Open AccessPosted Content
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov,Leonid Pishchulin,Bjoern Andres,Mykhaylo Andriluka,Mykhaylo Andriluka,Bernt Schiele +5 more
TL;DR: In this paper, an incremental optimization strategy was proposed to explore the search space more efficiently, leading both to better performance and significant speed-up factors for multi-person pose estimation.
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Abstract: The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part detectors that generate effective bottom-up proposals for body parts; (2) novel image-conditioned pairwise terms that allow to assemble the proposals into a variable number of consistent body part configurations; and (3) an incremental optimization strategy that explores the search space more efficiently thus leading both to better performance and significant speed-up factors. Evaluation is done on two single-person and two multi-person pose estimation benchmarks. The proposed approach significantly outperforms best known multi-person pose estimation results while demonstrating competitive performance on the task of single person pose estimation. Models and code available at this http URL
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Citations
Towards Automatic Human Body Model Fitting to a 3D Scan
Alexandre Saint,Abd El Rahman Shabayek,Djamila Aouada,Bjorn Ottersten,Kseniya Cherenkova,Gleb Gusev +5 more
- 11 Oct 2017
TL;DR: This paper presents a method to automatically recover a realistic and accurate body shape of a person wearing clothing from a 3D scan, and takes advantage of the robustness of state-of-art 2D joint detectors.
10
Chemogenetic modulation of sensory afferents induces locomotor changes and plasticity after spinal cord injury
Jaclyn T. Eisdorfer,Hannah Sobotka-Briner,Susan Schramfield,George Moukarzel,Jie Chen,Thomas J. Campion,Rupert D. Smit,Bradley C. Rauscher,Michel A. Lemay,George M. Smith,Andrew J. Spence +10 more
TL;DR: Transduced and activated lumbar large diameter peripheral afferents with excitatory (hM3Dq) DREADDs, in a manner analogous to EES in a rat hemisection model, to begin to trace plasticity and observe concomitant locomotor changes.
10
Complex Human Pose Estimation via Keypoints Association Constraint Network
TL;DR: Experiments show that this method can effectively suppress background interference to improve the accuracy of complex human pose estimation and accurately locate, classify, and connect the human body keypoints robustly.
10
CSI-Former: Pay More Attention to Pose Estimation with WiFi
TL;DR: In this paper , the authors proposed a CSI-former architecture to integrate the multi-head attention in the WiFi-based pose estimation network, which can significantly improve the performance in wireless pose estimation.
Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking
Zeyu Fu,Syed Mohsen Naqvi,Jonathon A. Chambers +2 more
- 10 Jul 2018
TL;DR: A robust fusion center at the track level is proposed, which manages to perform Generalized Intersection Covariance fusions for survival and birth tracks independently, and also eliminates false tracks caused by a cluttered environment.
10
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