Joanne Taery Kim

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Optimization Algorithm

Scene Segmentation

Medical Records

Mathematical Knowledge

Top Venues

Publications

Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha
How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. HRI (Companion) (2023)
Joanne Taery Kim, Wenhao Yu, Yash Kothari, Jie Tan, Greg Turk, Sehoon Ha
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRR (2023)
Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRL (2023)
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CoRR (2021)
Joanne Taery Kim, Mikel Landajuela Larma, Brenden K. Petersen
Distilling Wikipedia mathematical knowledge into neural network models. CoRR (2021)
Joanne Taery Kim, Sehoon Ha
Observation Space Matters: Benchmark and Optimization Algorithm. ICRA (2021)
Brenden K. Petersen, Mikel Landajuela Larma, T. Nathan Mundhenk, Cláudio Prata Santiago, Sookyung Kim, Joanne Taery Kim
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients. ICLR (2021)
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CVPR (2021)
Joanne Taery Kim, Jeongeun Park, Sungjoon Choi, Sehoon Ha
Learning Robot Structure and Motion Embeddings using Graph Neural Networks. CoRR (2021)
Joanne Taery Kim, Sehoon Ha
Observation Space Matters: Benchmark and Optimization Algorithm. CoRR (2020)
Joanne Taery Kim, Sookyung Kim, Brenden K. Petersen
An Interactive Visualization Platform for Deep Symbolic Regression. IJCAI (2020)
Sungha Choi, Joanne Taery Kim, Jaegul Choo
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. CVPR (2020)
Sungha Choi, Joanne Taery Kim, Jaegul Choo
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks. CoRR (2020)
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. CoRR (2018)