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All publications
[37] Sengupta, A., Budvytis, I., Cipolla, R.
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, June 2023.
[36] Xue, F., Budvytis, I., Cipolla, R.
SFD2: Semantic-guided Feature Detection and Description [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, June 2023.
[35] Xue, F., Budvytis, I., Cipolla, R.
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, June 2023.
[34] Logothetis, F., Mecca, R., Budvytis, I., Cipolla,R.,
A CNN based Approach for the Point-Light Photometric Stereo Problem [pdf]
International Journal of Computer Vision (IJCV), 131(1):101-120, 2023.
[33] Bae, G., Budvytis, I., Cipolla, R.
Irondepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty [pdf] [oral presentation]
In Proc. British Machine Vision Conference (BMVC), London, November 2022.
[32] Langer, F., Bae, G., Budvytis, I., Cipolla, R.
SPARC: Sparse Render-and-Compare for CAD Model Alignment in a Single RGB Image [pdf]
In Proc. British Machine Vision Conference (BMVC), London, November 2022.
[31] Xue, F., Budvytis, I., Reino, D.O., Cipolla, R.
Efficient Large-Scale Localization by Global Instance Recognition [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, June 2022.
[30] Bae, G., Budvytis, I., Cipolla, R.
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, June 2022.
[29] Zhao, C., Budvytis, I., Liwicki, S., Cipolla, R.
Lifted Semantic Graph Embedding for Omnidirectional Place Recognition [pdf]
In Proc. International Conference on 3D Vision (3DV), Virtual, December 2021.
[28] Sengupta, A., Budvytis, I., Cipolla, R.
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model [pdf]
In Proc. British Machine Vision Conference (BMVC), Virtual, September 2021.
[27] Langer, F., Budvytis, I., Cipolla, R.
Leveraging Geometry for Shape Estimation from a Single RGB Image [pdf]
In Proc. British Machine Vision Conference (BMVC), Virtual, September 2021.
[26] Mecca, R., Logothetis, F., Budvytis, I., Cipolla, R.
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo [pdf]
In Proc. British Machine Vision Conference (BMVC), Virtual, September 2021.
[25] Bae, G., Budvytis, I., Cipolla, R.
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation [pdf] [oral presentation]
In Proc. IEEE International Conference on Computer Vision (ICCV), Virtual, October 2021.
[24] Sengupta, A., Budvytis, I., Cipolla, R.
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild [pdf][code]
In Proc. IEEE International Conference on Computer Vision (ICCV), Virtual, October 2021.
[23] Logothetis, F., Budvytis, I., Mecca, R., Cipolla, R.
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks [pdf]
In Proc. IEEE International Conference on Computer Vision (ICCV), Virtual, October 2021.
[22] Sengupta, A., Budvytis, I., Cipolla, R.
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 2021.
[21] Vojir, T., Budvytis, I., Cipolla, R.
Efficient Large-Scale Semantic Visual Localization in 2D Maps [pdf][oral presentation]
In Proc. Asian Conference on Computer Vision (ACCV), Virtual Kyoto, November 2020.
[20] Zhang, C., Budvytis, I., Liwicki, S., Cipolla, R.
Rotation Equivariant Orientation Estimation for Omnidirectional Localization [pdf]
In Proc. Asian Conference on Computer Vision (ACCV), Virtual Kyoto, November 2020.
[19] Logothetis, F., Budvytis, I., Mecca, R., Cipolla, R.
A CNN based approach for the near-field photometric stereo problem [pdf][oral presentation] - Best industry paper prize
In Proc. British Machine Vision Conference (BMVC), Virtual, September 2020.
[18] Sengupta, A., Budvytis, I., Cipolla, R.
Synthetic training for accurate 3d human pose and shape estimation in the wild [pdf]
In Proc. British Machine Vision Conference (BMVC), Virtual, September 2020.
[17] Bae, G., Budvytis, I., Yeung, C-K., Cipolla, R.
Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video [pdf]
In Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, September 2020
[16] Budvytis*, I., Teichmann*, M., Vojir*, T., Cipolla, R.,
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression. [pdf]
In Proc. British Machine Vision Conference (BMVC), Cardiff, September 2019
* - indicates equal contribution
[15] Budvytis, I., Sauer, P., Cipolla, R.,
Semantic localisation via globally unique instance segmentation. [pdf][dataset-available-via-email]
In Proc. British Machine Vision Conference (BMVC), Newcastle, September 2018
[14] Budvytis, I., Sauer, P., Roddick, T., Breen, K., Cipolla, R.,
Large scale labelled video data augmentation for semantic segmentation in driving scenarios. [code][pdf][dataset-available-via-email]
In 5th Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving in IEEE International Conference on Computer Vision (ICCV), Venice, October 2017
[13] Tan, J., Budvytis, I., Cipolla, R.,
Indirect deep structured learning for 3D human body shape and pose prediction. [pdf] [oral presentation] [slides-pdf]
In Proc. British Machine Vision Conference (BMVC), London, September 2017
[12] Charles, J., Budvytis, I., Cipolla, R.,
Real-time Factored ConvNets: Extracting the X Factor in Human Parsing. [pdf]
In Proc. British Machine Vision Conference (BMVC), London, September 2017
[11] Badrinarayanan, V., Budvytis, I., Cipolla,R.,
Mixture of Trees Probabilistic Graphical Model for Video Segmentation. [pdf]
International Journal of Computer Vision (IJCV), BMVC12 special issue, December 2013
[10] Budvytis, I., advised by Badrinarayanan V., supervised by Cipolla, R.,
Novel Probabilistic Graphical Models for Semi-Supervised Video Segmentation. [pdf]
PhD Thesis, 2013.
[9] Badrinarayanan V., Budvytis, I., Cipolla, R.,
Semi-Supervised Video Segmentation using Tree Structured Graphical
Models. [pdf]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013.
[8] Badrinarayanan V., Budvytis I., Cipolla, R.,
Semi-Supervised Video Segmentation using Random Forests. [to buy]
Book Chapter in Decision Forests: for Computer Vision and Medical Image
Analysis, Edited by Criminisi A., Shotton J., Springer 2013.
[7] Budvytis, I., Badrinarayanan, V., Cipolla, R.,
MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. [pdf] [oral presentation]
In Proc. British Machine Vision Conference, Surrey, September 2012
[6] Kim, T-K., Budvytis, I., Cipolla, R.,
Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation. [pdf]
International Journal of Computer Vision (IJCV), BMVC10 special issue, June 2011.
[5] Budvytis, I., Badrinarayanan, V., Cipolla, R.,
Semi-Supervised Video Segmentation using Tree Structured Graphical Models. [pdf]
In Proc. IEEE Conference on Computer Vision and Pattern Recognition,
Colorado Springs, June 2011.
[4] Budvytis I., Badrinarayanan V., Cipolla R.,
Label Propagation in Complex Video Sequences using Semi-Supervised Learning. [pdf]
In Proc. British Machine Vision Conference, Aberystwyth, September 2010.
[3] Budvytis* I., Kim*, T-K., Cipolla R.,
Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier. [pdf] [oral presentation]
In Proc. British Machine Vision Conference, Aberystwyth, September 2010.
* indicates equal contribution
[2] Budvytis, I., Scott, J., Butler, A.,
Compass-Based Automatic Picture Taking using SenseCam. [pdf]
In Adj. Proc. of Pervasive 2008, Sydney, May 2008.
[1] Blackwell, A.F., Bailey, G., Budvytis, I., Chen, V., Church, L., Dubuc, L., Edge, D., Linnap, M., Naudziunas, V. and Warrington, H.
Tangible interaction in a mobile context. [pdf]
Workshop on Tangible user interfaces in context and theory in CHI 2007,
San Jose, California, May 2007.