Alan Sullivan

22 papers A* 5A 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A* conf
Discriminative 3D Shape Modeling for Few-Shot Instance Segmentation.
ICRA
Anoop Cherian, Siddarth Jain, Tim K. Marks, Alan Sullivan
2023 A* conf
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.
ICRA
Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
2022 J jnl
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.
CoRR
Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
2022 — conf
PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences.
CVPR Workshops
Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen
2021 J jnl
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.
IEEE Robotics Autom. Lett.
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2021 A* conf
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images.
ICCV
Anoop Cherian, Gonçalo Dias Pais, Siddarth Jain, Tim K. Marks, Alan Sullivan
2021 J jnl
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images.
CoRR
Anoop Cherian, Gonçalo Dias Pais, Siddarth Jain, Tim K. Marks, Alan Sullivan
2020 J jnl
Towards Human-Level Learning of Complex Physical Puzzles.
CoRR
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2020 A conf
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs.
WACV
Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang
2019 — conf
Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks.
CVPR Workshops
Teng-Yok Lee, Jeroen van Baar, Kent Wittenburg, Alan Sullivan
2019 J jnl
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability.
CoRR
Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
2019 A conf
Sem-GAN: Semantically-Consistent Image-to-Image Translation.
WACV
Anoop Cherian, Alan Sullivan
2019 A* conf
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.
ICRA
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2019 J jnl
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs.
CoRR
Wenju Xu, Guanghui Wang, Alan Sullivan, Ziming Zhang
2019 — conf
Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation.
ICCV Workshops
Yuanwei Wu, Tim K. Marks, Anoop Cherian, Siheng Chen, Chen Feng, Guanghui Wang, Alan Sullivan
2019 J jnl
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network.
CoRR
Esra Ataer Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan
2018 J jnl
Deformable Part Networks.
CoRR
Ziming Zhang, Rongmei Lin, Alan Sullivan
2018 J jnl
Sem-GAN: Semantically-Consistent Image-to-Image Translation.
CoRR
Anoop Cherian, Alan Sullivan
2018 J jnl
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.
CoRR
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2012 J jnl
High accuracy NC milling simulation using composite adaptively sampled distance fields.
Comput. Aided Des.
Alan Sullivan, Hüseyin Erdim, Ronald N. Perry, Sarah F. Frisken
2011 — conf
Electronic poster: parallel algorithms for high accuracy NC milling simulation.
SC Companion
Tyler W. Garaas, Alan Sullivan
2006 A* conf
Challenges to Applying Virtual Reality Technology and Techniques to Visual Analytics.
VR
Richard May, Pamela Arya, Doug A. Bowman, Greg S. Schmidt, Alan Sullivan