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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 ...
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07/26/2023
Human-centric Scene Understanding for 3D Large-scale Scenarios
Human-centric scene understanding is significant for real-world applicat...
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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...
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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...
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03/13/2023
SCPNet: Semantic Scene Completion on Point Cloud
Training deep models for semantic scene completion (SSC) is challenging ...
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03/09/2023
Rethinking Range View Representation for LiDAR Segmentation
LiDAR segmentation is crucial for autonomous driving perception. Recent ...
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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...
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01/12/2023
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
Contrastive language-image pre-training (CLIP) achieves promising result...
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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...
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08/18/2022
Mind the Gap in Distilling StyleGANs
StyleGAN family is one of the most popular Generative Adversarial Networ...
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08/04/2022
Vision-Centric BEV Perception: A Survey
Vision-centric BEV perception has recently received increased attention ...
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06/05/2022
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
This article addresses the problem of distilling knowledge from a large ...
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04/03/2022
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Accurately detecting and tracking pedestrians in 3D space is challenging...
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07/07/2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
The amount of medical images for training deep classification models is ...
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03/02/2021
Network Pruning via Resource Reallocation
Channel pruning is broadly recognized as an effective approach to obtain...
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04/11/2020
Inter-Region Affinity Distillation for Road Marking Segmentation
We study the problem of distilling knowledge from a large deep teacher n...
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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...
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05/02/2019
Agnostic Lane Detection
Lane detection is an important yet challenging task in autonomous drivin...
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11/07/2018