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Claim this profileWorks253 from public data
- MLESAC: A New Robust Estimator with Application to Estimating Image Geometry2,696
A new robust estimator MLESAC is presented which is a generalization of the RANSAC estimator which adopts the same sampling strategy as RANSac to generate putative solutions, but chooses the solution that maximizes the likelihood rather than just the number of inliers.
- An Embarrassingly Simple Approach to Zero-Shot Learning1,359
This paper describes a zero-shot learning approach that can be implemented in just one line of code, yet it is able to outperform state of the art approaches on standard datasets.
- The StarCraft Multi-Agent Challenge1,324
The StarCraft Multi-Agent Challenge (SMAC), based on the popular real-time strategy game StarCraft II, is proposed as a benchmark problem and an open-source deep multi-agent RL learning framework including state-of-the-art algorithms is opened.
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- What, Where and How Many? Combining Object Detectors and CRFs370
A probabilistic framework for reasoning about regions, objects, and their attributes such as object class, location, and spatial extent is presented, which combines results from sliding window detectors, and low-level pixel-based unary and pairwise relations.
- Graph Cut Based Inference with Co-occurrence Statistics366
This paper considers a class of global potentials defined over all variables in the CRF to show how they can be readily optimised using standard graph cut algorithms at little extra expense compared to a standard pairwise field.
- Geometric motion segmentation and model selection350
This paper places the problems of model selection, robust estimation and clustering into a common statistical framework; investigating the use of information criteria and robust mixture models as a principled way for motion segmentation of images.
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- Robust parameterization and computation of the trifocal tensor325
This paper presents all algorithm for computing a maximum likelihood estimate (MLE) of the trifocal tensor and the proposed parameterization is compared to other existing methods.
- Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting299
This paper explores ways of automating the model selection process with specific emphasis on the least squares problem of fitting manifolds to data points, illustrated with respect to epipolar geometry.
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- Combining Appearance and Structure from Motion Features for Road Scene Understanding265
A framework for pixel-wise object segmentation of road scenes that combines motion and appearance features that is designed to handle street-level imagery such as that on Google Street View and Microsoft Bing Maps is presented.
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- The Landscape of Agentic Reinforcement Learning for LLMs: A Survey221
A comprehensive twofold taxonomy is proposed: one organized around core agentic capabilities, including planning, tool use, memory, reasoning, self-improvement, and perception, and the other around their applications across diverse task domains.
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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 2026-10-12. 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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