8 citations · 16 across the 10 of their papers we have counts for
12 papers
An Efficient and Explanatory Image and Text Clustering System with Multimodal Autoencoder Architecture
Tiancheng Shi, Yuanchen Wei, John R. Kender
We demonstrate the efficiencies and explanatory abilities of extensions to the common tools of Autoencoders and LLM interpreters, in the novel context of comparing different cultur…
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning
John R. Kender, Bishwaranjan Bhattacharjee, Parijat Dube +1
Transfer learning is a deep-learning technique that ameliorates the problem of learning when human-annotated labels are expensive and limited. In place of such labels, it uses inst…
3D Human motion anticipation and classification
Emad Barsoum, John Kender, Zicheng Liu
Human motion prediction and understanding is a challenging problem. Due to the complex dynamic of human motion and the non-deterministic aspect of future prediction. We propose a n…
P2L: Predicting Transfer Learning for Images and Semantic Relations
Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill +7
Transfer learning enhances learning across tasks, by leveraging previously learned representations -- if they are properly chosen. We describe an efficient method to accurately est…
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum, John Kender, Zicheng Liu
Predicting and understanding human motion dynamics has many applications, such as motion synthesis, augmented reality, security, and autonomous vehicles. Due to the recent success…
Tracking Large-Scale Video Remix in Real-World Events
Lexing Xie, Apostol Natsev, Xuming He +3
Social information networks, such as YouTube, contains traces of both explicit online interaction (such as "like", leaving a comment, or subscribing to video feed), and latent inte…