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20142023
most citedMultiple Object Tracking: A Literature Review

1.1k citations · 1.6k across the 68 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 13 cited

Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction

Pedro Castro, Anil Armagan, Tae-Kyun Kim

Current 6D object pose methods consist of deep CNN models fully optimized for a single object but with its architecture standardized among objects with different shapes. In contras…

cs.CV2019★ 5 cited

Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning

Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim

In this work, we explore how a strategic selection of camera movements can facilitate the task of 6D multi-object pose estimation in cluttered scenarios while respecting real-world…

cs.CV2019★ 39 cited

Sampling Strategies for GAN Synthetic Data

Binod Bhattarai, Seungryul Baek, Rumeysa Bodur +1

Generative Adversarial Networks (GANs) have been used widely to generate large volumes of synthetic data. This data is being utilized for augmenting with real examples in order to…

cs.CV2019

Real-time Background-aware 3D Textureless Object Pose Estimation

Mang Shao, Danhang Tang, Tae-Kyun Kim

In this work, we present a modified fuzzy decision forest for real-time 3D object pose estimation based on typical template representation. We employ an extra preemptive background…

cs.CV2019

AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification

Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim

Augmenting data in image space (eg. flipping, cropping etc) and activation space (eg. dropout) are being widely used to regularise deep neural networks and have been successfully a…

cs.CV2019

Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering

Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

Estimating 3D hand meshes from single RGB images is challenging, due to intrinsic 2D-3D mapping ambiguities and limited training data. We adopt a compact parametric 3D hand model t…

cs.CV2019

Instance- and Category-level 6D Object Pose Estimation

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock +1

6D object pose estimation is an important task that determines the 3D position and 3D rotation of an object in camera-centred coordinates. By utilizing such a task, one can propose…