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Name: Vision and AI Laboratory (VAL) -- IISc
Type: Organization
Bio: Developing intelligent systems for semantic understanding of image/video content.
Name: Vision and AI Laboratory (VAL) -- IISc
Type: Organization
Bio: Developing intelligent systems for semantic understanding of image/video content.
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
Repository for 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction [ECCVW 2018]
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
Code release for "CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision", (AAAI-19)
Class Balancing GAN with a Classifier In The Loop (UAI 2021)
Visualising predictions of deep neural networks
[NeurIPS 2022] This repository contains the code for our work CSST: Cost Sensitive Self Training for Optimizing Non-Decomposable Objectives
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
Implementation for "Completely Self-Supervised Crowd Counting via Distribution Matching" (http://arxiv.org/abs/2009.06420)
Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)
[CVPR-2023] Official Code for DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
[CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Repository for 'Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network' [WACV 2019]
Codes release for "DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering", (CVPRW '19)
Webpage for DS265: Deep Learning in Computer Vision Course
Repository containing assignments for DS-265 Deep Learning for Computer Vision
Webpage for DS265: Deep Learning in Computer Vision Course
[ICCV23] Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
expresso
Data independent universal adversarial perturbations
Official code for the paper - Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020
Code for ICCV Paper "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions"
Repository for the Gray-box Adversarial Training project presented at ECCV 2018.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.