Search Results for author: Hsuan-Kung Yang

Found 8 papers, 1 papers with code

Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation

no code implementations18 Aug 2022 Hao-Wei Chen, Ting-Hsuan Liao, Hsuan-Kung Yang, Chun-Yi Lee

This paper introduces pixel-wise prediction based visual odometry (PWVO), which is a dense prediction task that evaluates the values of translation and rotation for every pixel in its input observations.

Translation Visual Odometry

Investigation of Factorized Optical Flows as Mid-Level Representations

no code implementations9 Mar 2022 Hsuan-Kung Yang, Tsu-Ching Hsiao, Ting-Hsuan Liao, Hsu-Shen Liu, Li-Yuan Tsao, Tzu-Wen Wang, Shan-Ya Yang, Yu-Wen Chen, Huang-Ru Liao, Chun-Yi Lee

In this paper, we introduce a new concept of incorporating factorized flow maps as mid-level representations, for bridging the perception and the control modules in modular learning based robotic frameworks.

Optical Flow Estimation reinforcement-learning +1

Mixture of Step Returns in Bootstrapped DQN

no code implementations16 Jul 2020 Po-Han Chiang, Hsuan-Kung Yang, Zhang-Wei Hong, Chun-Yi Lee

Nevertheless, integrating step returns into a single target sacrifices the diversity of the advantages offered by different step return targets.

Exploration via Flow-Based Intrinsic Rewards

1 code implementation24 May 2019 Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee

Exploration bonuses derived from the novelty of observations in an environment have become a popular approach to motivate exploration for reinforcement learning (RL) agents in the past few years.

Atari Games Optical Flow Estimation

Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow

no code implementations24 Jan 2019 Hsuan-Kung Yang, Po-Han Chiang, Kuan-Wei Ho, Min-Fong Hong, Chun-Yi Lee

We propose to employ optical flow estimation errors to examine the novelty of new observations, such that agents are able to memorize and understand the visited states in a more comprehensive fashion.

Optical Flow Estimation

Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information

no code implementations9 Sep 2018 Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee

The additional depth prediction path supplements the relationship prediction model in a way that bounding boxes or segmentation masks are unable to deliver.

Depth Estimation Depth Prediction +3

Dynamic Video Segmentation Network

no code implementations CVPR 2018 Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee

We explore the use of a decision network to adaptively assign different frame regions to different networks based on a metric called expected confidence score.

Video Segmentation Video Semantic Segmentation

Virtual-to-Real: Learning to Control in Visual Semantic Segmentation

no code implementations1 Feb 2018 Zhang-Wei Hong, Chen Yu-Ming, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Hsuan-Kung Yang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Yueh-Chuan Chang, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Chun-Yi Lee

Collecting training data from the physical world is usually time-consuming and even dangerous for fragile robots, and thus, recent advances in robot learning advocate the use of simulators as the training platform.

Image Segmentation Semantic Segmentation

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