Search Results for author: Wenhui Huang

Found 11 papers, 6 papers with code

Hybrid-Prediction Integrated Planning for Autonomous Driving

no code implementations4 Feb 2024 Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv

First, we introduce marginal-conditioned occupancy prediction to align joint occupancy with agent-wise perceptions.

Autonomous Driving

Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition

no code implementations1 Jan 2024 Ruizhuo Xu, Ke Wang, Chao Deng, Mei Wang, Xi Chen, Wenhui Huang, Junlan Feng, Weihong Deng

With the increasing availability of consumer depth sensors, 3D face recognition (FR) has attracted more and more attention.

Denoising Face Recognition

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

1 code implementation1 Jan 2023 Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv

Despite some successful applications of goal-driven navigation, existing deep reinforcement learning (DRL)-based approaches notoriously suffers from poor data efficiency issue.

Autonomous Navigation Decision Making +2

Learning to Weight Samples for Dynamic Early-exiting Networks

1 code implementation17 Sep 2022 Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang

Intuitively, easy samples, which generally exit early in the network during inference, should contribute more to training early classifiers.


Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning

no code implementations1 Jul 2022 Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv

Decisions made by human subjects in a driving simulator are treated as safe demonstrations, which are stored into the replay buffer and then utilized to enhance the training process of RL.

Autonomous Driving Decision Making +1

Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration

1 code implementation20 Jun 2022 Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv

We theoretically prove that the policy improvement theorem holds for the preference-guided $\epsilon$-greedy policy and experimentally show that the inferred action preference distribution aligns with the landscape of corresponding Q-values.

Atari Games Q-Learning +2

Glance and Focus Networks for Dynamic Visual Recognition

1 code implementation9 Jan 2022 Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song

Spatial redundancy widely exists in visual recognition tasks, i. e., discriminative features in an image or video frame usually correspond to only a subset of pixels, while the remaining regions are irrelevant to the task at hand.

Image Classification Video Recognition

Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving

1 code implementation26 Sep 2021 Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv

A novel prioritized experience replay mechanism that adapts to human guidance in the reinforcement learning process is proposed to boost the efficiency and performance of the reinforcement learning algorithm.

Autonomous Driving reinforcement-learning +1

Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning

no code implementations12 Jan 2020 Wenhui Huang, Francesco Braghin, Zhuo Wang

Therefore, we propose an apprenticeship learning in combination with deep reinforcement learning approach that allows the agent to learn the driving and stopping behaviors with continuous actions.


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