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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.
[ECCV2022] Source Code for "Improving GANs for Long-Tailed Data through Group Spectral Regularization"
Code for Hierarchical Semantic Regularization of Latent Spaces in StyleGANs (ECCV 2022)
Code Release for the CVPR 2020 (oral) paper, "Towards Inheritable Models for Open-set Domain Adaptation".
[ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation
[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation
[CVPR 2023] Source code for NoisyTwins: Class-consistent and Diverse Image Generation Through StyleGANs
[CVPRw 2023] Source Code for our Work "Certified Adversarial Robustness Within Multiple Perturbation Bounds"
Towards Efficient and Effective Adversarial Training, NeurIPS 2021
Official Code for Scaling Adversarial Training to Large Perturbation Bounds (ECCV-2022)
A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.
Code for our work on pose-estimation using template 3D models.
This codebase contains the implementation for the paper titled "ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations".
Submodular Subset Selection for Active Domain Adaptation (ICCV 2021)
[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
Regularizers for Single-step Adversarial training
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
Generalize then Adapt: Source-free Domain Adaptation for Semantic Segmentation (ICCV 2021)
Code and data related to analysis of object sketches at a semantic part-level
Code, demos and data for SketchParse (a neural network for sketch segmentation). Paper:
Repository for code, models and datasets for the paper Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing accepted at 36th AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA
Code repository for the paper: Appearance Consensus Driven Self-Supervised Human Mesh Recovery
Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)
[ECCV22] Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation (CVPR 2020)
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.