Search Results for author: Julian Yarkony

Found 18 papers, 2 papers with code

Local Area Routes for Vehicle Routing Problems

no code implementations10 Jul 2022 Udayan Mandal, Amelia Regan, Julian Yarkony

Ng-routes are routes which are permitted to have non-localized cycles in space; this means that at least one intermediate customer (called a breaker) in the cycle must consider the starting customer in the cycle to be spatially far away.

Multi-Robot Routing with Time Windows: A Column Generation Approach

no code implementations16 Mar 2021 Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Amelia Regan, Julian Yarkony

We formulate the problem as a weighted set packing problem where the elements in consideration are items on the warehouse floor that can be picked up and delivered within specified time windows.

Autonomous Vehicles

Integer Programming for Multi-Robot Planning: A Column Generation Approach

no code implementations8 Jun 2020 Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Julian Yarkony

We consider the problem of coordinating a fleet of robots in a warehouse so as to maximize the reward achieved within a time limit while respecting problem and robot specific constraints.

Relaxed Dual Optimal Inequalities for Relaxed Columns: with Application to Vehicle Routing

no code implementations11 Apr 2020 Naveed Haghani, Claudio Contardo, Julian Yarkony

Smooth DOI exploit the observation that similar items are nearly fungible, and hence should be associated with similarly valued dual variables.

End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition

1 code implementation6 Dec 2019 Shaofei Wang, Vishnu Lokhande, Maneesh Singh, Konrad Kording, Julian Yarkony

These algorithms can efficiently and exactly solve sub-problems and directly optimize a convex upper bound of the real problem, providing optimality certificates on the way.

Image Segmentation Semantic Segmentation

Massively Parallel Benders Decomposition for Correlation Clustering

no code implementations15 Feb 2019 Margret Keuper, Jovita Lukasik, Maneesh Singh, Julian Yarkony

We tackle the problem of graph partitioning for image segmentation using correlation clustering (CC), which we treat as an integer linear program (ILP).

Clustering graph partitioning +2

Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation

no code implementations ECCV 2018 Shaofei Wang, Alexander Ihler, Konrad Kording, Julian Yarkony

We present a novel approach to solve dynamic programs (DP), which are frequent in computer vision, on tree-structured graphs with exponential node state space.

Multi-Person Pose Estimation

Accelerating Message Passing for MAP with Benders Decomposition

no code implementations13 May 2018 Julian Yarkony, Shaofei Wang

To circumvent the difficulty of enumerating the vector product of state spaces of hyper-variables we introduce a novel Benders decomposition approach.

Efficient Multi-Person Pose Estimation with Provable Guarantees

no code implementations21 Nov 2017 Shaofei Wang, Konrad Paul Kording, Julian Yarkony

We test our approach on the MPII-Multiperson dataset, showing that our approach obtains comparable results with the state-of-the-art algorithm for joint node labeling and grouping problems, and that NBD achieves considerable speed-ups relative to a naive dynamic programming approach.

Multi-Person Pose Estimation

Efficient Column Generation for Cell Detection and Segmentation

no code implementations21 Sep 2017 Chong Zhang, Shaofei Wang, Miguel A. Gonzalez-Ballester, Julian Yarkony

To solve this integer program, we propose a column generation formulation where the pricing program is solved via exact optimization of very small scale integer programs.

Cell Detection Instance Segmentation +2

Multi-Person Pose Estimation via Column Generation

no code implementations18 Sep 2017 Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester, Alexander Ihler, Julian Yarkony

We give a novel integer program formulation of the multi-person pose estimation problem, in which variables correspond to assignments of parts in the image to poses in a two-tier, hierarchical way.

Multi-Person Pose Estimation

Efficient Pose and Cell Segmentation using Column Generation

no code implementations1 Dec 2016 Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester, Julian Yarkony

We study the problems of multi-person pose segmentation in natural images and instance segmentation in biological images with crowded cells.

Cell Segmentation Efficient Exploration +3

Convex Optimization For Non-Convex Problems via Column Generation

no code implementations14 Feb 2016 Julian Yarkony, Kamalika Chaudhuri

We apply column generation to approximating complex structured objects via a set of primitive structured objects under either the cross entropy or L2 loss.

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