Search Results for author: Zexi Chen

Found 15 papers, 8 papers with code

Leveraging Large Language Models in Conversational Recommender Systems

no code implementations13 May 2023 Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari

A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time multi-turn dialogue.

Common Sense Reasoning Dialogue Management +3

DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration

no code implementations12 Jun 2022 Zexi Chen, Yiyi Liao, Haozhe Du, Haodong Zhang, Xuecheng Xu, Haojian Lu, Rong Xiong, Yue Wang

Next, the rotation, scale, and translation are independently and efficiently estimated in the spectrum step-by-step using the DPC solver.


Learning Interpretable BEV Based VIO without Deep Neural Networks

no code implementations25 Sep 2021 Zexi Chen, Haozhe Du, Xuecheng Xu, Rong Xiong, Yiyi Liao, Yue Wang

Specifically, we first adopt Unscented Kalman Filter as a differentiable layer to predict the pitch and roll, where the covariance matrices of noise are learned to filter out the noise of the IMU raw data.

Autonomous Driving Pose Estimation

Domain Generalization for Vision-based Driving Trajectory Generation

1 code implementation22 Sep 2021 Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang

In this paper, we propose a domain generalization method for vision-based driving trajectory generation for autonomous vehicles in urban environments, which can be seen as a solution to extend the Invariant Risk Minimization (IRM) method in complex problems.

Autonomous Vehicles Domain Generalization

Learn to Differ: Sim2Real Small Defection Segmentation Network

1 code implementation7 Mar 2021 Zexi Chen, Zheyuan Huang, Yunkai Wang, Xuecheng Xu, Yue Wang, Rong Xiong

In this paper, we propose the network SSDS that learns a way of distinguishing small defections between two images regardless of the context, so that the network can be trained once for all.

Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN

no code implementations1 Mar 2021 Yunshuang Li, Zheyuan Huang, Zexi Chen, Yue Wang, Rong Xiong

Taking the aerial robots' advantages of having large scale variance of view points of the same route which the ground robots is on, the collaboration work provides global information of road segmentation for the ground robot, thus enabling it to obtain feasible region and adjust its pose ahead of time.

Road Segmentation

PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation

1 code implementation31 Oct 2020 Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Yue Wang, Rong Xiong

Utilizing the trained model under different conditions without data annotation is attractive for robot applications.

object-detection Object Detection +4

DiSCO: Differentiable Scan Context with Orientation

1 code implementation21 Oct 2020 Xuecheng Xu, Huan Yin, Zexi Chen, Yue Wang, Rong Xiong

In this paper, we propose a LiDAR-based place recognition method, named Differentiable Scan Context with Orientation (DiSCO), which simultaneously finds the scan at a similar place and estimates their relative orientation.

Pose Estimation Robot Navigation

Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory

2 code implementations20 Oct 2020 Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yue Wang, Rong Xiong

One of the challenges to reduce the gap between the machine and the human level driving is how to endow the system with the learning capacity to deal with the coupled complexity of environments, intentions, and dynamics.


Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning

no code implementations8 Jul 2020 Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Our experiments show that this new composite consistency regularization based semi-GAN significantly improves its performance and achieves new state-of-the-art performance among GAN-based SSL approaches.

Semi-Supervised Image Classification

Local Clustering with Mean Teacher for Semi-supervised Learning

1 code implementation20 Apr 2020 Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai

In MT, each data point is considered independent of other points during training; however, data points are likely to be close to each other in feature space if they share similar features.


ZJUNlict Extended Team Description Paper for RoboCup 2019

1 code implementation22 May 2019 Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong

For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort that ZJUNLict has contributed.

Robotics 68T40

Relational Long Short-Term Memory for Video Action Recognition

no code implementations16 Nov 2018 Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai

By doing this, our Relational LSTM is capable of capturing long and short-range spatio-temporal relations between objects in videos in a principled way.

Action Recognition Temporal Action Localization

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