Dr Deblina Bhattacharjee

Dr DeblinaBhattacharjee

Tenured Assistant Professor of Computer Science at the University of Bath, and Fellow of the Higher Education Academy.

I teach machines to understand, restore and reason about visual culture, from comics and film archives to sign language.

My group works on generative and multimodal models, 3D reconstruction, depth, saliency and multitask learning. We apply them to the visual arts and archives, where pictures carry culture; to British Sign Language, where they carry access for Deaf communities; and to medical imaging. I care about AI that is responsible and inclusive, and about how it meets human cognition.

Before Bath I did my PhD and a postdoc at the Image and Visual Representation Lab, EPFL, and worked at the Samsung–POSTECH Intelligent Media Research Centre and Google. I am Chief AI Advisor to Silence Speaks and lead the AI for Visual Arts workshop series.

Deblina Bhattacharjee at her desk

Research

Four strands, one question: how should machines look at the things people make?

Comics panels, their photo translations, depth maps and a retargeted panel

Visual arts and cultural heritage

Comics, manga, paintings and film archives break the assumptions of models trained on photographs. We build datasets and methods for depth, segmentation, saliency, retargeting and sketch-to-image generation in stylised art, and generative restoration for archives. I lead the AI for Visual Arts (AI4VA) workshop series at ECCV, ICCV and CVPR.

3D signing
avatars

Accessible AI for Deaf communities

With Silence Speaks we are prototyping real-time, photorealistic 3D animatable British Sign Language avatars and a 3D dataset of 5,000 BSL signs, evaluated with Deaf end-users. Methods from our earlier work power the company’s avatar pipeline in use at Leeds Teaching Hospitals NHS Trust and with Cambridgeshire County Council.

Innovate UK Accelerated Knowledge Transfer, industry co-funded PhD studentship
Edit3DMM face fits and SpatialDiff segmentation results

Generative and multimodal learning

Editing-first 3D face models whose shape bases are learned per facial region, transformers that share attention across dense tasks, adapters that transfer to new tasks without fine-tuning, instance-aware image translation, and diffusion pipelines that ground language in the right region.

Ultrasound and simulated cardiac flow fields

AI for healthcare

Physics-informed latent graphs that turn cardiac vortices into interacting nodes, with graph entropy as a marker of disease severity, developed with Dr Katharine Fraser’s group in Mechanical Engineering. Related work asks why retinal graders trained on colour fundus images fail on near-infrared ones.

Further projects, including a causal audit of LLM-generated image-editing instructions, are under review and will appear here on publication.

News

  • Upcoming: talk and live demo at the Sherborne Alan Turing centenary Tech Fest on 16 October; BMVA technical session on AI for the Visual Arts in December.

  • Edit3DMM, an editing-first 3D morphable face model, is accepted at CVMP 2026, the ACM SIGGRAPH European Conference on Visual Media Production.

  • Our paper with Yin Zhang (University of Geneva) on author-stigmatising hazards in LLM literary translation is accepted to the Findings of EMNLP 2026, Budapest.

  • Chaired the 4th AI for Visual Arts workshop at ECCV 2026, Malmö.

  • Innovate UK Accelerated Knowledge Transfer grant (£35,000) with Silence Speaks for 3D animatable BSL avatars; Silence Speaks is also co-funding a URSA 50:50 PhD studentship in my group.

  • Appointed Broadening Participation Chair and Publicity Chair of CVPR 2027, and Area Chair for WACV 2026.

  • Live on BBC Radio for World Wide Web Day (1 August); invited tutorial at the Bath Machine Learning Summer School.

  • Faculty of Science Recognising Excellence Award. Quoted in SurreyLive on governing AI in NHS trusts. Invited tutorial at the 29th BMVA Computer Vision Summer School, Durham.

  • At CVPR 2026, Denver: keynote at the SINT4CH workshop on spatial intelligence for cultural heritage, lead organiser of the 3rd AI4VA workshop, and two student-led workshop papers, one awarded Best Poster among 113. Publicity Chair of the conference.

Earlier news
  • Led the Faculty of Science workshops at the University of Bath Doctoral Festival of Ideas.

  • Invited delegate at the United Nations Office at Geneva (UNRISD) and invited speaker at The National Archives, Kew, on AI for archival restoration.

  • New preprint with Katharine Fraser’s group: Learning Disease-Sensitive Latent Interaction Graphs From Noisy Cardiac Flow Measurements.

  • Panellist at the BCSWomen Lovelace Colloquium 2026.

  • Organised the 2nd AI4VA workshop and co-organised COMIQ at ICCV 2025, Honolulu.

  • Chair of the Department’s Athena SWAN Self-Assessment Team.

  • Perplexity AI Business Fellowship, Elevate Leadership Fellowship (Ubele Foundation) and Impact and Knowledge Exchange Fellowship; Fellow of the Higher Education Academy.

  • Co-organised Women in Computer Vision at CVPR 2025, Nashville; Publicity Chair of CVPR 2025; panellist on research impact at CVPR 2025 and at RBC Borealis, Toronto.

  • Advisory engagement with Silence Speaks; methods from this work form the BSL avatar pipeline deployed at Leeds Teaching Hospitals NHS Trust and with Cambridgeshire County Council.

  • General Chair of the 1st AI4VA workshop and challenges at ECCV 2024, Milan; three ECCV 2024 papers; co-organiser of WiCV at CVPR 2024, Seattle.

  • Joined the University of Bath as Lecturer (Assistant Professor) in Visual Intelligence.

  • Guest on the SuperDataScience podcast: Deep Learning for Machine Vision and Solving an Optimisation Problem with a Custom-Built Algorithm.

Publications

2026

Edit3DMM: An Editing-First 3D Morphable Model

Avirup Dey, Deblina Bhattacharjee, Vinay Namboodiri

CVMP 2026, ACM SIGGRAPH European Conference on Visual Media Production

Author-Stigmatising Hazards in LLM-Generated Literary Translation: Evaluation and Mitigation through Danmei-EPV

Yin Zhang, Deblina Bhattacharjee

Findings of EMNLP 2026, Budapest

Enhancing Spatial Understanding in Vision-Language Segmentation via Diffusion-Based Pipelines

Filippo Santiano*, Zejun Zhang*, Deblina Bhattacharjee

CVPR 2026 Workshops (AI for Visual Arts)

Attention-Enhanced Multi-ControlNet for Artist-Aligned Manga Background Generation

Louis King, Deblina Bhattacharjee

CVPR 2026 Workshops (AI for Visual Arts)

Learning Disease-Sensitive Latent Interaction Graphs From Noisy Cardiac Flow Measurements

Viraj Patel, Marko Grujic, Philipp Aigner, Theodor Abart, Marcus Granegger, Deblina Bhattacharjee, Katharine Fraser

arXiv 2602.23035, under review

2025
WiCV

WiCV at CVPR 2025: The Women in Computer Vision Workshop

Estefania Talavera, Deblina Bhattacharjee, Himangi Mittal, Mengwei Ren, Karen Sanchez, Carla Muntean, JungEun Kim, Mona Jalal

Workshop report, arXiv 2511.08748

2024

Data Augmentation via Latent Diffusion for Saliency Prediction

Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

ECCV 2024, Milan

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xianzheng Ma, Xiangwei Zhu, Zhenming Ji

ECCV 2024, Milan

Unlocking Comics: The AI4VA Dataset for Visual Understanding

Peter Grönquist, Deblina Bhattacharjee, Bahar Aydemir, Baran Ozaydin, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

ECCV 2024 Workshops (AI for Visual Arts), Milan

OMH

OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation

Baran Ozaydin, Tong Zhang, Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

arXiv 2403.06546

WiCV

WiCV@CVPR2024: The Thirteenth Women In Computer Vision Workshop at the Annual CVPR Conference

Asra Aslam, Sachini Herath, Ziqi Huang, Estefania Talavera, Deblina Bhattacharjee, Himangi Mittal, et al.

Workshop report, arXiv 2411.02445

2023

Vision Transformer Adapters for Generalizable Multitask Learning

Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

ICCV 2023, Paris

Dense Multitask Learning to Reconfigure Comics

Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann

CVPR 2023 Workshops (WiCV), Vancouver

Dense Image-based Predictions for Comics Analysis

Deblina Bhattacharjee

PhD thesis, EPFL

2022

MulT: An End-to-End Multitask Learning Transformer

Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

CVPR 2022, New Orleans

Modeling Object Dissimilarity for Deep Saliency Prediction

Bahar Aydemir*, Deblina Bhattacharjee*, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Transactions on Machine Learning Research

Estimating Image Depth in the Comics Domain

Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk

WACV 2022, Hawaii

2021

Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks

Xiaoyu Lin, Deblina Bhattacharjee, Majed El Helou, Sabine Süsstrunk

IEEE Signal Processing Letters, vol. 28

I2I

Scaling up an Unsupervised Image-to-Image Translation Framework from Basic to Complex Scenes

Diogo F. N. Silva, Stéphane Chassot, Loïc Barras, Deblina Bhattacharjee, Sabine Süsstrunk

American Journal of Computer Science and Technology, 4(4)

2020

DUNIT: Detection-based Unsupervised Image-to-Image Translation

Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann

CVPR 2020, Seattle

2016–2018

An Immersive Learning Model Using Evolutionary Learning

Deblina Bhattacharjee, Anand Paul, J. H. Kim, P. Karthigaikumar

Computers & Electrical Engineering, vol. 65, 2018

A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm

Deblina Bhattacharjee, Anand Paul

AAAI 2017, San Francisco

Medical Image Analysis using a Novel Learning Algorithm based on Plant Intelligence

Deblina Bhattacharjee

NeurIPS 2017 Women in Machine Learning Workshop, Long Beach

Autonomous Terrestrial Image Segmentation and Sensor Node Localization for Disaster Management using Plant Growth Simulation Algorithm

Deblina Bhattacharjee, Anand Paul, W. H. Hong, H. C. Seo, S. Karthik

Preprints.org, 2017

MSc

An Evolutionary Learning Algorithm based on Plant Intelligence for Solving Optimization Problems

Deblina Bhattacharjee

MSc thesis, Kyungpook National University, 2017. Best MSc Thesis Award

ICSI

A Hybrid Search Optimization Technique Based on Evolutionary Learning in Plants

Deblina Bhattacharjee, Anand Paul

International Conference on Swarm Intelligence (Springer LNCS), Bali, 2016

Springer
Plus

An Object Localization Optimization Technique in Medical Images Using Plant Growth Simulation Algorithm

Deblina Bhattacharjee, Anand Paul, J. H. Kim, M. Kim

SpringerPlus, vol. 5, 2016

ACM
SAC

Evolutionary Reinforcement Learning based Search Optimization

Deblina Bhattacharjee

ACM Symposium on Applied Computing, Student Research Competition, Pisa, 2016

Adaptive Transcursive Algorithm for Depth Estimation in Deep Learning Networks

Uthra Kunathur Thikshaja, Anand Paul, Seungmin Rho, Deblina Bhattacharjee

PlatCon 2016, Jeju

Citation counts and the full record on Google Scholar

Teaching and supervision

5PhD students supervised
26Master’s projects
18Bachelor’s projects

Across the UK, US, Switzerland and China. I currently supervise four PhD students at Bath and co-supervise a doctoral researcher at the University of Geneva.

I am always open to doctoral students who want to work at the confluence of AI and the creative domains, accessibility or responsible AI. Write to me.

Units at Bath

  • Visual Computing (CM22010), second year, about 225 students. Lectures, labs and coursework design for both semesters.
  • Machine Learning (CM22009), second year, about 219 students. Lectures and the full Semester 2 coursework redesign.
  • Head teaching assistant for Computational Photography at EPFL.

Beyond Bath

  • Tutorial at the 29th BMVA Computer Vision Summer School, Durham, July 2026.
  • Tutorial at the Bath Machine Learning Summer School, August 2026.
  • Teaching Excellence Award, 2022; Fellow of the Higher Education Academy, 2025.
  • Offer-holder and open days, Bath Taps science festival, and mentoring women in STEM through Women in Computer Vision.

Service

Conferences and workshops

  • CVPR 2027 Broadening Participation Chair and Publicity Chair
  • CVPR 2025, 2026 Publicity Chair, Organising Committee
  • WACV 2026 Area Chair
  • AI for Visual Arts lead organiser and chair: ECCV 2024, ICCV 2025, CVPR 2026, ECCV 2026
  • COMIQ co-organiser, ICCV 2025
  • Women in Computer Vision co-organiser at CVPR 2024 and 2025; mentor at ECCV 2024

Reviewing and advising

  • More than 200 reviews for TPAMI, NeurIPS, ICML, CVPR, ECCV, ICCV, WACV and journals including IEEE Transactions on Signal and Information Processing, IEEE Transactions on Emerging Topics in Computing, Computers & Electrical Engineering and Behaviour & Information Technology
  • Invited grant reviewer, US Department of Energy ASCR Early Career Research Program
  • Chief AI Advisor, Silence Speaks; advisor to Schloé AI on interactive educational dissemination
  • Member of ELLIS, the Computer Vision Foundation, ACM, AAAI and IMLS

University of Bath

  • Chair, Athena SWAN Departmental Self-Assessment Team; co-lead of the Department’s Athena Swan Silver application
  • Member, Departmental Equality, Diversity and Inclusion Committee
  • Faculty of Science lead for the Doctoral Festival of Ideas workshops, June 2026
  • Member of the Visual Intelligence group, the Research Centre for Spatial Intelligence and the Centre for Artificial Intelligence

Awards and grants

  • Faculty of Science Recognising Excellence Award, University of Bath, 2026
  • Best Poster Award (of 113), AI for Visual Arts Workshop at CVPR 2026, for a paper first-authored by my undergraduate student
  • Innovate UK Accelerated Knowledge Transfer, £35,000, with Silence Speaks, 2026
  • URSA 50:50 PhD studentship, £48,000 industry co-funding from Silence Speaks, from September 2026
  • Fellow of the Higher Education Academy, 2025
  • Impact and Knowledge Exchange Fellowship, 2025
  • Elevate Leadership Fellowship, Ubele Foundation, 2025
  • Perplexity AI Business Fellowship, 2025
  • Teaching Excellence Award, 2022
  • Women in Machine Learning Grant, 2017
  • Best MSc Thesis Award, Kyungpook National University, 2017
  • Brain Korea 21 Plus research grant, top 1% of applicants, 2015–2017; full merit scholarship, Kyungpook National University
  • ACM SAC Student Research Competition, best student paper nomination (top 5 globally) and ACM SIGAPP Travel Award, 2016
  • Christ University Merit Scholarship, all eight semesters, and Best Overall Performer of the Year, 2012
  • Offers of study from New York University (MS Artificial Intelligence), University of Tampa and University of Rochester; Gold medal, National Cyber Olympiad, India, 2005

Talks

Deblina at the United Nations podium in Geneva
United Nations Office at Geneva, April 2026
Deblina opening the AI for Visual Arts workshop
Opening the 4th AI for Visual Arts workshop, ECCV 2026, Malmö
Deblina presenting at ACM SAC
ACM SAC, Pisa, 2016
Deblina beside her poster at CVPR 2022
MulT poster, CVPR 2022, New Orleans
UNRISD banner at the Palais des Nations
UNRISD, Palais des Nations, Geneva
  • BMVA technical session on AI for the Visual Arts, December 2026 (upcoming)
  • Sherborne Alan Turing centenary Tech Fest, talk and live demo, 16 October 2026 (upcoming)
  • AI4VA at ECCV 2026, chair’s opening and closing talks, Malmö, September 2026
  • Bath Machine Learning Summer School, tutorial, August 2026
  • BBC Radio, live interview for World Wide Web Day, 1 August 2026
  • BMVA Computer Vision Summer School, tutorial, Durham, July 2026
  • SINT4CH at CVPR 2026, keynote on multimodal learning and spatial intelligence for creative and cultural domains, Denver, June 2026
  • United Nations Office at Geneva, invited delegate and speaker, April 2026
  • The National Archives, Kew, invited talk on AI for archival restoration, April 2026
  • BCSWomen Lovelace Colloquium, panellist, 2026
  • RBC Borealis, Toronto, panel on AI for Society, June 2025
  • CVPR 2025, panel on AI for Everyone, Nashville, June 2025
  • AI4VA at ICCV 2025 and ECCV 2024, organiser’s addresses
  • ICCV 2023, Paris, and CVPR 2023 Workshops, Vancouver
  • CVPR 2022, New Orleans; WACV 2022, oral and poster, Hawaii; invited talk at Synapse, Milan, 2022
  • International Conference on Data Science and Big Data Analytics, invited speaker on future trends in deep learning, Toronto, May 2018
  • NeurIPS 2017 WiML, Long Beach; AAAI 2017, San Francisco; ACM SAC 2016, Pisa; ICSI 2016, Bali; PlatCon 2016, Jeju