34 citations · 197 across the 45 of their papers we have counts for
8 papers · 1 filter
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
Peter Schaldenbrand, Jean Oh
The objective of most Reinforcement Learning painting agents is to minimize the loss between a target image and the paint canvas. Human painter artistry emphasizes important featur…
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving
Manoj Bhat, Jonathan Francis, Jean Oh
Effective feature-extraction is critical to models' contextual understanding, particularly for applications to robotics and autonomous driving, such as multimodal trajectory predic…
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
Ardavan Bidgoli, Manuel Ladron De Guevara, Cinnie Hsiung +2
Robotic painting has been a subject of interest among both artists and roboticists since the 1970s. Researchers and interdisciplinary artists have employed various painting techniq…
NaviGAN: A Generative Approach for Socially Compliant Navigation
Chieh-En Tsai, Jean Oh
Robots navigating in human crowds need to optimize their paths not only for their task performance but also for their compliance to social norms. One of the key challenges in this…
Image Captioning with Compositional Neural Module Networks
Junjiao Tian, Jean Oh
In image captioning where fluency is an important factor in evaluation, e.g., -gram metrics, sequential models are commonly used; however, sequential models generally result in…
Noticing Motion Patterns: Temporal CNN with a Novel Convolution Operator for Human Trajectory Prediction
Dapeng Zhao, Jean Oh
We propose a Convolutional Neural Network-based approach to learn, detect,and extract patterns in sequential trajectory data, known here as Social Pattern Extraction Convolution (S…