Day |
Time |
Number |
Paper ID |
Session Topic |
Title |
Authors |
Monday |
11:45-12:00 |
1 |
871 |
Architectures and
Techniques |
On the Lipschitz
Constant of Deep Networks and Double Descent |
Matteo Gamba (KTH)*;
Hossein Azizpour (KTH (Royal Institute of Technology)); Marten Bjorkman (KTH) |
12:00-12:15 |
2 |
265 |
Architectures and
Techniques |
A Multi-step Fusion
Network Based on Environmental Knowledge Graph for Camouflaged Object
Detection |
Zheng Wang (Tianjin
University)*; Wenjun Huang (Tianjin University); Ruoxun Su (Tianjin
University); Xinyu Yan (Tianjin University); Meijun Sun (Tianjin University) |
12:15-12:30 |
3 |
437 |
Architectures and
Techniques |
Maturity-Aware Active
Learning for Semantic Segmentation with Hierarchically-Adaptive Sample
Assessment |
Amirsaeed Yazdani
(Pennsylvania State University)*; Xuelu Li (Amazon); Vishal Monga (The
Pennsylvania State University) |
12:30-12:45 |
4 |
912 |
Architectures and
Techniques |
Group
Orthogonalization Regularization for Vision Models Adaptation and Robustness |
Yoav Kurtz (Tel Aviv
University); Noga Bar (Tel Aviv University); Raja Giryes (Tel Aviv
University)* |
12:45-13:00 |
5 |
276 |
Architectures and
Techniques |
Attentive Contractive
Flow with Lipschitz Constrained Self-Attention |
Avideep Mukherjee
(Indian Institute of Technology Kanpur)*; Badri N Patro (KU Leuven); Vinay
Namboodiri (University of Bath) |
14:00-14:15 |
6 |
497 |
Architectures and
Techniques |
EDeNN: Event Decay
Neural Networks for low latency vision |
Celyn Walters
(University of Surrey); Simon Hadfield (University of Surrey)* |
14:15-14:30 |
7 |
669 |
Architectures and
Techniques |
SRBGCN: Tangent
space-Free Lorentz Transformations for Graph Feature Learning |
Abdelrahman Mostafa
(University of Oulu)*; Wei Peng (Stanford University); Guoying Zhao
(University of Oulu) |
14:30-14:45 |
8 |
601 |
Architectures and
Techniques |
Overcoming
Degradation Imbalance for Consistent Image Dehazing |
Pranjay Shyam
(Faurecia IRYStec)*; Hyunjin Yoo (Faurecia IRYStec) |
14:45-15:00 |
9 |
829 |
Architectures and
Techniques |
PseudoCal: Towards
Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration |
Mathieu Cocheteux
(Université de Technologie de Compiègne)*; Franck Davoine (Heudiasyc - CNRS -
Université de technologie de Compiègne); Julien Moreau (UTC, Heudiasyc-SyRI) |
15:00-15:15 |
10 |
721 |
Architectures and
Techniques |
Convolution kernel
adaptation to calibrated fisheye |
Bruno Berenguel-Baeta
(Universidad de Zaragoza)*; Maria Santos-Villafranca (Universidad de
Zaragoza); Jesus Bermudez-Cameo (Universidad de Zaragoza); Alejandro Perez
Yus (Universidad de Zaragoza); Josechu Guerrero (Universidad de Zaragoza) |
15:45-16:00 |
11 |
901 |
3D Analysis |
On-Site Adaptation
for Monocular Depth Estimation with a Static Camera |
Huan Li (Bologna
University)*; Matteo Poggi (University of Bologna); Fabio Tosi (University of
Bologna); Stefano Mattoccia (University of Bologna) |
16:00-16:15 |
12 |
823 |
3D Analysis |
Improved Photometric
Stereo through Efficient and Differentiable Shadow Estimation |
Po-Hung Yeh (National
Taiwan University); Pei-Yuan Wu (National Taiwan University); Jun-Cheng Chen
(Academia Sinica)* |
15:15-16:30 |
13 |
405 |
3D Analysis |
Breathing New Life
into 3D Assets with Generative Repainting |
Tianfu Wang (ETH
Zurich); Menelaos Kanakis (ETH Zurich); Konrad Schindler (ETH Zurich); Luc
Van Gool (ETH Zurich); Anton Obukhov (ETH Zurich)* |
16:30-16:45 |
14 |
14 |
3D Analysis |
A-Scan2BIM: Assistive
Scan to Building Information Modeling |
Weilian Song (Simon
Fraser University)*; Jieliang Luo (Autodesk Research); Dale Zhao (Autodesk
Research); Yan Fu (Autodesk Research); Chin-Yi Cheng (Google Research);
Yasutaka Furukawa (Simon Fraser University) |
17:00-17:15 |
15 |
571 |
3D Analysis |
Exploiting Multiple
Priors for Neural 3D Indoor Reconstruction |
Federico Lincetto
(University of Padova)*; Gianluca Agresti (Sony Europe B.V.); Mattia Rossi
(SONY Europe B.V.); Pietro Zanuttigh (University of Padova) |
17:15-17:30 |
16 |
339 |
3D Analysis |
Structured Knowledge
Distillation Towards Efficient Multi-View 3D Object Detection |
Linfeng Zhang
(Tsinghua University )*; Yukang Shi (Xi’an Jiaotong University); Ke Wang (UNC
Chapel Hill); Zhipeng Zhang (DiDi); Hung-Shuo Tai (Didi Autonomous Drive);
Yuan He (KargoBot); Kaisheng Ma (Tsinghua University ) |
17:30-17:45 |
17 |
305 |
3D Analysis |
Learnable Geometry
and Connectivity Modelling of BIM Objects |
Haritha Jayasinghe
(University of Cambridge)*; Ioannis Brilakis (University of Cambridge) |
17:45-18:00 |
18 |
438 |
3D Analysis |
Score-PA: Score-based
3D Part Assembly |
Junfeng Cheng
(Imperial College London); Mingdong Wu (Peking University); Ruiyuan Zhang
(zhejiang university); Guanqi Zhan (University of Oxford); Chao Wu (Zhejiang
University); Hao Dong (Peking University)* |
Tuesday |
10:00-10:15 |
19 |
187 |
Efficient and
scalable vision |
Can Deep Networks be
Highly Performant, Efficient and Robust simultaneously? |
Madan Ravi Ganesh
(BCAI)*; Salimeh Yasaei Sekeh (University of Maine); Jason J Corso
(University of Michigan) |
10:15-10:30 |
20 |
290 |
Efficient and
scalable vision |
Highly Efficient SNNs
for High-speed Object Detection |
Nemin Qiu (Beijing
University of Posts and Telecommunications)*; zhiguo li (Peking University);
Yuan Li (Peking University); Chuang Zhu (Beijing University of Posts and
Telecommunications ) |
10:30-10:45 |
21 |
832 |
Efficient and
scalable vision |
Feather: An Elegant
Solution to Effective DNN Sparsification |
Athanasios Glentis
Georgoulakis (National Technical University of Athens)*; George Retsinas
(National Technical University of Athens); Petros Maragos (National Technical
University of Athens) |
10:45-11:00 |
22 |
311 |
Efficient and
scalable vision |
RepQ: Generalizing
Quantization-Aware Training for Re-Parametrized Architectures |
Anastasiia Prutianova
(Huawei)*; Alexey Zaytsev (Skoltech); Chung-Kuei Lee (Huawei); Fengyu Sun
(Huawei); Ivan Koryakovskiy (Huawei Technologies Co., Ltd.) |
11:45-12:00 |
23 |
53 |
Explainable AI &
Representation Learning |
Unsupervised Hashing
with Similarity Distribution Calibration |
Kam Woh Ng
(University of Surrey)*; Xiatian Zhu (University of Surrey); Jiun Tian Hoe
(Nanyang Technological University); Chee Seng Chan (University of Malaya);
Tianyu Zhang (Geek Plus); Yi-Zhe Song (University of Surrey); Tao Xiang
(University of Surrey) |
12:00-12:15 |
24 |
70 |
Explainable AI &
Representation Learning |
Diversifying the
High-level Features for better Adversarial Transferability |
Zhiyuan Wang
(Huazhong University of Science and Technology); Zeliang Zhang (University of
Rochester); Siyuan Liang (Chinese Academy of Sciences); Xiaosen Wang
(Huazhong University of Science and Technology)* |
12:15-12:30 |
25 |
685 |
Explainable AI &
Representation Learning |
Protecting Publicly
Available Data With Machine Learning Shortcuts |
Nicolas M Müller
(Fraunhofer AISEC)*; Maximilian Burgert (TU Munich); Pascal Debus (Fraunhofer
AISEC); Jennifer Williams (University of Southampton); Philip Sperl
(Fraunhofer AISEC); Konstantin Böttinger (Fraunhofer AISEC) |
12:30-12:45 |
26 |
771 |
Explainable AI &
Representation Learning |
Vision Transformers
are Inherently Saliency Learners |
Yasser Abdelaziz
DAHOU DJILALI (Dublin City UNIVERISTY )*; Kevin McGuinness (DCU); Noel O
Connor (Home) |
12:45-13:00 |
27 |
578 |
Explainable AI &
Representation Learning |
H-NeXt: The next step
towards roto-translation invariant networks |
Tomáš Karella
(Institute of Information Theory and Automation, Czech Academy of Sciences)*;
Filip Šroubek (Institute of Information Theory and Automation, Czech Academy
of Sciences); Jan Blažek (Institute of Information Theory and Automation,
Czech Academy of Sciences); Jan Flusser (UTIA, Czech Academy of Sciences);
Václav Košík (UTIA, Czech Academy of Sciences) |
15:45-16:00 |
28 |
45 |
Vision and language |
A Critical Robustness
Evaluation for Referring Expression Comprehension Methods |
zhipeng zhang
(Northwestern Polytechnical University); Zhimin Wei (Northwestern
Polytechnical University); Peng Wang (Northwestern Polytechnical University)* |
16:00-16:15 |
29 |
377 |
Vision and language |
Describe Your Facial
Expressions by Linking Image Encoders and Large Language Models |
Yujian Yuan
(Institute of Computing Technology, Chinese Academy of Sciences; University
of Chinese Academy of Sciences); Jiabei Zeng (Institute of Computing
Technology, Chinese Academy of Sciences)*; Shiguang Shan (Institute of
Computing Technology, Chinese Academy of Sciences) |
15:15-16:30 |
30 |
722 |
Vision and language |
Spatio-Temporal Graph
Diffusion for Text-Driven Human Motion Generation |
Chang Liu (University
of Trento)*; Mengyi Zhao (Beihang University); Bin Ren (University of
Trento); Mengyuan Liu (Peking University, Shenzhen Graduate School); Nicu
Sebe (University of Trento) |
16:30-16:45 |
31 |
366 |
Vision and language |
Divide & Bind
Your Attention for Improved Generative Semantic Nursing |
Yumeng Li (Bosch
Center for Artificial Intelligence)*; Margret Keuper (University of Siegen,
Max Planck Institute for Informatics); Dan Zhang (Bosch Center for Artificial
Intelligence); Anna Khoreva (Bosch Center for Artificial Intelligence) |
17:00-17:15 |
32 |
748 |
Vision and language |
Multi-CLIP:
Contrastive Vision-Language Pre-training for Question Answering tasks in 3D
Scenes |
Alexandros Delitzas
(ETH Zurich)*; Maria Parelli (ETH Zurich); Nikolas Hars (ETH Zurich);
Georgios Vlassis (ETH Zurich); Sotirios-Konstantinos Anagnostidis (ETH
Zurich); Gregor Bachmann (ETH Zurich); Thomas Hofmann (ETH Zurich) |
17:15-17:30 |
33 |
670 |
Vision and language |
DisCLIP:
Open-Vocabulary Referring Expression Generation |
Lior Bracha (Bar Ilan
University)*; Eitan Shaar (bar Ilan University); Aviv Shamsian (Bar Ilan
University); Ethan Fetaya (Bar Ilan University); Gal Chechik (NVIDIA) |
17:30-17:45 |
34 |
581 |
Vision and language |
Video-adverb
retrieval with compositional adverb-action embeddings |
Thomas Hummel
(University of Tübingen)*; A. Sophia Koepke (University of Tübingen);
Otniel-Bogdan Mercea (University of Tübingen); Zeynep Akata (University of
Tübingen) |
17:45-18:00 |
35 |
429 |
Vision and language |
Zero-Shot Video
Captioning by Evolving Pseudo-tokens |
Yoad Tewel (Tel-Aviv
University)*; Yoav Shalev (Tel Aviv University); Roy Nadler (Tel Aviv
University); Idan Schwartz (Technion); Lior Wolf (Tel Aviv University,
Israel) |
Wednesday |
10:00-10:15 |
36 |
114 |
Action and event
understanding |
Attributes-Aware
Network for Temporal Action Detection |
Rui Dai (INRIA)*;
Srijan Das (University of North Carolina at Charlotte); Michael S Ryoo (Stony
Brook/Google); Francois Bremond (Inria Sophia Antipolis, France) |
10:15-10:30 |
37 |
179 |
Action and event
understanding |
Boost Video Frame
Interpolation via Motion Adaptation |
Haoning Wu (Shanghai
Jiao Tong University); Xiaoyun Zhang (Shanghai Jiao Tong University)*; Weidi
Xie (Shanghai Jiao Tong University); Ya Zhang (Cooperative Medianet
Innovation Center, Shang hai Jiao Tong University); Yan-Feng Wang
(Cooperative medianet innovation center of Shanghai Jiao Tong University) |
10:30-10:45 |
38 |
589 |
Action and event
understanding |
Staged Contact-Aware
Global Human Motion Forecasting |
Luca Scofano
(Sapienza University of Rome); Alessio Sampieri (Sapienza University)*;
Elisabeth Schiele (Technische Universität München); Edoardo De Matteis
(Sapienza University of Rome); Laura Leal-Taixé (NVIDIA); Fabio Galasso
(Sapienza University) |
10:45-11:00 |
39 |
317 |
Action and event
understanding |
Spherical Vision
Transformer for 360° Video Saliency Prediction |
Mert Cokelek (Koç
University)*; Nevrez Imamoglu (AIST); Cagri Ozcinar (Samsung); Erkut Erdem
(Hacettepe University); Aykut Erdem (Koc University) |
11:45-12:00 |
40 |
402 |
Recognition/Identification/Detetcion |
Revisiting the
Encoding of Satellite Image Time Series |
Xin Cai (Ulster
University)*; Yaxin Bi (Ulster University); Peter Nicholl (Ulster
University); Roy Sterritt (Ulster University) |
12:00-12:15 |
41 |
10 |
Recognition/Identification/Detetcion |
Improving
Out-of-Distribution Detection Performance using Synthetic Outlier Exposure
Generated by Visual Foundation Models |
Gitaek Kwon (VUNO
Inc.); Jaeyoung Kim (VUNO Inc.)*; Hong-Jun Choi (VUNO Inc.); Byung-Moo Yoon
(Gachon University); Sungchul Choi (Pukyong National University); Kyu-Hwan
Jung (Sungkyunkwan University) |
12:15-12:30 |
42 |
82 |
Recognition/Identification/Detetcion |
Object-Centric
Multi-Task Learning for Human Instances |
Hyeongseok Son
(Samsung Advanced Institute of Technology)*; Sangil Jung (Samsung); Solae Lee
(Samsung Advanced Institute of Technology); Seongeun Kim (Samsung); Seung-In
Park (SAIT); ByungIn Yoo (Samsung Advanced Institute of Technology) |
12:30-12:45 |
43 |
197 |
Recognition/Identification/Detetcion |
Domain-Sum Feature
Transformation For Multi-Target Domain Adaptation |
Takumi Kobayashi
(National Institute of Advanced Industrial Science and Technology)*; Lincon
Souza (National Institute of Advanced Industrial Science and Technology
(AIST)); Kazuhiro Fukui (University of Tsukuba) |
12:45-13:00 |
44 |
192 |
Recognition/Identification/Detetcion |
MILA: Memory-Based
Instance-Level Adaptation for Cross-Domain Object Detection |
Onkar Krishna
(Hitachi Ltd.)*; Hiroki Ohashi (Hitachi Ltd); Saptarshi Sinha (University of
Bristol) |
15:30-15:45 |
45 |
617 |
Medical and
biological vision |
Learning Anatomically
Consistent Embedding for Chest Radiography |
Ziyu Zhou (Shanghai
Jiao Tong University); Haozhe Luo ( Arizona State University, USA ); Jiaxuan
Pang (Arizona State University); xiaowei ding (Shanghai Jiao Tong
University); Michael Gotway (Mayo Clinic); Jianming Liang (Arizona State
University, USA)* |
15:45-16:00 |
46 |
754 |
Medical and
biological vision |
Single-Landmark vs.
Multi-Landmark Deep Learning Approaches to Brain MRI Landmarking: a Case
Study with Healthy Controls and Down Syndrome Individuals |
Jordi Malé (La Salle
- Ramon Llull University)*; Yann Heuzé (CNRS, Univ. Bordeaux, MC, PACEA,
UMR5199); Juan Fortea (Hospital of Sant Pau); Neus Martinez Abadias
(Universitat de Barcelona); Xavier Sevillano (La Salle - Universitat Ramon
Llull) |
16:00-16:15 |
47 |
482 |
Medical and
biological vision |
BiUNet: Towards More
Effective UNet with Bi-Level Routing Attention |
Kun Dong (University
of Chinese Academy of Sciences); Jian Xue (University of Chinese Academy of
Sciences); Xing Lan (University of Chinese Academy of Sciences); Ke Lu
(University of Chinese Academy of Sciences)* |
16:15-16:30 |
48 |
575 |
Medical and
biological vision |
Dual-Query Multiple
Instance Learning for Dynamic Meta-Embedding based Tumor Classification |
Simon
Holdenried-Krafft (University of Tübingen)*; Peter Somers (University of
Tübingen); Ivonne Montes-Mojarro (University Hospital of Tübingen); Diana
Silimon (University Hospital of Tübingen); Cristina Tarín (University of
Stuttgart); Falko Fend (University Hospital of Tübingen); Hendrik P. A.
Lensch (University of Tübingen) |
16:30-16:45 |
49 |
806 |
Medical and
biological vision |
Adaptation of
Distinct Semantics for Uncertain Areas in Polyp Segmentation |
Quang Vinh Nguyen
(Chonnam National University)*; Van Thong Huynh (Chonnam National
University); Soo-Hyung Kim (Chonnam National University) |
16:45-17:00 |
50 |
152 |
Medical and
biological vision |
Primitive Geometry
Segment Pre-training for 3D Medical Image Segmentation |
Ryu Tadokoro (Tohoku
University)*; Ryosuke Yamada (University of Tsukuba, National Institute of
Advanced Industrial Science and Technology (AIST)); Kodai Nakashima
(CyberAgent, Univ. of Tsukuba, AIST); Ryo Nakamura (Fukuoka University,
National Institute of Advanced Industrial Science and Technology (AIST));
Hirokatsu Kataoka (National Institute of Advanced Industrial Science and
Technology (AIST)) |
17:00-17:15 |
51 |
881 |
Medical and
biological vision |
Rethinking Transfer
Learning for Medical Image Classification |
Le Peng (University
of Minnesota)*; Hengyue Liang (University of Minnesota); Gaoxiang Luo
(University of Minnesota); Taihui Li (University of Minnesota); Ju Sun
(University of Minnesota) |
17:15-17:30 |
52 |
730 |
Medical and
biological vision |
SA2-Net: Scale-aware
Attention Network for Cell Segmentation and Beyond |
Mustansar Fiaz
(MBZUAI)*; Moein Heidari (Iran University of Science and Technology); Rao
Muhammad Anwer (MBZUAI/AALTO); Hisham Cholakkal (MBZUAI) |
Thursday |
10:00-10:15 |
53 |
193 |
Human/Object Pose
Estimation |
Functional Hand Type
Prior for 3D Hand Pose Estimation and Action Recognition from Egocentric View
Monocular Videos |
WONSEOK ROH (Korea
University); Seung Hyun Lee (Korea University); Won Jeong Ryoo (Korea
University); Gyeongrok Oh (Korea University); Jakyung Lee (Korea University);
Sooyeon Hwang (Korea University Sejong); Hyung-gun Chi (Purdue University);
Sangpil Kim (Korea University)* |
10:15-10:30 |
54 |
609 |
Human/Object Pose
Estimation |
Cross-attention
Masked Auto-Encoder for Human 3D Motion Infilling and Denoising |
David Björkstrand
(KTH Royal Institute of Technology / Tracab)*; Josephine Sullivan (KTH Royal
Institute of Technology); Lars M C Bretzner (Tracab AB); Gareth Loy (TRACAB);
Tiesheng Wang (Tracab) |
10:30-10:45 |
55 |
167 |
Human/Object Pose
Estimation |
Efficient Vision
Transformer for Human Pose Estimation via Patch Selection |
Kaleab A Kinfu (Johns
Hopkins University)*; Rene Vidal (Johns Hopkins University, USA) |
10:45-11:00 |
56 |
543 |
Human/Object Pose
Estimation |
Robust and Efficient
Edge-guided Pose Estimation with Resolution-conditioned NeRF |
Liesbeth Claessens
(ETH Zurich)*; Fabian Manhardt (Google); Ricardo Martin-Brualla (Google);
Roland Siegwart (ETH Zürich, Autonomous Systems Lab); Cesar Cadena Lerma (ETH
Zurich); Federico Tombari (Google) |
11:45-12:00 |
57 |
329 |
Transfer, low-shot
learning & Segmentation |
Maskomaly: Zero-Shot
Mask Anomaly Segmentation |
Jan Ackermann (ETH
Zurich)*; Christos Sakaridis (ETH Zurich); Fisher Yu (ETH Zurich) |
12:00-12:15 |
58 |
606 |
Transfer, low-shot
learning & Segmentation |
STARS: Zero-shot
Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery |
Advaith V Sethuraman
(University of Michigan )*; Katherine A Skinner (University of Michigan) |
12:15-12:30 |
59 |
544 |
Transfer, low-shot
learning & Segmentation |
Re-Degradation and
Contrastive Learning for Zero-shot Underwater Image Restoration |
Nisha Varghese (IIT
Madras)*; Rajagopalan N Ambasamudram (Indian Institute of Technology Madras) |
12:30-12:45 |
60 |
566 |
Transfer, low-shot
learning & Segmentation |
Polarimetric Imaging
for Perception |
Michael Baltaxe
(General Motors)*; Tomer Pe'er (General Motors); Dan Levi (General Motors) |
12:45-13:00 |
61 |
95 |
Transfer, low-shot
learning & Segmentation |
SketchDreamer:
Interactive Text-Augmented Creative Sketch Ideation |
Zhiyu Qu (University
of Surrey)*; Tao Xiang (University of Surrey); Yi-Zhe Song (University of
Surrey) |
15:45-16:00 |
62 |
535 |
Faces and gestures |
Security Analysis on
Locality-Sensitive Hashing-based Biometric Template Protection Schemes |
Seunghun Paik
(Hanyang University); Sunpill Kim (Hanyang University); Jae Hong Seo (Hanyang
university)* |
16:00-16:15 |
63 |
506 |
Faces and gestures |
GestSync: Determining
who is speaking without a talking head |
Sindhu B Hegde
(University of Oxford)*; Andrew Zisserman (University of Oxford) |
16:15-16:30 |
64 |
282 |
Faces and gestures |
SlackedFace: Learning
a Slacked Margin for Low-Resolution Face Recognition |
Cheng Yaw Low
(Institute for Basic Science)*; Jacky Chen Long Chai (Yonsei University);
Jaewoo Park (Yonsei University); KYEONGJIN ANN (KAIST); Meeyoung Cha (KAIST
& IBS) |
16:30-16:45 |
65 |
598 |
Faces and gestures |
Unsupervised Landmark
Discovery Using Consistency-Guided Bottleneck |
Mamona Awan (MBZU);
Muhammad Haris Khan (Muhammad Bin Zayed University of Artificial
Intelligence)*; Sanoojan Baliah (Mohamed Bin Zayed University of Artificial
Intelligence); Muhammad Ahmad Waseem (Information Technology University);
Salman Khan (MBZUAI); Fahad Shahbaz Khan (MBZUAI); Arif Mahmood (Information
Technology University) |
16:45-17:00 |
66 |
105 |
Faces and gestures |
High-Fidelity Eye
Animatable Neural Radiance Fields for Human Face |
Hengfei Wang
(University of Birmingham); Zhongqun Zhang (University of Birmingham); Yihua
Cheng (University of Birmingham)*; Hyung Jin Chang (University of Birmingham) |
17:00-17:15 |
67 |
216 |
Faces and gestures |
READ Avatars:
Realistic Emotion-controllable Audio Driven Avatars |
Jack Saunders
(University of Bath)*; Vinay Namboodiri (University of Bath) |
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