Junbang Liang

According to our database, Junbang Liang authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation.

Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick

CoRR, 2024

PaperBot: Learning to Design Real-World Tools Using Paper.

Ruoshi Liu, Junbang Liang, Sruthi Sudhakar, Huy Ha, Cheng Chi, Shuran Song, Carl Vondrick

CoRR, 2024

SHARE: Single-view Human Adversarial REconstruction.

Shreelekha Revankar, Shijia Liao, Yu Shen, Junbang Liang, Huaishu Peng, Ming C. Lin

CoRR, 2024

Multi-Layer, Sensorized Kirigami Grippers for Delicate Yet Robust Robot Grasping and Single-Grasp Object Identification.

Joao Buzzatto, Haodan Jiang, Junbang Liang, Bryan Busby, Angus Lynch, Ricardo V. Godoy, Saori Matsunaga, Rintaro Haraguchi, Toshisada Mariyama, Bruce A. MacDonald, Minas V. Liarokapis

IEEE Access, 2024

ViLA: Efficient Video-Language Alignment for Video Question Answering.

Xijun Wang, Junbang Liang, Chun-Kai Wang, Kenan Deng, Yu Lou, Ming C. Lin, Shan Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

ICAR: Image-Based Complementary Auto Reasoning.

Xijun Wang, Anqi Liang, Junbang Liang, Ming C. Lin, Yu Lou, Shan Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

VLAP: Efficient Video-Language Alignment via Frame Prompting and Distilling for Video Question Answering.

Xijun Wang, Junbang Liang, Chun-Kai Wang, Kenan Deng, Yu Lou, Ming C. Lin, Shan Yang

CoRR, 2023

MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation.

Muhammad Osama Khan, Junbang Liang, Chun-Kai Wang, Shan Yang, Yu Lou

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

A Tailsitter UAV Based on Bioinspired, Tendon-Driven, Shape-Morphing Wings with Aerofoil-Shaped Artificial Feathers.

Junbang Liang, Joao Buzzatto, Minas V. Liarokapis

IROS, 2023

Employing Multi-Layer, Sensorised Kirigami Grippers for Single-Grasp Based Identification of Objects and Force Exertion Estimation.

Junbang Liang, Joao Buzzatto, Bryan Busby, Ricardo V. Godoy, Saori Matsunaga, Rintaro Haraguchi, Toshisada Mariyama, Bruce A. MacDonald, Minas V. Liarokapis

IROS, 2023

A Soft, Multi-Layer, Kirigami Inspired Robotic Gripper with a Compact, Compression-Based Actuation System.

Joao Buzzatto, Junbang Liang, Mojtaba Shahmohammadi, Saori Matsunaga, Rintaro Haraguchi, Toshisada Mariyama, Bruce A. MacDonald, Minas V. Liarokapis

IROS, 2023

2022

An Adaptive, Reconfigurable, Tethered Aerial Grasping System for Reliable Caging and Transportation of Packages.

Shaoqian Lin, Joao Buzzatto, Junbang Liang, Minas V. Liarokapis

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Mechanically Programmable Jamming Based on Articulated Mesh Structures for Variable Stiffness Robots.

Geng Gao, Junbang Liang, Minas V. Liarokapis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Soft, Multi-Layer, Disposable, Kirigami Based Robotic Grippers: On Handling of Delicate, Contaminated, and Everyday Objects.

Joao Buzzatto, Mojtaba Shahmohammadi, Junbang Liang, Felipe Sanches, Saori Matsunaga, Rintaro Haraguchi, Toshisada Mariyama, Bruce A. MacDonald, Minas V. Liarokapis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fabric Material Recovery from Video Using Multi-scale Geometric Auto-Encoder.

Junbang Liang, Ming C. Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Dynamics-Inspired Garment Reconstruction and Synthesis for Simulation-Based Virtual Try-On.

Junbang Liang

PhD thesis, 2021

Machine learning for digital try-on: Challenges and progress.

Junbang Liang, Ming C. Lin

Comput. Vis. Media, 2021

Differentiable Simulation of Soft Multi-body Systems.

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Differentiable Simulation of Articulated Bodies.

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

Differentiable Fluids with Solid Coupling for Learning and Control.

Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Scalable Differentiable Physics for Learning and Control.

Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

GAN-Based Garment Generation Using Sewing Pattern Images.

Yu Shen, Junbang Liang, Ming C. Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Differentiable Cloth Simulation for Inverse Problems.

Junbang Liang, Ming C. Lin, Vladlen Koltun

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images.

Junbang Liang, Ming C. Lin

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

2018

Time-Domain Parallelization for Accelerating Cloth Simulation.

Junbang Liang, Ming C. Lin

Comput. Graph. Forum, 2018

2017

Learning-Based Cloth Material Recovery from Video.

Shan Yang, Junbang Liang, Ming C. Lin

Proceedings of the IEEE International Conference on Computer Vision, 2017