Search Results for author:
Found 19 papers, 8 papers with code
MFT: Long-Term Tracking of Every Pixel
We propose MFT -- Multi-Flow dense Tracker -- a novel method for dense, pixel-level, long-term tracking.
DocILE Benchmark for Document Information Localization and Extraction
This paper introduces the DocILE benchmark with the largest dataset of business documents for the tasks of Key Information Localization and Extraction and Line Item Recognition.
Matching with AffNet based rectifications
We consider the problem of two-view matching under significant viewpoint changes with view synthesis.
A Discriminative Single-Shot Segmentation Network for Visual Object Tracking
D3S2 outperforms the leading segmentation tracker SiamMask on video object segmentation benchmarks and performs on par with top video object segmentation algorithms.
Monocular Arbitrary Moving Object Discovery and Segmentation
We propose a method for discovery and segmentation of objects that are, or their parts are, independently moving in the scene.
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset
Interestingly, ViT achieves results superior to CNN baselines with 80. 45% accuracy and 0. 743 macro F1 score, reducing the CNN error by 9% and 12% respectively.
Ranked #1 on
Image Classification
on DF20
D3S -- A Discriminative Single Shot Segmentation Tracker
D3S outperforms the leading segmentation tracker SiamMask on video object segmentation benchmark and performs on par with top video object segmentation algorithms, while running an order of magnitude faster, close to real-time.
Non-Causal Tracking by Deblatting
Tracking by Deblatting stands for solving an inverse problem of deblurring and image matting for tracking motion-blurred objects.
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects
We introduce a new video analysis problem -- tracking of rigid planar objects in sequences where both their sides are visible.
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed.
Performance Evaluation Methodology for Long-Term Visual Object Tracking
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed.
Intra-frame Object Tracking by Deblatting
We propose a novel approach called Tracking by Deblatting based on the observation that motion blur is directly related to the intra-frame trajectory of an object.
Ranked #2 on
Video Super-Resolution
on TbD
Leveraging Outdoor Webcams for Local Descriptor Learning
We present AMOS Patches, a large set of image cut-outs, intended primarily for the robustification of trainable local feature descriptors to illumination and appearance changes.
Continual Occlusions and Optical Flow Estimation
We show that providing occlusion masks as an additional input to flow estimation improves the standard performance metric by more than 25\% on both KITTI and Sintel.
Ranked #14 on
Optical Flow Estimation
on Sintel-final
Now you see me: evaluating performance in long-term visual tracking
We propose a new long-term tracking performance evaluation methodology and present a new challenging dataset of carefully selected sequences with many target disappearances.
Depth Masked Discriminative Correlation Filter
Depth information provides a strong cue for occlusion detection and handling, but has been largely omitted in generic object tracking until recently due to lack of suitable benchmark datasets and applications.
FuCoLoT -- A Fully-Correlational Long-Term Tracker
We propose FuCoLoT -- a Fully Correlational Long-term Tracker.
Discriminative Correlation Filter with Channel and Spatial Reliability
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance.
Ranked #13 on
Visual Object Tracking
on VOT2017/18
(using extra training data)
Efficient Scene Text Localization and Recognition with Local Character Refinement
An unconstrained end-to-end text localization and recognition method is presented.
Ranked #14 on
Scene Text Detection
on ICDAR 2013
