Conghui HU

Conghui HU is a Lecturer (Educator Track) in the Department of Computer Science at the National University of Singapore. Their research areas and interests are not explicitly detailed in the provided information. HU teaches courses such as CS1010A Programming Methodology and CS2109S Introduction to AI and Machine Learning. Their profile page lists research areas, projects, groups, teaching innovations, publications, awards, and courses taught, but specific details are not provided. HU's contact information is available via email at conghui@nus.edu.sg and their personal website at https://www.comp.nus.edu.sg/cs/people/huch.

Conghui Hu is a researcher at the National University of Singapore with expertise in Computer Vision and Deep Learning. Their work focuses on advancing methods for cross-domain image retrieval, sketch-based image and video segmentation, and weakly-supervised audio-visual video parsing. Hu's research explores unsupervised and semi-supervised learning approaches to improve feature representation and generalization across domains. They have developed frameworks for generalized few-shot point cloud segmentation and zero-shot cross-domain image retrieval. Additionally, their work on sketch-based photo and segmenter generation highlights the intersection of sketch and photo relations. These contributions emphasize the use of deep learning techniques to enhance visual understanding and cross-modal fusion in multimedia tasks.