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Works419 from public data
- 6,164
- Robust wide-baseline stereo from maximally stable extremal regions5,266
The high utility of MSERs, multiple measurement regions and the robust metric is demonstrated in wide-baseline experiments on image pairs from both indoor and outdoor scenes.
- A Comparison of Affine Region Detectors3,526
A snapshot of the state of the art in affine covariant region detectors, and compares their performance on a set of test images under varying imaging conditions to establish a reference test set of images and performance software so that future detectors can be evaluated in the same framework.
- 3,285
- DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks1,732
DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance and is 5 times faster than the closest competitor - Deep-Deblur.
- 1,608
- XM2VTSDB: The Extended M2VTS Database1,581
This poster presents a poster presenting a probabilistic procedure for estimating the response of the immune system to laser-spot assisted surgery to treat central giant cell granuloma.
- 1,366
- 1,181
- 1,124
- Locally Optimized RANSAC1,024
The locally optimized ransac makes no new assumptions about the data, on the contrary – it makes the above-mentioned assumption valid by applying local optimization to the solution estimated from the random sample.
- 914
- The Visual Object Tracking VOT2015 Challenge Results902
The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance and presents a new VOT 2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute.
- 886
- Discriminative Correlation Filter Tracker with Channel and Spatial Reliability841
This work introduces the channel and spatial reliability concepts to DCF tracking and provides a learning algorithm for its efficient and seamless integration in the filter update and the tracking process.
- Working hard to know your neighbor's margins: Local descriptor learning loss818
A novel loss for learning local feature descriptors which is inspired by the Lowe's matching criterion for SIFT is introduced, and it is shown that the proposed loss that maximizes the distance between the closest positive and closest negative patch in the batch is better than complex regularization methods.
- The Sixth Visual Object Tracking VOT2018 Challenge Results804
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative; results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
- The Visual Object Tracking VOT2016 Challenge Results776
The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
- 685
- A Novel Performance Evaluation Methodology for Single-Target Trackers667
The requirements are the basis of a new evaluation methodology that aims at a simple and easily interpretable tracker comparison and a fully-annotated dataset with per-frame annotations with several visual attributes, which is the largest benchmark to date.
- Robust Detection of Lines Using the Progressive Probabilistic Hough Transform654
The progressive probabilistic Hough transform minimizes the amount of computation needed to detect lines by exploiting the difference in the fraction of votes needed to reliably detect lines with different numbers of supporting points.
- T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects614
Initial evaluation results indicate that the state of the art in 6D object pose estimation has ample room for improvement, especially in difficult cases with significant occlusion.
- A Method for Text Localization and Recognition in Real-World Images593
The paper is first to report both text detection and recognition results on the standard and rather challenging ICDAR 2003 dataset, and the text localization works for number of alphabets and the method is easily adapted to recognition of other scripts, e.g. cyrillics.
- The Visual Object Tracking VOT2014 Challenge Results588
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance and introduces a new dataset with full annotation of targets by rotated bounding boxes and per-frame attribute.
- BOP: Benchmark for 6D Object Pose Estimation571
A benchmark for 6D pose estimation of a rigid object from a single RGB-D input image shows that methods based on point-pair features currently perform best, outperforming template matching methods, learning-based methods and methodsbased on 3D local features.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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