fan Song +4
Pedestrian detection under valet parking scenarios is fundamental for autonomous driving. However, the presence of pedestrians can be manifested in a variety of ways and postures u…
LineMarkNet: Line Landmark Detection for Valet Parking
Zizhang Wu, Yuanzhu Gan, Tianhao Xu +2
We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving. To this end, we present a deep lin…
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation
Zizhang Wu, Yuanzhu Gan, Tianhao Xu +1
The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved ou…
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving
Zizhang Wu, Chenxin Yuan, Hongyang Wei +2
Autonomous driving systems require many images for analyzing the surrounding environment. However, there is fewer data protection for private information among these captured image…
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan +4
The monocular depth estimation task has recently revealed encouraging prospects, especially for the autonomous driving task. To tackle the ill-posed problem of 3D geometric reasoni…
MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts
Zizhang Wu, Yuanzhu Gan, Lei Wang +2
Monocular 3D object detection reveals an economical but challenging task in autonomous driving. Recently center-based monocular methods have developed rapidly with a great trade-of…
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion
Zizhang Wu, Guilian Chen, Yuanzhu Gan +2
Multi-view radar-camera fused 3D object detection provides a farther detection range and more helpful features for autonomous driving, especially under adverse weather. The current…
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion
Zizhang Wu, Man Wang, Weiwei Sun +4
Channel and spatial attention mechanism has proven to provide an evident performance boost of deep convolution neural networks (CNNs). Most existing methods focus on one or run the…
Complete Solution for Vehicle Re-ID in Surround-view Camera System
Zizhang Wu, Tianhao Xu, Fan Wang +2
Vehicle re-identification (Re-ID) is a critical component of the autonomous driving perception system, and research in this area has accelerated in recent years. However, there is…
OCR-RTPS: An OCR-based real-time positioning system for the valet parking
Zizhang Wu, Xinyuan Chen, Jizheng Wang +4
Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving. Most existing positioning systems rely o…
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework
Zizhang Wu, Yuanzhu Gan, Xianzhi Li +4
Surround-view fisheye perception under valet parking scenes is fundamental and crucial in autonomous driving. Environmental conditions in parking lots perform differently from the…
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
Zizhang Wu, Yunzhe Wu, Jian Pu +2
Monocular 3D object detection is a low-cost but challenging task, as it requires generating accurate 3D localization solely from a single image input. Recent developed depth-assist…
Detecting Owner-member Relationship with Graph Convolution Network in Fisheye Camera System
Zizhang Wu, Jason Wang, Tianhao Xu +1
The owner-member relationship between wheels and vehicles contributes significantly to the 3D perception of vehicles, especially in embedded environments. However, to leverage this…
Temporal Transformer Networks with Self-Supervision for Action Recognition
Yongkang Zhang, Jun Li, Guoming Wu +4
In recent years, 2D Convolutional Networks-based video action recognition has encouragingly gained wide popularity; However, constrained by the lack of long-range non-linear tempor…
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras
Zizhang Wu, Wenkai Zhang, Jizheng Wang +5
The 3D visual perception for vehicles with the surround-view fisheye camera system is a critical and challenging task for low-cost urban autonomous driving. While existing monocula…
GM-MLIC: Graph Matching based Multi-Label Image Classification
Yanan Wu, He Liu, Songhe Feng +3
Multi-Label Image Classification (MLIC) aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image conten…
DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving
Zizhang Wu, Man Wang, Jason Wang +3
It's worth noting that the owner-member relationship between wheels and vehicles has an significant contribution to the 3D perception of vehicles, especially in the embedded enviro…
Vehicle Re-ID for Surround-view Camera System
Zizhang Wu, Man Wang, Lingxiao Yin +3
The vehicle re-identification (ReID) plays a critical role in the perception system of autonomous driving, which attracts more and more attention in recent years. However, to our b…
PSDet: Efficient and Universal Parking Slot Detection
Zizhang Wu, Weiwei Sun, Man Wang +3
While real-time parking slot detection plays a critical role in valet parking systems, existing methods have limited success in real-world applications. We argue two reasons accoun…
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
Zechen Liu, Zizhang Wu, Roland Tóth
Estimating 3D orientation and translation of objects is essential for infrastructure-less autonomous navigation and driving. In case of monocular vision, successful methods have be…