Search Results for author: Xiaogang Jia

Found 8 papers, 2 papers with code

Gated Cross-Attention Network for Depth Completion

no code implementations28 Sep 2023 Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang

With a simple yet efficient gating mechanism, our proposed method achieves fast and accurate depth completion without the need for additional branches or post-processing steps.

Autonomous Driving Depth Completion +1

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies

1 code implementation5 Apr 2023 Moritz Reuss, Maximilian Li, Xiaogang Jia, Rudolf Lioutikov

To the best of our knowledge this is the first work that a) represents a behavior policy based on such a decoupled SDM b) learns an SDM based policy in the domain of GCIL and c) provides a way to simultaneously learn a goal-dependent and a goal-independent policy from play-data.

Denoising Imitation Learning

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction

no code implementations3 Dec 2021 Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan

In this paper, we aim to address the domain generalization problem for vehicle intention prediction tasks and a causal-based time series domain generalization (CTSDG) model is proposed.

Autonomous Vehicles Domain Generalization +3

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation

no code implementations23 Jun 2021 Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia

It is desirable to transfer the knowledge stored in a well-trained source model onto non-annotated target domain in the absence of source data.

Pseudo Label Segmentation +2

On complementing end-to-end human behavior predictors with planning

no code implementations9 Mar 2021 Liting Sun, Xiaogang Jia, Anca D. Dragan

High capacity end-to-end approaches for human motion (behavior) prediction have the ability to represent subtle nuances in human behavior, but struggle with robustness to out of distribution inputs and tail events.

Autonomous Driving Human motion prediction +2

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