research
∙
09/20/2023
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding
Charts are common in literature across different scientific fields, conv...
share
research
∙
09/19/2023
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving
Annotating 3D LiDAR point clouds for perception tasks including 3D objec...
research
∙
09/11/2023
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Domain shifts such as sensor type changes and geographical situation var...
research
∙
08/24/2023
TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search
Digital twins for intelligent transportation systems are currently attra...
research
∙
07/14/2023
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
In this paper, we explore the potential of using a large language model ...
research
∙
06/09/2023
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Existing offboard 3D detectors always follow a modular pipeline design t...
research
∙
06/08/2023
StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views
We present a novel multi-view implicit surface reconstruction technique,...
research
∙
06/01/2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
It is a long-term vision for Autonomous Driving (AD) community that the ...
research
∙
05/16/2023
SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification
Although Domain Generalization (DG) problem has been fast-growing in the...
research
∙
03/13/2023
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
Current 3D object detection models follow a single dataset-specific trai...
research
∙
03/10/2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D c...
research
∙
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...
research
∙
12/20/2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
State-of-the-art 3D semantic segmentation models are trained on the off-...
research
∙
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...
research
∙
07/02/2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Few-shot fine-grained learning aims to classify a query image into one o...
research
∙
05/02/2020
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos
Procedural knowledge, which we define as concrete information about the ...
research
∙
02/15/2020