2020 |
Zhang, L., Wang, P., Shen, C., Liu, L., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Adaptive importance learning for improving lightweight image super-resolution network. International Journal of Computer Vision, 128(2), 479-499. DOI |
2020 |
Orlando, J., Fu, H., Barbossa Breda, J., van Keer, K., Bathula, D., Diaz-Pinto, A., . . . Bogunović, H. (2020). REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Analysis, 59, 21 pages. DOI |
2019 |
Zhang, L., Wang, P., Wei, W., Lu, H., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Unsupervised domain adaptation using robust class-wise matching. IEEE Transactions on Circuits and Systems for Video Technology, 29(5), 1339-1349. DOI Scopus2 WoS2 |
2019 |
Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Accurate Tensor Completion via Adaptive Low-Rank Representation.. IEEE transactions on neural networks and learning systems. DOI |
2019 |
Teney, D., Abbasnejad, E., & Hengel, A. V. D. (2019). On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints.. CoRR, abs/1909.13471. |
2019 |
Kellett, J., Barreto, R., Hengel, A., & Vogiatzis, N. (2019). How Might Autonomous Vehicles Impact the City? The Case of Commuting to Central Adelaide. Urban Policy and Research, 37(4), 442-457. DOI |
2019 |
Ward, B., Brien, C., Oakey, H., Pearson, A., Negrão, S., Schilling, R., . . . Van Den Hengel, A. (2019). High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal, 98(3), 555-570. DOI Scopus1 WoS1 Europe PMC1 |
2019 |
Teney, D., & Van Den Hengel, A. (2019). Actively seeking and learning from live data. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2019-June, 1940-1949. DOI |
2019 |
Manchin, A., Abbasnejad, E., & van den Hengel, A. (2019). Reinforcement Learning with Attention that Works: A Self-Supervised Approach. Communications in Computer and Information Science, 1143 CCIS, 223-230. DOI |
2019 |
Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Accurate imagery recovery using a multi-observation patch model. Information Sciences, 501, 724-741. DOI |
2019 |
Teney, D., Wang, P., Cao, J., Liu, L., Shen, C., & Hengel, A. V. D. (2019). V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices.. CoRR, abs/1907.12271. |
2019 |
Gong, D., Tan, M., Shi, Q., van den Hengel, A., & Zhang, Y. (2019). MPTV: matching pursuit based total variation minimization for image deconvolution. IEEE Transactions on Image Processing, 28(4), 1851-1865. DOI Scopus3 WoS2 |
2019 |
Wu, Z., Shen, C., & van den Hengel, A. (2019). Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition, 90, 119-133. DOI Scopus42 WoS17 |
2018 |
Lu, H., Shen, C., Cao, Z., Xiao, Y., & Van Den Hengel, A. (2018). An embarrassingly simple approach to visual domain adaptation. IEEE Transactions on Image Processing, 27(7), 3403-3417. DOI Scopus13 WoS6 |
2018 |
Hu, Q., Wang, P., Shen, C., Van Den Hengel, A., & Porikli, F. (2018). Pushing the limits of deep CNNs for pedestrian detection. IEEE Transactions on Circuits and Systems for Video Technology, 28(6), 1358-1368. DOI Scopus18 WoS13 |
2018 |
Wu, Q., Shen, C., Wang, P., Dick, A., & van den Hengel, A. (2018). Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1367-1381. DOI Scopus42 WoS27 |
2018 |
Zhang, L., Wei, W., Zhang, Y., Shen, C., van den Hengel, A., & Shi, Q. (2018). Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction. International Journal of Computer Vision, 126(8), 797-821. DOI Scopus35 WoS35 |
2017 |
Teney, D., Wu, Q., & Van Den Hengel, A. (2017). Visual Question Answering: a tutorial. IEEE Signal Processing Magazine, 34(6), 63-75. DOI Scopus7 WoS3 |
2017 |
Ball, D., Upcroft, B., van Henten, E., van den Hengel, A., Tokekar, P., & Das, J. (2017). JFR Special Issue on Agricultural Robotics. Journal of Field Robotics, 34(6), 1037-1038. DOI |
2017 |
Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). FVQA: fact-based Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10), 2413-2427. DOI Scopus13 WoS7 |
2017 |
Wu, Q., Teney, D., Wang, P., Shen, C., Dick, A. R., & Hengel, A. V. D. (2017). Visual question answering: A survey of methods and datasets.. Comput. Vis. Image Underst., 163, 21-40. |
2017 |
Shinmoto Torres, R., Shi, Q., van den Hengel, A., & Ranasinghe, D. (2017). A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive and Mobile Computing, 40, 1-16. DOI Scopus6 WoS6 |
2017 |
Yao, R., Shi, Q., Shen, C., Zhang, Y., & Van Den Hengel, A. (2017). Part-based robust tracking using online latent structured learning. IEEE Transactions on Circuits and Systems for Video Technology, 27(6), 1235-1248. DOI Scopus4 WoS4 |
2017 |
Abbasnejad, M., Shi, Q., Abbasnejad, I., Hengel, A., & Dick, A. (2017). Bayesian Conditional Generative Adverserial Networks.. CoRR, abs/1706.05477. |
2017 |
Liu, L., Wang, P., Shen, C., Wang, L., van den Hengel, A., Wang, C., & Shen, H. (2017). Compositional model based Fisher vector coding for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2335-2348. DOI Scopus16 WoS7 |
2017 |
Qiao, R., Liu, L., Shen, C., & van den Hengel, A. (2017). Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition, 66, 202-212. DOI Scopus29 WoS20 |
2017 |
Wu, L., Chunhua, S., & Van Den Hengel, A. (2017). Deep linear discriminant analysis on fisher networks: a hybrid architecture for person re-identification. Pattern Recognition, 65, 238-250. DOI Scopus94 WoS70 |
2017 |
Wang, P., Shen, C., Van Den Hengel, A., & Torr, P. (2017). Large-scale binary quadratic optimization using semidefinite relaxation and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(3), 470-485. DOI Scopus9 WoS7 |
2017 |
Paisitkriangkrai, S., Wu, L., Shen, C., & van den Hengel, A. (2017). Structured learning of metric ensembles with application to person re-identification. Computer Vision and Image Understanding, 156, 51-65. DOI Scopus8 WoS5 |
2017 |
Teney, D., & Hengel, A. V. D. (2017). Visual Question Answering as a Meta Learning Task.. CoRR, abs/1711.08105. |
2017 |
Wu, Q., Teney, D., Wang, P., Shen, C., Dick, A., & van den Hengel, A. (2017). Visual question answering: a survey of methods and datasets. Computer Vision and Image Understanding, 163, 21-40. DOI Scopus49 WoS28 |
2017 |
Li, Y., Liu, L., Shen, C., & Hengel, A. (2017). Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision, 121(3), 344-364. DOI Scopus13 WoS8 |
2016 |
Paisitkriangkrai, S., Sherrah, J., Janney, P., & Van Den Hengel, A. (2016). Semantic labeling of aerial and satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(7), 2868-2881. DOI Scopus64 WoS47 |
2016 |
Zhang, L., Wei, W., Zhang, Y., Shen, C., Van Den Hengel, A., & Shi, Q. (2016). Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing. IEEE Transactions on Geoscience and Remote Sensing, 54(12), 7223-7235. DOI Scopus29 WoS23 |
2016 |
Liu, F., Shen, C., Reid, I., & Van Den Hengel, A. (2016). Online unsupervised feature learning for visual tracking. Image and Vision Computing, 51, 84-94. DOI Scopus9 WoS7 |
2016 |
Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2016). Pedestrian detection with spatially pooled features and structured ensemble learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(6), 1243-1257. DOI Scopus61 WoS48 Europe PMC4 |
2016 |
Wigley, P., Everitt, P., Van Den Hengel, A., Bastian, J., Sooriyabandara, M., Mcdonald, G., . . . Hush, M. (2016). Fast machine-learning online optimization of ultra-cold-atom experiments. Scientific Reports, 6(1), 25890-1-25890-6. DOI Scopus48 WoS42 Europe PMC10 |
2016 |
Wang, P., Shen, C., van den Hengel, A., & Torr, P. (2016). Efficient semidefinite branch-and-cut for MAP-MRF inference. International Journal of Computer Vision, 117(3), 269-289. DOI Scopus2 WoS1 |
2016 |
Shinmoto Torres, R., Visvanathan, R., Hoskins, S., Van den Hengel, A., & Ranasinghe, D. (2016). Effectiveness of a batteryless and wireless wearable sensor system for identifying bed and chair exits in healthy older people. Sensors, 16(4), 546-1-546-17. DOI Scopus9 WoS7 Europe PMC5 |
2016 |
Hu, Q., Paisitkriangkrai, S., Shen, C., Van Den Hengel, A., & Porikli, F. (2016). Fast detection of multiple objects in traffic scenes with a common detection framework. IEEE Transactions on Intelligent Transportation Systems, 17(4), 1002-1014. DOI Scopus34 WoS23 |
2016 |
Teney, D., & Hengel, A. (2016). Zero-Shot Visual Question Answering.. CoRR, abs/1611.05546. |
2016 |
Liu, L., Shen, C., & van den Hengel, A. (2016). Cross-convolutional-layer pooling for image recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(11), 2305-2313. DOI Scopus23 WoS14 Europe PMC2 |
2016 |
Lin, G., Shen, C., Hengel, A., & Reid, I. (2016). Exploring context with deep structured models for semantic segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1352-1366. DOI Scopus22 WoS21 Europe PMC1 |
2015 |
Shen, F., Shen, C., Shi, Q., Van Den Hengel, A., Tang, Z., & Shen, H. (2015). Hashing on nonlinear manifolds. IEEE Transactions on Image Processing, 24(6), 1839-1851. DOI Scopus93 WoS82 Europe PMC13 |
2015 |
Szpak, Z., Chojnacki, W., & van den Hengel, A. (2015). Guaranteed ellipse fitting with a confidence region and an uncertainty measure for centre, axes, and orientation. Journal of Mathematical Imaging and Vision, 52(2), 173-199. DOI Scopus17 WoS15 |
2015 |
Shi, Q., Reid, M., Caetano, T., Van Den Hengel, A., & Wang, Z. (2015). A hybrid loss for multiclass and structured prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(1), 2-12. DOI Scopus2 WoS1 |
2015 |
Li, H., Shen, C., Van Den Hengel, A., & Shi, Q. (2015). Worst case linear discriminant analysis as scalable semidefinite feasibility problems. IEEE Transactions on Image Processing, 24(8), 2382-2392. DOI Scopus5 WoS5 |
2015 |
Lin, G., Shen, C., & van den Hengel, A. (2015). Supervised hashing using graph cuts and boosted decision trees. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11), 2317-2331. DOI Scopus50 WoS38 Europe PMC6 |
2015 |
Chojnacki, W., Szpak, Z., Brooks, M., & van Den Hengel, A. (2015). Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Machine Vision and Applications, 26(2-3), 401-422. DOI Scopus2 WoS3 |
2014 |
Shen, C., Lin, G., & van den Hengel, A. (2014). StructBoost: boosting methods for predicting structured output variables. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(10), 2089-2103. DOI Scopus10 WoS4 |
2014 |
Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2014). Large-margin learning of compact binary image encodings. IEEE Transactions on Image Processing, 23(9), 4041-4054. DOI Scopus1 WoS1 Europe PMC1 |
2014 |
Shen, C., Kim, J., Liu, F., Wang, L., & van den Hengel, A. (2014). Efficient dual approach to distance metric learning. IEEE Transactions on Neural Networks and Learning Systems, 25(2), 394-406. DOI Scopus25 WoS22 Europe PMC6 |
2014 |
Paisitkriangkrai, S., Shen, C., & van den Hengel, A. (2014). Asymmetric pruning for learning cascade detectors. IEEE Transactions on Multimedia, 16(5), 1254-1267. DOI Scopus4 WoS2 |
2014 |
Paisitkriangkrai, S., Shen, C., Shi, Q., & van den Hengel, A. (2014). RandomBoost: simplified multiclass boosting through randomization. IEEE Transactions on Neural Networks and Learning Systems, 25(4), 764-779. DOI Scopus6 WoS7 Europe PMC1 |
2014 |
Li, Y., Jia, W., Shen, C., & van den Hengel, A. (2014). Characterness: an indicator of text in the wild. IEEE Transactions on Image Processing, 23(4), 1666-1677. DOI Scopus61 WoS49 Europe PMC5 |
2014 |
Szpak, Z., Chojnacki, W., Eriksson, A., & van den Hengel, A. (2014). Sampson distance based joint estimation of multiple homographies with uncalibrated cameras. Computer Vision and Image Understanding, 125, 200-213. DOI Scopus13 WoS9 |
2014 |
Shen, F., Shen, C., Hill, R., Van Den Hengel, A., & Tang, Z. (2014). Fast approximate L∞ minimization: speeding up robust regression. Computational Statistics & Data Analysis, 77, 25-37. DOI Scopus12 WoS11 |
2014 |
Paisitkriangkrai, S., Shen, C., & Van Den Hengel, A. (2014). A scalable stagewise approach to large-margin multiclass loss-based boosting. IEEE Transactions on Neural Networks and Learning Systems, 25(5), 1002-1013. DOI Scopus8 WoS9 Europe PMC2 |
2013 |
Li, X., Dick, A., Shen, C., Van Den Hengel, A., & Wang, H. (2013). Incremental learning of 3D-DCT compact representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), 863-881. DOI Scopus73 WoS58 Europe PMC6 |
2013 |
Shen, C., Wang, P., Paisitkriangkrai, S., & Van Den Hengel, A. (2013). Training effective node classifiers for cascade classification. International Journal of Computer Vision, 103(3), 326-347. DOI Scopus22 WoS17 |
2013 |
Luo, L., Shen, C., Zhang, C., & Van Den Hengel, A. (2013). Shape similarity analysis by self-tuning locally constrained mixed-diffusion. IEEE Transactions on Multimedia, 15(5), 1174-1183. DOI Scopus16 WoS12 |
2013 |
Shen, C., Li, H., & Van Den Hengel, A. (2013). Fully corrective boosting with arbitrary loss and regularization. Neural Networks, 48, 44-58. DOI Scopus6 WoS5 Europe PMC2 |
2013 |
Li, X., Dick, A., Shen, C., Zhang, Z., Van Den Hengel, A., & Wang, H. (2013). Visual tracking with spatio-temporal Dempster-Shafer information fusion. IEEE Transactions on Image Processing, 22(8), 3028-3040. DOI Scopus24 WoS25 Europe PMC4 |
2013 |
Chojnacki, W., & Van Den Hengel, A. (2013). On the dimension of the set of two-view multi-homography matrices. Complex Analysis and Operator Theory, 7(2), 465-484. DOI Scopus3 WoS4 |
2013 |
Shen, F., Shen, C., Van Den Hengel, A., & Tang, Z. (2013). Approximate least trimmed sum of squares fitting and applications in image analysis. IEEE Transactions on Image Processing, 22(5), 1836-1847. DOI Scopus25 WoS18 |
2013 |
Chen, Y., Dick, A., Li, X., & Van Den Hengel, A. (2013). Spatially aware feature selection and weighting for object retrieval. Image and Vision Computing, 31(12), 935-948. DOI Scopus11 WoS6 |
2013 |
Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Van Den Hengel, A. (2013). A survey of appearance models in visual object tracking. ACM Transactions on Intelligent Systems and Technology, 4(58), 1-48. DOI Scopus489 WoS423 |
2012 |
Chen, Y., Li, X., Dick, A., & Van Den Hengel, A. (2012). Boosting object retrieval with group queries. IEEE Signal Processing Letters, 19(11), 765-768. DOI Scopus8 WoS6 |
2012 |
Eriksson, A., & Van Den Hengel, A. (2012). Efficient computation of robust weighted low-rank matrix approximations using the L₁ norm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(9), 1681-1690. DOI Scopus40 WoS28 Europe PMC6 |
2012 |
Shen, C., Kim, J., Wang, L., & Van Den Hengel, A. (2012). Positive semidefinite metric learning using boosting-like algorithms. Journal of Machine Learning Research (Print), 13(0), 1007-1036. Scopus62 WoS49 |
2011 |
Yoon, H., Van Den Hengel, A., Reitmayr, G., Lifton, J., Lee, S., & Woo, W. (2011). Toward a Digital Ecosystem: International Symposium on Ubiquitous Virtual Reality 2010. IEEE Pervasive Computing, 10(2), 90-93. DOI Scopus1 |
2010 |
Stothard, P., & Van Den Hengel, A. (2010). Development of serious computer game based training module and its integration into working at heights mine site induction - Part I. Transactions of the Institution of Mining and Metallurgy Section A-Mining Industry, 119(2), 68-78. DOI Scopus3 |
2010 |
Stothard, P., & Van Den Hengel, A. (2010). Development of a serious computer game based training module and its integration into working at heights mine site induction - Paper II. Transactions of the Institution of Mining and Metallurgy Section A-Mining Industry, 119(4), 199-204. DOI Scopus1 |
2009 |
Van Den Hengel, A., Sale, D., & Dick, A. (2009). SecondSkin: An interactive method for appearance transfer. Computer Graphics Forum, 28(7 Sp Iss), 1735-1744. DOI Scopus1 WoS1 |
2008 |
Flint, A., Dick, A., & Van Den Hengel, A. (2008). Local 3D structure recognition in range images. IET Computer Vision, 2(4), 208-217. DOI Scopus26 WoS22 |
2008 |
Detmold, H., Van Den Hengel, A., Dick, A., Falkner, K., Munro, D., & Morrison, R. (2008). Middleware for distributed video surveillance. IEEE Distributed Systems Online, 9(2), 1-11. DOI Scopus27 |
2008 |
Van Den Hengel, A., & Dick, A. (2008). Image based modelling with VideoTrace. Computer Graphics, 42(2), 2-1-2-8. DOI |
2007 |
Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2007). Video Trace: rapid interactive scene modelling from video. ACM Transactions on Graphics, 26(3), 86-1-86-5. DOI Scopus89 WoS68 |
2007 |
Shen, C., Brooks, M., & Van Den Hengel, A. (2007). Fast global kernel density mode seeking: Applications to localization and tracking. IEEE Transactions on Image Processing, 16(5), 1457-1469. DOI Scopus66 WoS48 Europe PMC4 |
2005 |
Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2005). FNS, CFNS and HEIV: A unifying approach. Journal of Mathematical Imaging and Vision, 23(2), 175-183. DOI Scopus28 WoS19 |
2004 |
Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2004). From FNS to HEIV: A link between two vision parameter estimation methods. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2), 264-268. DOI Scopus28 WoS24 Europe PMC2 |
2004 |
Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2004). A new constrained parameter estimator for computer vision applications. Image and Vision Computing, 22(2), 85-91. DOI Scopus34 WoS24 |
2003 |
Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2003). Revisiting Hartley's normalized eight-point algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), 1172-1177. DOI Scopus48 WoS37 |
2001 |
Chojnacki, W., Brooks, M., & Van Den Hengel, A. (2001). Rationalising the renormalisation method of Kanatani. Journal of Mathematical Imaging and Vision, 14(1), 21-38. DOI Scopus40 WoS34 |
2000 |
Chojnacki, W., Brooks, M., Van Den Hengel, A., & Gawley, D. (2000). On the fitting of surfaces to data with covariances. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 1294-1303. DOI Scopus131 WoS106 |
2000 |
Kanatani, K., Shimizu, Y., Ohta, N., Brooks, M., Chojnacki, W., & Van Den Hengel, A. (2000). Fundamental matrix from optical flow: optimal computation and reliability evaluation. Journal of Electronic Imaging, 9(2), 194-202. DOI Scopus9 WoS7 |
— |
Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). Real-time Semantic Image Segmentation via Spatial Sparsity. |
— |
Zhuang, B., Wu, Q., Shen, C., Reid, I., & Hengel, A. V. D. (n.d.). Care about you: towards large-scale human-centric visual relationship detection. |
— |
Qiao, R., Liu, L., Shen, C., & Hengel, A. V. D. (n.d.). Visually Aligned Word Embeddings for Improving Zero-shot Learning. |
— |
Wu, L., Shen, C., & Hengel, A. V. D. (n.d.). PersonNet: Person Re-identification with Deep Convolutional Neural Networks. |
— |
Wu, L., Shen, C., & Hengel, A. V. D. (n.d.). Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach. |
— |
Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). Bridging Category-level and Instance-level Semantic Image Segmentation. |
— |
Wu, Z., Shen, C., & Hengel, A. V. D. (n.d.). High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks. |
— |
Wang, P., Liu, L., Shen, C., Hengel, A. V. D., & Shen, H. T. (n.d.). Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution. |
— |
Shen, C., Paisitkriangkrai, S., & Hengel, A. V. D. (n.d.). A Direct Approach to Multi-class Boosting and Extensions. |
— |
Shen, C., Wang, P., & Hengel, A. V. D. (n.d.). Optimally Training a Cascade Classifier. |
— |
Wang, X., Liu, Y., Shen, C., Ng, C. C., Luo, C., Jin, L., . . . Wang, L. (n.d.). On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. |
— |
Teney, D., Abbasnejad, E., & Hengel, A. V. D. (n.d.). Unshuffling Data for Improved Generalization. |