research
∙
08/29/2023
Evaluation and Analysis of Hallucination in Large Vision-Language Models
Large Vision-Language Models (LVLMs) have recently achieved remarkable s...
share
research
∙
08/19/2023
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing
The neural rendering of humans is a topic of great research significance...
research
∙
08/18/2023
Overlap Bias Matching is Necessary for Point Cloud Registration
Point cloud registration is a fundamental problem in many domains. Pract...
research
∙
05/16/2023
Contrastive Label Enhancement
Label distribution learning (LDL) is a new machine learning paradigm for...
research
∙
05/16/2023
DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
Point cloud completion estimates complete shapes from incomplete point c...
research
∙
04/27/2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Large language models (LLMs) have demonstrated impressive zero-shot abil...
research
∙
03/08/2023
Semantically Consistent Multi-view Representation Learning
In this work, we devote ourselves to the challenging task of Unsupervise...
research
∙
02/28/2023
Multi-view Semantic Consistency based Information Bottleneck for Clustering
Multi-view clustering can make use of multi-source information for unsup...
research
∙
02/26/2023
MCoCo: Multi-level Consistency Collaborative Multi-view Clustering
Multi-view clustering can explore consistent information from different ...
research
∙
09/26/2022
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects
Leveraging multi-modal fusion, especially between camera and LiDAR, has ...
research
∙
07/19/2022
What Matters for 3D Scene Flow Network
3D scene flow estimation from point clouds is a low-level 3D motion perc...
research
∙
07/08/2022
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera
With information from multiple input modalities, sensor fusion-based alg...
research
∙
03/17/2022
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection
While numerous 3D detection works leverage the complementary relationshi...
research
∙
07/23/2021
Automatic Construction of Lane-level HD Maps for Urban Scenes
High definition (HD) maps have demonstrated their essential roles in ena...
research
∙
03/06/2021
A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
Detecting dynamic objects and predicting static road information such as...
research
∙
12/18/2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
The availability of many real-world driving datasets is a key reason beh...
research
∙
03/07/2020
Inferring Spatial Uncertainty in Object Detection
The availability of real-world datasets is the prerequisite to develop o...
research
∙
12/19/2019
