Search Results for author: Jia Pan

Found 28 papers, 12 papers with code

Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation

1 code implementation ACL 2022 Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

When applied to zero-shot cross-lingual abstractive summarization, it produces an average performance gain of 12. 3 ROUGE-L over mBART-ft. We conduct detailed analyses to understand the key ingredients of SixT+, including multilinguality of the auxiliary parallel data, positional disentangled encoder, and the cross-lingual transferability of its encoder.

Abstractive Text Summarization Cross-Lingual Abstractive Summarization +3

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

1 code implementation31 Mar 2022 Ke Guo, Wenxi Liu, Jia Pan

In this paper, we aim to forecast a future trajectory distribution of a moving agent in the real world, given the social scene images and historical trajectories.

High-resolution Face Swapping via Latent Semantics Disentanglement

no code implementations30 Mar 2022 Yangyang Xu, Bailin Deng, Junle Wang, Yanqing Jing, Jia Pan, Shengfeng He

Although previous research can leverage generative priors to produce high-resolution results, their quality can suffer from the entangled semantics of the latent space.

Disentanglement Face Swapping

Autofocus for Event Cameras

no code implementations23 Mar 2022 ShiJie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo, Jia Pan

Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios.

Frame

Visual-tactile sensing for Real-time liquid Volume Estimation in Grasping

no code implementations23 Feb 2022 Fan Zhu, Ruixing Jia, Lei Yang, Youcan Yan, Zheng Wang, Jia Pan, Wenping Wang

We propose a deep visuo-tactile model for realtime estimation of the liquid inside a deformable container in a proprioceptive way. We fuse two sensory modalities, i. e., the raw visual inputs from the RGB camera and the tactile cues from our specific tactile sensor without any extra sensor calibrations. The robotic system is well controlled and adjusted based on the estimation model in real time.

Multi-Task Learning

DiffSRL: Learning Dynamic-aware State Representation for Deformable Object Control with Differentiable Simulator

no code implementations24 Oct 2021 Sirui Chen, Yunhao Liu, Jialong Li, Shang Wen Yao, Tingxiang Fan, Jia Pan

We propose DiffSRL, a dynamic state representation learning pipeline utilizing differentiable simulation that can embed complex dynamics models as part of the end-to-end training.

Motion Planning Representation Learning

Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation

1 code implementation16 Oct 2021 Guanhua Chen, Shuming Ma, Yun Chen, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei

When applied to zero-shot cross-lingual abstractive summarization, it produces an average performance gain of 12. 3 ROUGE-L over mBART-ft. We conduct detailed analyses to understand the key ingredients of SixT+, including multilinguality of the auxiliary parallel data, positional disentangled encoder, and the cross-lingual transferability of its encoder.

Abstractive Text Summarization Cross-Lingual Abstractive Summarization +3

Modular Lagrangian Neural Networks: Designing Structures of Networks with Physical Inductive Biases

no code implementations29 Sep 2021 Yupu Lu, ShiJie Lin, Jia Pan

At the same time, we directly applied our trained models to predict the motion of multi-pendulum and multi-body systems, demonstrating the intriguing performance in the extrapolation of our method.

Learning Selective Communication for Multi-Agent Path Finding

1 code implementation12 Sep 2021 Ziyuan Ma, Yudong Luo, Jia Pan

Learning communication via deep reinforcement learning (RL) or imitation learning (IL) has recently been shown to be an effective way to solve Multi-Agent Path Finding (MAPF).

Decision Making Imitation Learning +1

Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping

no code implementations29 Jan 2021 Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, Chaoyang Song

This paper presents a novel design of a soft tactile finger with omni-directional adaptation using multi-channel optical fibers for rigid-soft interactive grasping.

Robotics

A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement

no code implementations25 Oct 2020 Yu-Xuan Wang, Jun Du, Li Chai, Chin-Hui Lee, Jia Pan

We propose a novel noise-aware memory-attention network (NAMAN) for regression-based speech enhancement, aiming at improving quality of enhanced speech in unseen noise conditions.

Frame Speech Enhancement

Over-crowdedness Alert! Forecasting the Future Crowd Distribution

no code implementations9 Jun 2020 Yuzhen Niu, Weifeng Shi, Wenxi Liu, Shengfeng He, Jia Pan, Antoni B. Chan

In this paper, we formulate a novel crowd analysis problem, in which we aim to predict the crowd distribution in the near future given sequential frames of a crowd video without any identity annotations.

Keyfilter-Aware Real-Time UAV Object Tracking

1 code implementation11 Mar 2020 Yiming Li, Changhong Fu, Ziyuan Huang, Yinqiang Zhang, Jia Pan

Correlation filter-based tracking has been widely applied in unmanned aerial vehicle (UAV) with high efficiency.

Frame Object Tracking +2

Rigid-Soft Interactive Learning for Robust Grasping

2 code implementations29 Feb 2020 Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song

We use soft, stuffed toys for training, instead of everyday objects, to reduce the integration complexity and computational burden and exploit such rigid-soft interaction by changing the gripper fingers to the soft ones when dealing with rigid, daily-life items such as the Yale-CMU-Berkeley (YCB) objects.

Small Data Image Classification

A Configuration-Space Decomposition Scheme for Learning-based Collision Checking

no code implementations17 Nov 2019 Yiheng Han, Wang Zhao, Jia Pan, Zipeng Ye, Ran Yi, Yong-Jin Liu

Motion planning for robots of high degrees-of-freedom (DOFs) is an important problem in robotics with sampling-based methods in configuration space C as one popular solution.

Motion Planning

Learning Resilient Behaviors for Navigation Under Uncertainty

no code implementations22 Oct 2019 Tingxiang Fan, Pinxin Long, Wenxi Liu, Jia Pan, Ruigang Yang, Dinesh Manocha

Deep reinforcement learning has great potential to acquire complex, adaptive behaviors for autonomous agents automatically.

Autonomous Driving

DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance

no code implementations4 Oct 2019 Qingyang Tan, Tingxiang Fan, Jia Pan, Dinesh Manocha

We present a novel algorithm (DeepMNavigate) for global multi-agent navigation in dense scenarios using deep reinforcement learning (DRL).

reinforcement-learning Robot Navigation

Augmented Memory for Correlation Filters in Real-Time UAV Tracking

1 code implementation24 Sep 2019 Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Jia Pan

The outstanding computational efficiency of discriminative correlation filter (DCF) fades away with various complicated improvements.

Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery

no code implementations ICCV 2019 Xiaosheng Yan, Yuanlong Yu, Feigege Wang, Wenxi Liu, Shengfeng He, Jia Pan

We conduct comparison experiments on this dataset and demonstrate that our model outperforms the state-of-the-art in tasks of recovering segmentation mask and appearance for occluded vehicles.

Robust Shape Estimation for 3D Deformable Object Manipulation

1 code implementation26 Sep 2018 Tao Han, Xuan Zhao, Peigen Sun, Jia Pan

Existing shape estimation methods for deformable object manipulation suffer from the drawbacks of being off-line, model dependent, noise-sensitive or occlusion-sensitive, and thus are not appropriate for manipulation tasks requiring high precision.

Robotics

Safe Navigation with Human Instructions in Complex Scenes

no code implementations12 Sep 2018 Zhe Hu, Jia Pan, Tingxiang Fan, Ruigang Yang, Dinesh Manocha

In this paper, we present a robotic navigation algorithm with natural language interfaces, which enables a robot to safely walk through a changing environment with moving persons by following human instructions such as "go to the restaurant and keep away from people".

Motion Planning Object Detection

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

2 code implementations28 Sep 2017 Pinxin Long, Tingxiang Fan, Xinyi Liao, Wenxi Liu, Hao Zhang, Jia Pan

We validate the learned sensor-level collision avoidance policy in a variety of simulated scenarios with thorough performance evaluations and show that the final learned policy is able to find time efficient, collision-free paths for a large-scale robot system.

reinforcement-learning

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation

no code implementations22 Sep 2016 Pinxin Long, Wenxi Liu, Jia Pan

We validate the learned deep neural network policy in a set of simulated and real scenarios with noisy measurements and demonstrate that our method is able to generate a robust navigation strategy that is insensitive to imperfect sensing and works reliably in all situations.

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