Explanipedia

Integrated Physiological and Transcriptomic Studies on the Effects of Melatonin on Carotenoid Biosynthesis in Chlamydomonas Reinhardtii Under Chromium Stress Open

Meilin Yan, Jiawei Mo, Can Huang, Jianing Li, Xiangyu Yao , et al. · 2025

MoChat: Joints-Grouped Spatio-Temporal Grounding LLM for Multi-Turn Motion Comprehension and Description Open

Jiawei Mo, Yixuan Chen, Rifen Lin, Yaodong Ni, Min Zeng , et al. · 2024

Despite continuous advancements in deep learning for understanding human motion, existing models often struggle to accurately identify action timing and specific body parts, typically supporting only single-round interaction. Such limitati…

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model Open

Xiaolong Li, Jiawei Mo, Ying Wang, Chethan M. Parameshwara, Xiaohan Fei , et al. · 2024

In this paper, we propose an effective two-stage approach named Grounded-Dreamer to generate 3D assets that can accurately follow complex, compositional text prompts while achieving high fidelity by using a pre-trained multi-view diffusion…

Fast Sparse View Guided NeRF Update for Object Reconfigurations Open

Ziqi Lu, Jianbo Ye, Xiaohan Fei, Xiaolong Li, Jiawei Mo , et al. · 2024

Neural Radiance Field (NeRF), as an implicit 3D scene representation, lacks inherent ability to accommodate changes made to the initial static scene. If objects are reconfigured, it is difficult to update the NeRF to reflect the new state …

A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D Open

Xiaohan Fei, Chethan M. Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan , et al. · 2024

The development of generative models that create 3D content from a text prompt has made considerable strides thanks to the use of the score distillation sampling (SDS) method on pre-trained diffusion models for image generation. However, t…

Towards Visual Foundational Models of Physical Scenes Open

Chethan M. Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo , et al. · 2023

We describe a first step towards learning general-purpose visual representations of physical scenes using only image prediction as a training criterion. To do so, we first define "physical scene" and show that, even though different agents…

Double Cross-Linking and Mos2 Intercalation Modified Go Membrane: Toward High Stability and High Permeability Open

Jiawei Mo, Shuai Wang, Fei Xie, Shanshan Liang, Xiaohua Ma · 2022

A Novel Clover-Like Cofs Membrane Fabricated Via One-Step Interfacial Polymerization for Dye/Salt Separation Open

Yin‐Xin Fang, Yufei Lin, Zhen‐Liang Xu, Jiawei Mo, Pingping Li · 2022

Fast Direct Stereo Visual SLAM Open

Jiawei Mo, Md Jahidul Islam, Junaed Sattar · 2021

We propose a novel approach for fast and accurate stereo visual Simultaneous Localization and Mapping (SLAM) independent of feature detection and matching. We extend monocular Direct Sparse Odometry (DSO) to a stereo system by optimizing t…

Continuous-Time Spline Visual-Inertial Odometry Open

Jiawei Mo, Junaed Sattar · 2021

We propose a continuous-time spline-based formulation for visual-inertial odometry (VIO). Specifically, we model the poses as a cubic spline, whose temporal derivatives are used to synthesize linear acceleration and angular velocity, which…

Robot-to-robot relative pose estimation using humans as markers Open

Jahidul Islam, Jiawei Mo, Junaed Sattar · 2021

IMU-Assisted Learning of Single-View Rolling Shutter Correction Open

Jiawei Mo, Jahidul Islam, Junaed Sattar · 2020

Rolling shutter distortion is highly undesirable for photography and computer vision algorithms (e.g., visual SLAM) because pixels can be potentially captured at different times and poses. In this paper, we propose a deep neural network to…

Learning Rolling Shutter Correction from Real Data without Camera Motion Assumption. Open

Jiawei Mo, Jahidul Islam, Junaed Sattar · 2020

The rolling shutter mechanism in modern cameras generates distortions as the images are formed on the sensor through a row-by-row readout process; this is highly undesirable for photography and vision-based algorithms (e.g., structure-from…

Design and Experiments with LoCO AUV: A Low Cost Open-Source Autonomous Underwater Vehicle Open

Chelsey Edge, Sadman Sakib Enan, Michael Fulton, Jungseok Hong, Jiawei Mo , et al. · 2020

In this paper we present LoCO AUV, a Low-Cost, Open Autonomous Underwater Vehicle. LoCO is a general-purpose, single-person-deployable, vision-guided AUV, rated to a depth of 100 meters. We discuss the open and expandable design of this un…

Design and Experiments with LoCO AUV: A Low Cost Open-Source Autonomous\n Underwater Vehicle Open

Chelsey Edge, Sadman Sakib Enan, Michael H. Fulton, Jungseok Hong, Jiawei Mo , et al. · 2020

In this paper we present LoCO AUV, a Low-Cost, Open Autonomous Underwater\nVehicle. LoCO is a general-purpose, single-person-deployable, vision-guided\nAUV, rated to a depth of 100 meters. We discuss the open and expandable design\nof this…

A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR Descriptors Open

Jiawei Mo, Junaed Sattar · 2019

Place recognition is a core component of Simultaneous Localization and Mapping (SLAM) algorithms. Particularly in visual SLAM systems, previously-visited places are recognized by measuring the appearance similarity between images represent…

Place Recognition for Stereo Visual Odometry using LiDAR Descriptors Open

Jiawei Mo, Junaed Sattar · 2019

Place recognition is a core component of Simultaneous Localization and Mapping (SLAM) algorithms. Particularly in visual SLAM systems, previously-visited places are recognized by measuring the appearance similarity between images represent…

Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization Open

Jiawei Mo, Junaed Sattar · 2019

This paper proposes a novel approach for extending monocular visual odometry to a stereo camera system. The proposed method uses an additional camera to accurately estimate and optimize the scale of the monocular visual odometry, rather th…

Improving security and stability of ad hoc on-demand distance vector with fuzzy neural network in vehicular ad hoc network Open

Jiawei Mo, Baohua Huang, Xiaolu Cheng, Caixia Huang, Wei Feng · 2018

Stability and security are the key directions of VANET (vehicular ad hoc network) research. In order to solve the related problems in VANET, an improved AODV (ad hoc on-demand distance vector) routing protocol based on fuzzy neural network…

DSVO: Direct Stereo Visual Odometry Open

Jiawei Mo, Junaed Sattar · 2018

This paper proposes a novel approach to stereo visual odometry without stereo matching. It is particularly robust in scenes of repetitive high-frequency textures. Referred to as DSVO (Direct Stereo Visual Odometry), it operates directly on…

Enhancing negative messages broadcasting with Meet-Table and TTL in VANET Open

Xiaolu Cheng, Jiawei Mo, Baohua Huang · 2018

In VANET (vehicular ad hoc network), a negative message has an objective vehicle and describes the negative attributes of the vehicle. Broadcasting negative messages in VANET is essential to make the VANET secure for these messages are abo…

SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility Open

Jiawei Mo, Junaed Sattar · 2018

Autonomous detection of lane markers improves road safety, and purely visual tracking is desirable for widespread vehicle compatibility and reducing sensor intrusion, cost, and energy consumption. However, visual approaches are often ineff…

SafeDrive: A Robust Lane Tracking System for Autonomous and Assisted Driving Under Limited Visibility Open

Junaed Sattar, Jiawei Mo · 2017

We present an approach towards robust lane tracking for assisted and autonomous driving, particularly under poor visibility. Autonomous detection of lane markers improves road safety, and purely visual tracking is desirable for widespread …

Jiawei Mo YOU? Author Swipe