Search Results for author: Hong-Yuan Mark Liao

Found 14 papers, 6 papers with code

NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets

1 code implementation12 Nov 2022 Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao

We propose a post-processor, called NeighborTrack, that leverages neighbor information of the tracking target to validate and improve single-object tracking (SOT) results.

Visual Object Tracking

Designing Network Design Strategies Through Gradient Path Analysis

no code implementations9 Nov 2022 Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh

This paper proposes a new network design strategy, i. e., to design the network architecture based on gradient path analysis.

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

9 code implementations6 Jul 2022 Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56. 8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.

Ranked #3 on Real-Time Object Detection on COCO (using extra training data)

2D object detection Real-Time Object Detection +1

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

no code implementations CVPR 2022 Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao

To address this problem, we propose a motion pose and shape network (MPS-Net) to effectively capture humans in motion to estimate accurate and temporally coherent 3D human pose and shape from a video.

Ranked #4 on 3D Human Pose Estimation on MPI-INF-3DHP (Acceleration Error metric)

3D human pose and shape estimation

You Only Learn One Representation: Unified Network for Multiple Tasks

8 code implementations10 May 2021 Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

In this paper, we propose a unified network to encode implicit knowledge and explicit knowledge together, just like the human brain can learn knowledge from normal learning as well as subconsciousness learning.

Multi-Task Learning Real-Time Object Detection +1

Scaled-YOLOv4: Scaling Cross Stage Partial Network

41 code implementations CVPR 2021 Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao

We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy.

2D object detection Real-Time Object Detection

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization

no code implementations19 May 2020 Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao

Specifically, we are required to provide a solution that is able to (1) handle the traffic signal control when certain surveillance cameras that retrieve information for reinforcement learning are down, (2) learn from batch data without a traffic simulator, and (3) make control decisions without shared information across intersections.

Multi-agent Reinforcement Learning reinforcement-learning +1

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

126 code implementations27 Nov 2019 Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh

Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.

Image Classification Real-Time Object Detection

A New Target-specific Object Proposal Generation Method for Visual Tracking

no code implementations27 Mar 2018 Guanjun Guo, Hanzi Wang, Yan Yan, Hong-Yuan Mark Liao, Bo Li

Then, we apply the proposed TOPG method to the task of visual tracking and propose a TOPG-based tracker (called as TOPGT), where TOPG is used as a sample selection strategy to select a small number of high-quality target candidates from the generated object proposals.

Object Proposal Generation Visual Tracking

Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression

no code implementations25 Dec 2017 Guanjun Guo, Hanzi Wang, Chunhua Shen, Yan Yan, Hong-Yuan Mark Liao

The deep CNN model is then designed to extract features from several image cropping datasets, upon which the cropping bounding boxes are predicted by the proposed CCR method.

Image Cropping regression

Hierarchical Cross Network for Person Re-identification

no code implementations19 Dec 2017 Huan-Cheng Hsu, Ching-Hang Chen, Hsiao-Rong Tyan, Hong-Yuan Mark Liao

With the hierarchical cross feature maps, an HCN can effectively uncover additional semantic features which could not be discovered by a conventional CNN.

Person Re-Identification Retrieval

Cannot find the paper you are looking for? You can Submit a new open access paper.