Yuenan Hou | DeepAI

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∙ 09/11/2023

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase

Point-, voxel-, and range-views are three representative forms of point ...

0 Youquan Liu, et al. ∙

∙ 07/26/2023

Human-centric Scene Understanding for 3D Large-scale Scenarios

Human-centric scene understanding is significant for real-world applicat...

0 Yiteng Xu, et al. ∙

∙ 07/20/2023

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data

Zero-shot point cloud segmentation aims to make deep models capable of r...

0 Yuhang Lu, et al. ∙

∙ 05/10/2023

Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification

Clothes-invariant feature extraction is critical to the clothes-changing...

0 Xulin Li, et al. ∙

∙ 03/13/2023

SCPNet: Semantic Scene Completion on Point Cloud

Training deep models for semantic scene completion (SSC) is challenging ...

0 Zhaoyang Xia, et al. ∙

∙ 03/09/2023

Rethinking Range View Representation for LiDAR Segmentation

LiDAR segmentation is crucial for autonomous driving perception. Recent ...

0 Lingdong Kong, et al. ∙

∙ 03/07/2023

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

LiDAR-camera fusion methods have shown impressive performance in 3D obje...

0 Xin Li, et al. ∙

∙ 01/12/2023

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP

Contrastive language-image pre-training (CLIP) achieves promising result...

0 Runnan Chen, et al. ∙

∙ 10/18/2022

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

Multi-modal 3D object detection has been an active research topic in aut...

0 Xin Li, et al. ∙

∙ 08/18/2022

Mind the Gap in Distilling StyleGANs

StyleGAN family is one of the most popular Generative Adversarial Networ...

9 Guodong Xu, et al. ∙

∙ 08/04/2022

Vision-Centric BEV Perception: A Survey

Vision-centric BEV perception has recently received increased attention ...

10 Yuexin Ma, et al. ∙

∙ 06/05/2022

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

This article addresses the problem of distilling knowledge from a large ...

0 Yuenan Hou, et al. ∙

∙ 04/03/2022

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Accurately detecting and tracking pedestrians in 3D space is challenging...

13 Peishan Cong, et al. ∙

∙ 07/07/2021

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

The amount of medical images for training deep classification models is ...

0 Xiaohan Xing, et al. ∙

∙ 03/02/2021

Network Pruning via Resource Reallocation

Channel pruning is broadly recognized as an effective approach to obtain...

9 Yuenan Hou, et al. ∙

∙ 04/11/2020

Inter-Region Affinity Distillation for Road Marking Segmentation

We study the problem of distilling knowledge from a large deep teacher n...

7 Yuenan Hou, et al. ∙

∙ 08/02/2019

Learning Lightweight Lane Detection CNNs by Self Attention Distillation

Training deep models for lane detection is challenging due to the very s...

4 Yuenan Hou, et al. ∙

∙ 05/02/2019

Agnostic Lane Detection

Lane detection is an important yet challenging task in autonomous drivin...

1 Yuenan Hou, et al. ∙

∙ 11/07/2018

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

The training of many existing end-to-end steering angle prediction model...

5 Yuenan Hou, et al. ∙

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