1 citations · 1 across the 8 of their papers we have counts for
8 papers
Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis
Jaein Kim, Hee Bin Yoo, Dong-Sig Han +1
A symmetry on rigid motion is one of the salient factors in efficient learning of 3D point cloud problems. Group convolution has been a representative method to extract equivariant…
Voronoi-based Second-order Descriptor with Whitened Metric in LiDAR Place Recognition
Jaein Kim, Hee Bin Yoo, Dong-Sig Han +1
The pooling layer plays a vital role in aggregating local descriptors into the metrizable global descriptor in the LiDAR Place Recognition (LPR). In particular, the second-order po…
DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting
Yeon-Ji Song, Jaein Kim, Byung-Ju Kim +1
Novel view synthesis is a task of generating scenes from unseen perspectives; however, synthesizing dynamic scenes from blurry monocular videos remains an unresolved challenge that…
Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge
Dong-Sig Han, Jaein Kim, Hee Bin Yoo +1
The Schrödinger bridge (SB) has evolved into a universal class of probabilistic generative models. In practice, however, estimated learning signals are innately uncertain, and the…
OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics
Yeon-Ji Song, Jaein Kim, Suhyung Choi +2
Human perception involves decomposing complex multi-object scenes into time-static object appearance (i.e., size, shape, color) and time-varying object motion (i.e., position, velo…
PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
Junghyun Kim, Gi-Cheon Kang, Jaein Kim +3
Language-Conditioned Robotic Grasping (LCRG) aims to develop robots that comprehend and grasp objects based on natural language instructions. While the ability to understand person…
PROGrasp: Pragmatic Human-Robot Communication for Object Grasping
Gi-Cheon Kang, Junghyun Kim, Jaein Kim +1
Interactive Object Grasping (IOG) is the task of identifying and grasping the desired object via human-robot natural language interaction. Current IOG systems assume that a human u…
GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation
Junghyun Kim, Gi-Cheon Kang, Jaein Kim +2
Language-Guided Robotic Manipulation (LGRM) is a challenging task as it requires a robot to understand human instructions to manipulate everyday objects. Recent approaches in LGRM…