Search Results for author: Jiawei Mo

Found 9 papers, 3 papers with code

Fast Sparse View Guided NeRF Update for Object Reconfigurations

no code implementations16 Mar 2024 Ziqi Lu, Jianbo Ye, Xiaohan Fei, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, Stefano Soatto

Neural Radiance Field (NeRF), as an implicit 3D scene representation, lacks inherent ability to accommodate changes made to the initial static scene.

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

no code implementations29 Feb 2024 Xiaohan Fei, Chethan Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan, Cj Taylor, Paolo Favaro, Stefano Soatto

However, the SDS method is also the source of several artifacts, such as the Janus problem, the misalignment between the text prompt and the generated 3D model, and 3D model inaccuracies.

Image Generation Text to 3D

Towards Visual Foundational Models of Physical Scenes

no code implementations6 Jun 2023 Chethan Parameshwara, Alessandro Achille, Xiaolong Li, Jiawei Mo, Matthew Trager, Ashwin Swaminathan, Cj Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto

We describe a first step towards learning general-purpose visual representations of physical scenes using only image prediction as a training criterion.

IMU-Assisted Learning of Single-View Rolling Shutter Correction

1 code implementation5 Nov 2020 Jiawei Mo, Md Jahidul Islam, Junaed Sattar

In this paper, we propose a deep neural network to predict depth and row-wise pose from a single image for rolling shutter correction.

Pose Prediction Rolling Shutter Correction

Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization

1 code implementation29 May 2019 Jiawei Mo, Junaed Sattar

This paper proposes a novel approach for extending monocular visual odometry to a stereo camera system.

Monocular Visual Odometry Stereo Matching +1

DSVO: Direct Stereo Visual Odometry

no code implementations19 Sep 2018 Jiawei Mo, Junaed Sattar

This paper proposes a novel approach to stereo visual odometry without stereo matching.

Monocular Visual Odometry Stereo Matching +1

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

no code implementations24 Jul 2018 Jiawei Mo, Junaed Sattar

SafeDrive finds lane markers in alternate imagery of the road at the vehicle's location and reconstructs a sparse 3D model of the surroundings.

Autonomous Driving Lane Detection +1

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

no code implementations29 Jan 2017 Junaed Sattar, Jiawei Mo

In scenarios where visual lane detection algorithms are unable to detect lane markers, the proposed approach uses location information of the vehicle to locate and access alternate imagery of the road and attempts detection on this secondary image.

Autonomous Driving Lane Detection +1

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