Challenges to Applying Virtual Reality Technology and Techniques to Visual Analytics. - Richard May 001; Pamela Arya; Doug A. Bowman; Greg S. Schmidt; Alan Sullivan (VR, 2006)

Electronic poster: parallel algorithms for high accuracy NC milling simulation. - Tyler W. Garaas; Alan Sullivan (SC Companion, 2011)

High accuracy NC milling simulation using composite adaptively sampled distance fields. - Alan Sullivan; Hüseyin Erdim; Ronald N. Perry; Sarah F. Frisken (Comput. Aided Des., 2012)

Deformable Part Networks. - Ziming Zhang; Rongmei Lin; Alan Sullivan (CoRR, 2018)

Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks. - Teng-Yok Lee; Jeroen van Baar; Kent Wittenburg; Alan Sullivan (CVPR Workshops, 2019)

Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation. - Yuanwei Wu; Tim K. Marks; Anoop Cherian; Siheng Chen; Chen Feng 002; Guanghui Wang 001; Alan Sullivan (ICCV Workshops, 2019)

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. - Jeroen van Baar; Alan Sullivan; Radu Cordorel; Devesh K. Jha; Diego Romeres; Daniel Nikovski (ICRA, 2019)

Sem-GAN: Semantically-Consistent Image-to-Image Translation. - Anoop Cherian; Alan Sullivan (WACV, 2019)

Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. - Ziming Zhang; Anil Kag; Alan Sullivan; Venkatesh Saligrama (CoRR, 2019)

Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network. - Esra Ataer Cansizoglu; Michael Jones; Ziming Zhang; Alan Sullivan (CoRR, 2019)

Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. - Wenju Xu; Guanghui Wang 001; Alan Sullivan; Ziming Zhang (WACV, 2020)

Towards Human-Level Learning of Complex Physical Puzzles. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (CoRR, 2020)

InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images. - Anoop Cherian; Gonçalo Dias Pais; Siddarth Jain; Tim K. Marks; Alan Sullivan (ICCV, 2021)

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (IEEE Robotics Autom. Lett., 2021)

PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences. - Jun Wang 090; Xiaolong Li; Alan Sullivan; A. Lynn Abbott; Siheng Chen (CVPR Workshops, 2022)

Discriminative 3D Shape Modeling for Few-Shot Instance Segmentation. - Anoop Cherian; Siddarth Jain; Tim K. Marks; Alan Sullivan (ICRA, 2023)

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. - Kei Ota; Hsiao-Yu Tung; Kevin A. Smith 001; Anoop Cherian; Tim K. Marks; Alan Sullivan; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2023)