Search Results for author: Jian Pu

Found 23 papers, 9 papers with code

FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View

no code implementations5 Mar 2024 Jiawei Hou, Xiaoyan Li, Wenhao Guan, Gang Zhang, Di Feng, Yuheng Du, xiangyang xue, Jian Pu

In autonomous driving, 3D occupancy prediction outputs voxel-wise status and semantic labels for more comprehensive understandings of 3D scenes compared with traditional perception tasks, such as 3D object detection and bird's-eye view (BEV) semantic segmentation.

3D Object Detection Autonomous Driving +2

Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving

no code implementations13 Oct 2023 Feng Jiang, Chaoping Tu, Gang Zhang, Jun Li, Hanqing Huang, Junyu Lin, Di Feng, Jian Pu

LiDAR and camera are two critical sensors for multi-modal 3D semantic segmentation and are supposed to be fused efficiently and robustly to promise safety in various real-world scenarios.

3D Semantic Segmentation Autonomous Driving +1

ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation

no code implementations26 Sep 2023 Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Xiaoquan Wang, Rui Tang, Jian Pu

Monocular depth estimation is challenging due to its inherent ambiguity and ill-posed nature, yet it is quite important to many applications.

Domain Adaptation Knowledge Distillation +2

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion

1 code implementation22 Sep 2023 Yuxiang Yan, Boda Liu, Jianfei Ai, Qinbu Li, Ru Wan, Jian Pu

To address this, we introduce PointSSC, the first cooperative vehicle-infrastructure point cloud benchmark for semantic scene completion.

Point Cloud Completion Segmentation

PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving

no code implementations20 Sep 2023 Zizhang Wu, Xinyuan Chen, Fan Song, Yuanzhu Gan, Tianhao Xu, Jian Pu, Rui Tang

In this paper, wepresent the Parking Pedestrian Dataset (PPD), a large-scale fisheye dataset to support research dealing with real-world pedestrians, especially with occlusions and diverse postures.

Autonomous Driving Data Augmentation +1

LineMarkNet: Line Landmark Detection for Valet Parking

no code implementations19 Sep 2023 Zizhang Wu, Yuanzhu Gan, Tianhao Xu, Rui Tang, Jian Pu

We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving.

Autonomous Driving Line Detection +3

Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection

no code implementations19 Jun 2023 Xianhui Cheng, Shoumeng Qiu, Zhikang Zou, Jian Pu, xiangyang xue

In this paper, we propose a framework named the Adaptive Distance Interval Separation Network (ADISN) that adopts a novel perspective on understanding depth maps, as a form that lies between LiDAR and images.

Depth Estimation Monocular 3D Object Detection +1

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention

no code implementations12 May 2023 Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Yuanzhu Gan, Jian Pu, Xianzhi Li

During the refinement process, context-aware temporal attention (CTA) is developed to capture the global temporal-context correlations to maintain the feature consistency and estimation integrity of moving objects.

Autonomous Driving Monocular Depth Estimation +1

Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation

1 code implementation28 Apr 2023 Shoumeng Qiu, Feng Jiang, Haiqiang Zhang, xiangyang xue, Jian Pu

In this paper, we propose a novel multi-to-single knowledge distillation framework for the 3D point cloud semantic segmentation task to boost the performance of those hard classes.

Knowledge Distillation Semantic Segmentation

SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving

1 code implementation25 Feb 2023 Jiawei Hou, Qi Chen, Yurong Cheng, Guang Chen, xiangyang xue, Taiping Zeng, Jian Pu

However, there is a lack of underground parking scenario datasets with multiple sensors and well-labeled images that support both SLAM tasks and perception tasks, such as semantic segmentation and parking slot detection.

3D Reconstruction Autonomous Driving +4

MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion

no code implementations21 Feb 2023 Zizhang Wu, Guilian Chen, Yuanzhu Gan, Lei Wang, Jian Pu

To achieve so, we inject the semantic alignment into the radar features via the semantic-aligned radar encoder (SARE) to produce image-guided radar features.

3D Object Detection Autonomous Driving +1

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP

1 code implementation18 Oct 2022 Jie Chen, Shouzhen Chen, Mingyuan Bai, Junbin Gao, Junping Zhang, Jian Pu

Then, we introduce a novel structure-mixing knowledge distillation strategy to enhance the learning ability of MLPs for structure information.

Knowledge Distillation Node Classification

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily

1 code implementation19 Mar 2022 Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu

Moreover, we propose a simple yet effective Conv-Agnostic GNN framework (CAGNNs) to enhance the performance of most GNNs on heterophily datasets by learning the neighbor effect for each node.

Node Classification

Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination

1 code implementation1 Feb 2022 Jie Chen, Weiqi Liu, Jian Pu

Based on the homophily assumption, the current message passing always aggregates features of connected nodes, such as the graph Laplacian smoothing process.

Graph Representation Learning

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification

no code implementations28 Apr 2021 Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao

In this paper, we consider the label dependency of graph nodes and propose a decoupling attention mechanism to learn both hard and soft attention.

General Classification Graph Learning +2

SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition

1 code implementation27 Mar 2021 Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang

In this work, we propose a self-supervised gait recognition method, termed SelfGait, which takes advantage of the massive, diverse, unlabeled gait data as a pre-training process to improve the representation abilities of spatiotemporal backbones.

Gait Recognition Representation Learning

Crowd Counting with Density Adaption Networks

no code implementations26 Jun 2018 Li Wang, Weiyuan Shao, Yao Lu, Hao Ye, Jian Pu, Yingbin Zheng

Crowd counting is one of the core tasks in various surveillance applications.

Crowd Counting

tau-FPL: Tolerance-Constrained Learning in Linear Time

no code implementations15 Jan 2018 Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha

Learning a classifier with control on the false-positive rate plays a critical role in many machine learning applications.

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