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Qi WuView profile

Associate Professor

• Computer Vision
• Machine Learning
• Vision-to-Language
• +4 more

Qi Wu is an Associate Professor in the Department of Computer Science, School of Computer and Mathematical Sciences, Faculty of Sciences, Engineering and Technology at the University of Adelaide, based at the Australian Institute for Machine Learning on North Terrace campus. His decade-long career in computer vision includes leadership in Vision-and-Language research and prior roles as an ARC Senior Research Associate at the Australian Centre for Robotic Vision (ACRV) and a Postdoc Researcher at the Australian Centre for Visual Technologies (ACVT). His educational qualifications consist of a Master of Science (MSc) in Global Computing and Media Technology (2011) and a PhD in Computer Science (2015), both from the University of Bath, United Kingdom. Research expertise centers on computer vision and machine learning , with pioneering work in Vision-to-Language systems. Key contributions include state-of-the-art models for image captioning and visual question answering (VQA) , contextual object modeling across depictive styles, and object detection using environmental cues. His focus on neural architectures for image-text interaction has established him as a leader in multimodal AI. Scientific recognition includes: Microsoft COCO Image Captioning Challenge winner (2015) Visual Question Answering Challenge winner (2015) Dr Wu is eligible to supervise Masters and PhD students but is currently at capacity; prospective students must email directly for availability discussions. His research has been supported by Australian Research Council (ARC) funding through prior Senior Research Associate and Postdoctoral roles. Current work involves leading a dedicated Vision-and-Language team at the University of Adelaide, building on his extensive publication record in top venues. He maintains active affiliations with the Australian Institute for Machine Learning and previously contributed to the Australian Centre for Robotic Vision (ACRV) and Australian Centre for Visual Technologies (ACVT), reflecting deep integration with national AI research infrastructure.

Diamantis PanagiotopoulosView profile

Professor

• Aegean Bronze Age
• Cultural Interaction in Eastern Mediterranean
• Archaeological Theory
• +4 more

Prof. Dr. Diamantis Panagiotopoulos is a Professor of Classical Archaeology at Heidelberg University's Institute of Classical Archaeology, serving as its Managing Director since 2012. His academic foundation includes a doctorate from Heidelberg University (1996) and a habilitation from Salzburg University (2003), both focused on Aegean Bronze Age archaeology. Panagiotopoulos's research explores Aegean Bronze Age societies, with emphasis on seal practices, iconography, cultural interactions, and archaeological landscapes. His work integrates theoretical frameworks with material culture analysis to examine Minoan-Mycenaean administration, transcultural exchanges in the Eastern Mediterranean, and heritage preservation strategies. His publications reflect a strong trajectory toward computational methods in archaeology and interdisciplinary approaches, with recent articles leveraging digital tools for seal analysis and landscape modeling. Earlier works established foundations in ritual studies and cross-cultural encounters. Awards include fellowships from the German Archaeological Institute (DAI), DAAD, and DFG, recognizing his contributions to Bronze Age archaeology. He directs excavations at Koumasa (Crete) and co-leads the Heidelberg Corpus of Minoan and Mycenaean Seals.

• Computer Vision
• Artwork Analysis
• Cross-depiction Recognition
• +3 more

Hongping Cai is a Lecturer in the Department of Computer Science at the University of Bath, contributing to the Visual Computing research group. Their work focuses on advancing computer vision techniques for analyzing artistic depictions and cross-domain object recognition. Research interests include computer vision applications in artwork analysis, cross-depiction problem modeling, object recognition across media, and spatial relation modeling. Recent work emphasizes leveraging CNNs for detecting people in artwork, benchmarking cross-depiction systems, and developing graph-based models for visual object analysis. Publications highlight contributions to cross-media recognition challenges, synthesis techniques, and domain adaptation methods. No specific awards or grants are listed, though their research has garnered significant citations and downloads. Advising activities are not documented in the provided materials. Active in the Visual Computing group at the University of Bath, Dr. Cai's work bridges traditional computer vision with artistic depiction analysis, addressing challenges in multi-modal data fusion and cross-domain visual understanding.

Peter HallView profile

Professor

• Computer Vision
• Computer Graphics
• Medical Imaging
• +5 more

Professor Peter Hall is a faculty member in the Department of Computer Science at the University of Bath, affiliated with the Centre for Digital Entertainment (CDE), Centre for the Analysis of Motion, Entertainment Research & Applications (CAMERA), Visual Computing, and the Bath Institute for the Augmented Human. His research focuses on computer vision applications in computer graphics, including style transfer, tactile interfaces for visual impairment, and medical imaging techniques. He has led and collaborated on projects funded by EPSRC and EU Horizon 2020, such as the CAMERA initiative and studies on multisensory interaction. His expertise spans computer vision fundamentals like image segmentation, object recognition, and generative adversarial networks (GANs), alongside interdisciplinary work in medical imaging, robotics, and accessibility technologies. Notable contributions include deep learning-based MRI reconstruction, geometric style transfer algorithms, and tactile image generation for visually impaired users. Education details not explicitly stated in provided texts Projects include IAA tactile display systems, CAMERA motion analysis, and generative adversarial network research Advising and grants involve leadership roles in EPSRC-funded projects like 'Acquiring Complete and Editable Outdoor Models' and EU initiatives. His work aligns with UN SDGs related to health innovation and accessibility. Current research emphasizes domain adaptation techniques and cross-depiction problem solutions in computer vision.

Ravi Kiran SarvadevabhatlaView profile

Associate Professor

• Computer Vision
• Machine Learning
• Human-Computer Interaction
• +9 more

Ravi Kiran Sarvadevabhatla is an Associate Professor at the International Institute of Information Technology Hyderabad (IIIT-H), with additional roles as Lead (Applied Projects and Academic Programs) at iHub-Data Mobility. His research spans Computer Vision , Machine Learning , and Human-Robot Interaction , focusing on interdisciplinary challenges involving multimodal data (images, sketches, eye-tracking, audio). Research Themes : Computer vision projects in Document Image Understanding , Sketch Recognition , and Depiction-Invariant Object Recognition Cognitive modeling through Eye Tracking Analysis and Pictionary-inspired Models Human-robot interaction studies on Proxemics , Panoramic Attention , and Extended Interaction Analysis Technical Contributions : Pioneered Category-Epitome representations for sparse sketch recognition Developed SketchParse - a deep network for automated sketch parsing Created PPSS-12 benchmark for evaluating object recognition robustness

María Dolores Teijeira PablosView profile

Professor

• Medieval Art
• Gothic Art
• Artistic Patronage
• +5 more

María Dolores Teijeira Pablos is a Professor at the University of León , affiliated with the Faculty of Philosophy and Letters and Department of Artistic and Documentary Heritage . Since 2016, she has directed the Institute of Medieval Studies at the university. Her academic career is rooted in Spanish medieval art , particularly focusing on late Gothic choir stalls , episcopal artistic patronage , and liturgical objects . PhD in Art History (1993) from the University of León Research Group: PAM Medieval Artistic Heritage Projects: HAR2017-88405 - Artistic Patronage in Castile and León (1230-1500) Her research explores artistic patronage through multidisciplinary lenses, analyzing bishops' roles in cathedral art, liturgical vestments, and wax seals. She has authored books and articles on medieval Castilian bishops , including their influence on architecture, sculpture, and painting. Notable works include: Studies on choir stalls in León, Oviedo, Zamora, and Toledo Analysis of liturgical vestments in Segovia Cathedral (1459-1472) Examinations of wax seals as identity markers in medieval Iberia Research on confraternities as funding mechanisms for cathedral projects She organizes seminars like Art and Episcopal Power in Castile (14th-15th centuries) and Who Built Gothic Cathedrals? , collaborating with teams to contextualize artistic production within economic, political, and religious frameworks.