779 citations · 1.1k across the 10 of their papers we have counts for
10 papers
AnthroNet: Conditional Generation of Humans via Anthropometrics
Francesco Picetti, Shrinath Deshpande, Jonathan Leban +14
We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses. The…
PSP-HDRI: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models
Salehe Erfanian Ebadi, Saurav Dhakad, Sanjay Vishwakarma +6
We introduce a new synthetic data generator PSP-HDRI that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts. We demo…
PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision
Salehe Erfanian Ebadi, You-Cyuan Jhang, Alex Zook +6
In recent years, person detection and human pose estimation have made great strides, helped by large-scale labeled datasets. However, these datasets had no guarantees or analysis o…
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen, Ervin Teng, Vincent-Pierre Berges +5
The creation and destruction of agents in cooperative multi-agent reinforcement learning (MARL) is a critically under-explored area of research. Current MARL algorithms often assum…
Semi-supervised Dense Keypoints Using Unlabeled Multiview Images
Zhixuan Yu, Haozheng Yu, Long Sha +2
This paper presents a new end-to-end semi-supervised framework to learn a dense keypoint detector using unlabeled multiview images. A key challenge lies in finding the exact corres…
Unity Perception: Generate Synthetic Data for Computer Vision
Steve Borkman, Adam Crespi, Saurav Dhakad +12
We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use an…
Technology Readiness Levels for Machine Learning Systems
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12
The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…
Technology Readiness Levels for AI & ML
Alexander Lavin, Gregory Renard
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of diligence…
Morphology of Fly Larval Class IV Dendrites Accords with a Random Branching and Contact Based Branch Deletion Model
Sujoy Ganguly, Olivier Trottier, Xin Liang +2
Dendrites are branched neuronal processes that receive input signals from other neurons or the outside world [1]. To maintain connectivity as the organism grows, dendrites must als…
Fluid dynamics and noise in bacterial cell-cell and cell-surface scattering
Knut Drescher, Jörn Dunkel, Luis H. Cisneros +2
Bacterial processes ranging from gene expression to motility and biofilm formation are constantly challenged by internal and external noise. While the importance of stochastic fluc…