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 (ICRA, 2015)

A scalable modular architecture of 3D object acquisition for manufacturing automation. - Ren C. Luo; Chia-Wen Kuo (INDIN, 2015)

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)

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 (ICASSP, 2019)

Data-Efficient Graph Embedding Learning for PCB Component Detection. - Chia-Wen Kuo; Jacob Ashmore; David Huggins; Zsolt Kira (WACV, 2019)

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification. - Chia-Wen Kuo; Chih-Yao Ma; Jia-Bin Huang 001; Zsolt Kira (CoRR, 2019)

FeatMatch: Feature-Based Augmentation for Semi-supervised Learning. - Chia-Wen Kuo; Chih-Yao Ma; Jia-Bin Huang 001; Zsolt Kira (ECCV (18), 2020)

Who2com: Collaborative Perception via Learnable Handshake Communication. - Yen-Cheng Liu; Junjiao Tian; Chih-Yao Ma; Nathan Glaser; Chia-Wen Kuo; Zsolt Kira (ICRA, 2020)

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 (ICLR, 2021)

Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. - Chia-Wen Kuo; Zsolt Kira (CVPR, 2022)

HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning. - Chia-Wen Kuo; Zsolt Kira (CVPR, 2023)

Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation. - Chia-Wen Kuo; Chih-Yao Ma; Judy Hoffman; Zsolt Kira (WACV, 2023)

CLIP-GCD: Simple Language Guided Generalized Category Discovery. - Rabah Ouldnoughi; Chia-Wen Kuo; Zsolt Kira (CoRR, 2023)

CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts. - Jiachen Li 003; Xinyao Wang; Sijie Zhu; Chia-Wen Kuo; Lu Xu; Fan Chen; Jitesh Jain; Humphrey Shi; Longyin Wen (NeurIPS, 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 (CVPR Workshops, 2025)

Knowledge-Augmented Vision-and-Language Assistant. - Chia-Wen Kuo (2025)

Rethinking Homogeneity of Vision and Text Tokens in Large Vision-and-Language Models. - Chia-Wen Kuo; Sijie Zhu; Fan Chen; Xiaohui Shen; Longyin Wen (CoRR, 2025)

Where do Large Vision-Language Models Look at when Answering Questions? - Xiaoying Xing; Chia-Wen Kuo; Fuxin Li; Yulei Niu; Fan Chen; Ming Li; Ying Wu; Longyin Wen; Sijie Zhu (CoRR, 2025)

Vidi: Large Multimodal Models for Video Understanding and Editing. - Vidi Team; Celong Liu; Chia-Wen Kuo; Dawei Du; Fan Chen; Guang Chen; Jiamin Yuan; Lingxi Zhang; Lu Guo; Lusha Li; Longyin Wen; Qingyu Chen; et al. (CoRR, 2025)