Pinned Repositories
chat2map-official
[CVPR 2023] Code and datasets for 'Chat2Map Efficient Scene Mapping from Multi-Ego Conversations'
active-AV-dynamic-separation
Code and datasets for 'Active Audio-Visual Separation of Dynamic Sound Sources' (ECCV 2022)
BasicNAS_Reinforce
Basic PyTorch Implementation of 'Neural Architecture Search with Reinforcement Learning' (https://arxiv.org/abs/1611.01578)
CODEBRIM_MetaQNN
Open-source code for Q-learning based architecture search for our paper: Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
ego-AV-spatial-correspondence
[CVPR 2024] Code and datasets for 'Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos'
few-shot-rir
Code and datasets for 'Few-Shot Audio-Visual Learning of Environment Acoustics' (NeurIPS 2022)
HandwrittenDigitRecognition_ElasticMatching_Python
Official Code for 'Handwritten Digit Recognition 'Handwritten Digit Recognition by Elastic Matching' (http://www.jcomputers.us/index.php?m=content&c=index&a=show&catid=201&id=2862)
MetaQNN_ImageClassification_PyTorch
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Classification
MetaQNN_ImageGenerationVCAE_PyTorch
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with Asymmetric Variational Autoencoders
move2hear-active-AV-separation
Code and datasets for 'Move2Hear: Active Audio-Visual Source Separation' (ICCV 2021)
SAGNIKMJR's Repositories
SAGNIKMJR/few-shot-rir
Code and datasets for 'Few-Shot Audio-Visual Learning of Environment Acoustics' (NeurIPS 2022)
SAGNIKMJR/move2hear-active-AV-separation
Code and datasets for 'Move2Hear: Active Audio-Visual Source Separation' (ICCV 2021)
SAGNIKMJR/active-AV-dynamic-separation
Code and datasets for 'Active Audio-Visual Separation of Dynamic Sound Sources' (ECCV 2022)
SAGNIKMJR/CODEBRIM_MetaQNN
Open-source code for Q-learning based architecture search for our paper: Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
SAGNIKMJR/ego-AV-spatial-correspondence
[CVPR 2024] Code and datasets for 'Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos'
SAGNIKMJR/MetaQNN_ImageGenerationVCAE_PyTorch
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with Asymmetric Variational Autoencoders
SAGNIKMJR/HandwrittenDigitRecognition_ElasticMatching_Python
Official Code for 'Handwritten Digit Recognition 'Handwritten Digit Recognition by Elastic Matching' (http://www.jcomputers.us/index.php?m=content&c=index&a=show&catid=201&id=2862)
SAGNIKMJR/MetaQNN_ImageGenerationGAN_DiscriminatorFixed_PyTorch
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with GAN where the Discriminator network is fixed and same as that in the infoGAN paper (https://arxiv.org/abs/1606.03657)
SAGNIKMJR/autoweb
Final project in CS394R: Reinforcement Learning Theory and Practice at UT Austin
SAGNIKMJR/awesome-audio-visual
A curated list of different papers and datasets in various areas of audio-visual processing
SAGNIKMJR/awesome-embodied-vision
Reading list for research topics in embodied vision
SAGNIKMJR/BiDAF-pytorch
Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.
SAGNIKMJR/Ego4d_TalkNet_ASD-1
SAGNIKMJR/habitat-api
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
SAGNIKMJR/habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
SAGNIKMJR/libMR
Library for Meta-Recognition and Weibull based calibration of SVM data.
SAGNIKMJR/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
SAGNIKMJR/miniwob-plusplus
MiniWoB++: a web interaction benchmark for reinforcement learning
SAGNIKMJR/nussl
A flexible source separation library in Python
SAGNIKMJR/OccupancyAnticipation
This repository contains code for our publication "Occupancy Anticipation for Efficient Exploration and Navigation" in ECCV 2020.
SAGNIKMJR/OCDVAE_ContinualLearning
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
SAGNIKMJR/plfa.github.io
An introduction to programming language theory in Agda
SAGNIKMJR/PyMLViz
Interactive machine learning algorithm visualisation using Python Jupyter notebooks
SAGNIKMJR/PyTorch-Basic-Correlated-Convolution-with-Stride
Standalone code for implementing basic correlated convolution in pytorch
SAGNIKMJR/Rethinking_CNN_Layerwise_Feature_Amounts
PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"
SAGNIKMJR/RGB-Depthify
Simple, locally-running web app for generating depth maps using machine learning.
SAGNIKMJR/sagnikmjr.github.io
Sagnik Majumder's portfolio github page
SAGNIKMJR/sound-spaces
A first-of-its-kind acoustic simulation platform for audio-visual embodied AI research. It supports training and evaluating multiple tasks and applications.
SAGNIKMJR/soundspaces-challenge
Starter code for SoundSpaces challenge at CVPR 21's Embodied AI workshop
SAGNIKMJR/wge
Workflow-Guided Exploration: sample-efficient RL agent for web tasks