8 citations · 12 across the 6 of their papers we have counts for
6 papers
DyGeoVLN: Infusing Dynamic Geometry Foundation Model into Vision-Language Navigation
Xiangchen Liu, Hanghan Zheng, Jeil Jeong +5
Vision-language Navigation (VLN) requires an agent to understand visual observations and language instructions to navigate in unseen environments. Most existing approaches rely on…
Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators
Minsung Yoon, Mincheul Kang, Daehyung Park +1
Trajectory optimization (TO) is an efficient tool to generate a redundant manipulator's joint trajectory following a 6-dimensional Cartesian path. The optimization performance larg…
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising
Kyu Beom Han, Olivia G. Odenthal, Woo Jae Kim +1
Auxiliary features such as geometric buffers (G-buffers) and path descriptors (P-buffers) have been shown to significantly improve Monte Carlo (MC) denoising. However, recent appro…
Take a Prior from Other Tasks for Severe Blur Removal
Pei Wang, Danna Xue, Yu Zhu +4
Recovering clear structures from severely blurry inputs is a challenging problem due to the large movements between the camera and the scene. Although some works apply segmentation…
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee, Woobin Im, Sebin Lee +1
In this paper, we learn a diffusion model to generate 3D data on a scene-scale. Specifically, our model crafts a 3D scene consisting of multiple objects, while recent diffusion res…
Semi-Supervised Learning of Optical Flow by Flow Supervisor
Woobin Im, Sebin Lee, Sung-Eui Yoon
A training pipeline for optical flow CNNs consists of a pretraining stage on a synthetic dataset followed by a fine tuning stage on a target dataset. However, obtaining ground trut…