research
∙
05/22/2022
Neural Inverse Kinematics
Inverse kinematic (IK) methods recover the parameters of the joints, giv...
share
research
∙
02/13/2022
Unsupervised Disentanglement with Tensor Product Representations on the Torus
The current methods for learning representations with auto-encoders almo...
research
∙
10/06/2021
Meta Internal Learning
Internal learning for single-image generation is a framework, where a ge...
research
∙
04/16/2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification
Recent advances in using retrieval components over external knowledge so...
research
∙
03/29/2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
Transformers are increasingly dominating multi-modal reasoning tasks, su...
research
∙
12/17/2020
Transformer Interpretability Beyond Attention Visualization
Self-attention techniques, and specifically Transformers, are dominating...
research
∙
12/03/2020
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
Neural network visualization techniques mark image locations by their re...
research
∙
06/22/2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
We consider the task of generating diverse and novel videos from a singl...
research
∙
01/14/2020
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation
Recently developed methods for rapid continuous volumetric two-photon mi...
research
∙
01/14/2020
Single Image Depth Estimation Trained via Depth from Defocus Cues
Estimating depth from a single RGB images is a fundamental task in compu...
research
∙
12/01/2019
End to End Trainable Active Contours via Differentiable Rendering
We present an image segmentation method that iteratively evolves a polyg...
research
∙
08/04/2019
