Frank Wang | Research

Frank Wang

Research Director, Deep Learning and Computer Vision, NVIDIA

Professor, Department of Electrical Engineering, National Taiwan University

Research Area(s)

Artificial Intelligence and Machine Learning

Computer Vision

Main Field of Interest

Artificial Intelligence and Machine Learning

Google Scholar

https://scholar.google.com/citations?user=HSGvdtoAAAAJ&hl=en

Publications

2025

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation

Ci-Siang Lin, Chien-Yi Wang, Frank Wang, Min-Hung Chen

Winter Conference on Applications of Computer Vision (WACV)

2024

Diffusion-Reward Adversarial Imitation Learning

Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Frank Wang, Min-Hung Chen, Shao-Hua Sun

Neural Information Processing Systems (NeurIPS)

DoRA: Weight-Decomposed Low-Rank Adaptation

Shih-Yang Liu, Chien-Yi Wang, Hongxu Danny Yin, Pavlo Molchanov, Frank Wang, Kwang-Ting Cheng, Min-Hung Chen

International Conference on Machine Learning (ICML) 2024

2023

Target-free Text-guided Image Manipulation

Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Frank Wang

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Frank Wang

Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond

Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Frank Wang

2022

Paraphrasing Is All You Need for Novel Object Captioning

Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency, Frank Wang

SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion

Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang