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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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06/15/2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Recent advancements in vision foundation models (VFMs) have opened up ne...
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06/06/2023
Towards Label-free Scene Understanding by Vision Foundation Models
Vision foundation models such as Contrastive Vision-Language Pre-trainin...
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03/30/2023
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
The robustness of 3D perception systems under natural corruptions from e...
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03/30/2023
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization
Recently, methods for neural surface representation and rendering, for e...
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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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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
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives
We investigate transductive zero-shot point cloud semantic segmentation ...
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03/20/2022
Towards 3D Scene Understanding by Referring Synthetic Models
Promising performance has been achieved for visual perception on the poi...
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09/04/2021
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
Personalized video highlight detection aims to shorten a long video to i...
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08/02/2021
Distributed Attention for Grounded Image Captioning
We study the problem of weakly supervised grounded image captioning. Tha...
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07/21/2021
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection
Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucia...
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05/28/2021
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Well-annotated medical images are costly and sometimes even impossible t...
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03/03/2020
Unsupervised Learning of Intrinsic Structural Representation Points
Learning structures of 3D shapes is a fundamental problem in the field o...
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08/23/2019
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
Marking anatomical landmarks in cephalometric radiography is a critical ...
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12/17/2018
