5 citations · 8 across the 6 of their papers we have counts for
7 papers
SONIC: Spectral Optimization of Noise for Inpainting with Consistency
Seungyeon Baek, Erqun Dong, Shadan Namazifard +2
We propose a novel training-free method for inpainting with off-the-shelf text-to-image models. While guidance-based methods in theory allow generic models to be used for inverse p…
ROODI: Reconstructing Occluded Objects with Denoising Inpainters
Yeonjin Chang, Erqun Dong, Seunghyeon Seo +2
While the quality of novel-view images has improved dramatically with 3D Gaussian Splatting, extracting specific objects from scenes remains challenging. Isolating individual 3D Ga…
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
Jeong-gi Kwak, Erqun Dong, Yuhe Jin +3
Generating novel views of an object from a single image is a challenging task. It requires an understanding of the underlying 3D structure of the object from an image and rendering…
Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni +2
We investigate a new paradigm that uses differentiable SLAM architectures in a self-supervised manner to train end-to-end deep learning models in various LiDAR based applications.…
Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion
Erqun Dong, Sheroze Sheriffdeen, Shichao Yang +6
Robust, high-precision global localization is fundamental to a wide range of outdoor robotics applications. Conventional fusion methods use low-accuracy pseudorange based GNSS meas…
SPENDER: A Platform for Secure and Privacy-Preserving Decentralized P2P E-Commerce
Shuhao Zheng, Junliang Luo, Erqun Dong +2
The blockchain technology empowers secure, trustless, and privacy-preserving trading with cryptocurrencies. However, existing blockchain-based trading platforms only support tradin…
Generalized Data Weighting via Class-level Gradient Manipulation
Can Chen, Shuhao Zheng, Xi Chen +4
Label noise and class imbalance are two major issues coexisting in real-world datasets. To alleviate the two issues, state-of-the-art methods reweight each instance by leveraging a…