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Found 13 papers, 7 papers with code
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
We introduce MMMU: a new benchmark designed to evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge and deliberate reasoning.
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation: Technical Report for ICCV 2023 OmniObject3D Challenge
To resolve this problem, we study learning effective NeRFs and SDFs representations with 3D Generative Adversarial Networks (GANs) for 3D object generation.
MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving
This set-level latent code is an expression of the optimal 3D shape in the implicit space, and can be subsequently decoded to a continuous SDF of the vehicle.
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration
However, most evolving registration methods cannot tackle the local optimum well and they have rarely investigated the success ratio, which implies the probability of not falling into local optima and is closely related to the practicality of the algorithm.
Occlusion-Resistant LiDAR Fiducial Marker Detection
The LiDAR fiducial marker, akin to the well-known AprilTag used in camera applications, serves as a convenient resource to impart artificial features to the LiDAR sensor, facilitating robotics applications.
Endowing Language Models with Multimodal Knowledge Graph Representations
We use the recently released VisualSem KG as our external knowledge repository, which covers a subset of Wikipedia and WordNet entities, and compare a mix of tuple-based and graph-based algorithms to learn entity and relation representations that are grounded on the KG multimodal information.
Multilingual Named Entity Recognition
named-entity-recognition
+2
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism
The modeling of multi-view point cloud registration as multi-task optimization are twofold.
Intensity Image-based LiDAR Fiducial Marker System
In this paper, an Intensity Image-based LiDAR Fiducial Marker (IILFM) system is developed.
Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning
There is a risk of collision when multiple UAVs land simultaneously without communication on the same platform.
Application of Ghost-DeblurGAN to Fiducial Marker Detection
Feature extraction or localization based on the fiducial marker could fail due to motion blur in real-world robotic applications.
Ranked #43 on
Deblurring
on GoPro
Table2Charts: Recommending Charts by Learning Shared Table Representations
It is common for people to create different types of charts to explore a multi-dimensional dataset (table).
VisualSem: A High-quality Knowledge Graph for Vision and Language
We also release a neural multi-modal retrieval model that can use images or sentences as inputs and retrieves entities in the KG.
2D-CTC for Scene Text Recognition
Scene text recognition has been an important, active research topic in computer vision for years.
