1 citations · 1 across the 6 of their papers we have counts for
7 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…
OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference
Won-Seok Choi, Dong-Sig Han, Suhyung Choi +2
We present the Object-Based Sub-Environment Recognition (OBSER) framework, a novel Bayesian framework that infers three fundamental relationships between sub-environments and their…
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…
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Won-Seok Choi, Hyundo Lee, Dong-Sig Han +3
Recent machine learning algorithms have been developed using well-curated datasets, which often require substantial cost and resources. On the other hand, the direct use of raw dat…
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object
Hyunseo Kim, Hye Jung Yoon, Minji Kim +2
Current robotic hand manipulation narrowly operates with objects in predictable positions in limited environments. Thus, when the location of the target object deviates severely fr…
DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning
Won-Seok Choi, Dong-Sig Han, Hyundo Lee +2
In Self-Supervised Learning (SSL), it is known that frequent occurrences of the collision in which target data and its negative samples share the same class can decrease performanc…
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Dong-Sig Han, Hyunseo Kim, Hyundo Lee +2
Recently, adversarial imitation learning has shown a scalable reward acquisition method for inverse reinforcement learning (IRL) problems. However, estimated reward signals often b…