Alan Sullivan

According to our database, Alan Sullivan authored at least 17 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.

Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Discriminative 3D Shape Modeling for Few-Shot Instance Segmentation.

Anoop Cherian, Siddarth Jain, Tim K. Marks, Alan Sullivan

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences.

Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

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, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum

IEEE Robotics Autom. Lett., 2021

InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images.

Anoop Cherian, Goncalo Dias Pais, Siddarth Jain, Tim K. Marks, Alan Sullivan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Human-Level Learning of Complex Physical Puzzles.

Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum

CoRR, 2020

Towards Learning Affine-Invariant Representations via Data-Efficient CNNs.

Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

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

Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability.

Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama

CoRR, 2019

Sem-GAN: Semantically-Consistent Image-to-Image Translation.

Anoop Cherian, Alan Sullivan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

Proceedings of the International Conference on Robotics and Automation, 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, Guanghui Wang, Alan Sullivan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks.

Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Alan Sullivan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Deformable Part Networks.

Ziming Zhang, Rongmei Lin, Alan Sullivan

CoRR, 2018

2012

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

2011

Electronic poster: parallel algorithms for high accuracy NC milling simulation.

Tyler W. Garaas, Alan Sullivan

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

2006

Challenges to Applying Virtual Reality Technology and Techniques to Visual Analytics.

Richard May, Pamela Arya, Doug A. Bowman, Greg S. Schmidt, Alan Sullivan

Proceedings of the IEEE Virtual Reality Conference, 2006