Chia-Wen Kuo

According to our database, Chia-Wen Kuo authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model.

Lu Xu, Sijie Zhu, Chunyuan Li, Chia-Wen Kuo, Fan Chen, Xinyao Wang, Guang Chen, Dawei Du, Ye Yuan, Longyin Wen

CoRR, 2024

CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts.

Jiachen Li, Xinyao Wang, Sijie Zhu, Chia-Wen Kuo, Lu Xu, Fan Chen, Jitesh Jain, Humphrey Shi, Longyin Wen

CoRR, 2024

2023

CLIP-GCD: Simple Language Guided Generalized Category Discovery.

Rabah Ouldnoughi, Chia-Wen Kuo, Zsolt Kira

CoRR, 2023

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation.

Chia-Wen Kuo, Chih-Yao Ma, Judy Hoffman, Zsolt Kira

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning.

Chia-Wen Kuo, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning.

Chia-Wen Kuo, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unbiased Teacher for Semi-Supervised Object Detection.

Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Who2com: Collaborative Perception via Learnable Handshake Communication.

Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

FeatMatch: Feature-Based Augmentation for Semi-supervised Learning.

Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification.

Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira

CoRR, 2019

Data-Efficient Graph Embedding Learning for PCB Component Detection.

Chia-Wen Kuo, Jacob Ashmore, David Huggins, Zsolt Kira

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency.

Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

2016

Intelligent Seven-DoF Robot With Dynamic Obstacle Avoidance and 3-D Object Recognition for Industrial Cyber-Physical Systems in Manufacturing Automation.

Ren C. Luo, Chia-Wen Kuo

Proc. IEEE, 2016

2015

A scalable modular architecture of 3D object acquisition for manufacturing automation.

Ren C. Luo, Chia-Wen Kuo

Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Model-based 3D object recognition and fetching by a 7-DoF robot with online obstacle avoidance for factory automation.

Ren C. Luo, Chia-Wen Kuo, Yi-Ting Chung

Proceedings of the IEEE International Conference on Robotics and Automation, 2015