Mitsubishi Electric Research Laboratories (MERL)'s repositories
cocktail-fork-separation
Baseline multi-resolution cross network model trained using the Divide and Remaster Dataset
hyper-unmix
Source code for training models and using the hyperbolic interface proposed in our ICASSP 2023 paper, “Hyperbolic Audio Source Separation.”
neural-IIR-field
Neural IIR Filter Field for HRTF Upsampling and Personalization
Sound2Sight
Generating Visual Dynamics from Sound and Context for generating video frames and their motion dynamics conditioned on audio and a few past frames
DeepBornFNO
Code for training and using the Born Fourier Neural Operator (BornFNO) model proposed in our ICASSP 2023 paper
robust-rotation-estimation
Robust frame-to-frame camera rotation estimation in crowded scenes
FoldingNet_Plus
For unsupervised learning of 3D point clouds with data-adaptive graph prior
SteeredDiffusion
Convert a pretrained unconditional diffusion model to a conditional one using steering networks
CAZSL
Context-Aware Zero Shot Learning
CME
Circular Maze Environment
LIP4RobotInverseDynamics
Lagrangian Inspired Polynomial Kernel for Robot Inverse Dynamics Learning
LUVLi
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
QNTRPO
Quasi-Newton Trust Region Policy Optimization
SafetyRL
Goal directed RL with Safety Constraints