Author: Aneesh Tickoo

Aneesh Tickoo
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Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.

CMU Researchers Introduce a Content-based Search Engine for Modelverse, a Model-Sharing Platform that Contains a Diverse Set of Deep Generative Models

AI Paper Summary
The goal of the content-based model search is introduced, which tries to locate the most relevant deep image generative models that fulfill a user's...

Researchers From UC Berkeley Develop NerfAcc, A PyTorch Nerf Acceleration Toolbox For Both Training And Inference

AI Paper Summary
Neural Radiance Fields (NeRFs) is a revolutionary approach for 3D representation that uses a multi-layer perceptron to describe the geometry and view-dependent appearance of...

Researchers at Apple Develop ‘RoomPlan’: An API for Representing Rooms in a 3D Parametric View

AI Shorts
Machine learning (ML) research on 3D scene interpretation has been ongoing for over a decade. For the developer and computer vision communities, a new...

This AI Study Proposes a Fast and High-Quality Neural Vocoder Called ‘WaveFit,’ Which Integrates the Essence of GANs into a DDPM-like Iterative Framework

AI Paper Summary
Neural vocoders are artificial neural networks that use auditory data to produce a voice waveform. They are essential components of modern speech-generating applications. They...

A New Diffusion-based Generative Model that Designs Protein Backbone Structures via a Procedure that Mirrors the Native Folding Process

AI Paper Summary
Proteins have been intensively explored as a therapeutic medium due to their relevance, and they comprise a fast-rising proportion of authorized medicines. Proteins are...

Baidu Proposes ERNIE-VIL 2.0, a Multi-View Contrastive Learning Framework That Aims To Acquire A More Robust Cross-Modal Representation By Concurrently Building Intra-Modal And Inter-Modal...

AI Paper Summary
Vision-Language Pre-training (VLP) models have made significant progress on several cross-modal tasks, such as Visual Question Answering (VQA) and cross-modal retrieval, during the previous...

Researchers at Tel Aviv University Develop State of the Art Human Motion Diffusion Model Trained on Lightweight Resources

AI Paper Summary
The production of human motion is a critical job in computer animation, with applications ranging from gaming to robots. It is a tricky topic...

Motion TRansformer (MTR): A Novel Framework For Motion Prediction in Autonomous Driving Scenarios

AI Paper Summary
Modern autonomous driving systems rely heavily on motion predictions. It has gotten more attention since understanding driving environments and making safe judgments is critical...

Researchers at Activeloop AI Introduce ‘Deep Lake,’ an Open-Source Lakehouse for Deep Learning Applications

AI Paper Summary
A data lake is a centralized repository where enterprises may store structured, unstructured, and semi-structured data. Data lakes improve data management, governance, and analysis....

Latest Machine Learning Research at MIT Presents a Novel ‘Poisson Flow’ Generative Model (PFGM) That Maps any Data Distribution into a Uniform Distribution on...

AI Paper Summary
Deep generative models are a popular data generation strategy used to generate high-quality samples in pictures, text, and audio and improve semi-supervised learning, domain...

Latest Computer Vision Research at Nanyang Technological University Introduces VToonify Framework for Style Controllable High-Resolution Video Toonification

AI Paper Summary
Artistic portraits are everywhere in their everyday lives and in the creative sectors that inform the arts, social media avatars, movies, entertainment advertising, etc....

Researchers Devise a Method for Permuting Model Units Whose Transformation Yields a Functionally Comparable Set of Weights in an Approximately Convex Basin Around the...

AI Paper Summary
Deep learning's success is due to its capacity to tackle some enormous non-convex optimization problems with relative simplicity. Even though non-convex optimization is NP-hard,...
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