Search Results for author: Yash Jain

Found 11 papers, 2 papers with code

PEEKABOO: Interactive Video Generation via Masked-Diffusion

no code implementations12 Dec 2023 Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl

Recently there has been a lot of progress in text-to-video generation, with state-of-the-art models being capable of generating high quality, realistic videos.

Text-to-Video Generation Video Generation

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

1 code implementation NeurIPS 2023 Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet

Construction of a universal detector poses a crucial question: How can we most effectively train a model on a large mixture of datasets?

object-detection Object Detection

Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data

no code implementations2 Nov 2022 Zikang Leng, Yash Jain, Hyeokhyen Kwon, Thomas Plötz

In this work we first introduce a measure to quantitatively assess the subtlety of human movements that are underlying activities of interest--the motion subtlety index (MSI)--which captures local pixel movements and pose changes in the vicinity of target virtual sensor locations, and correlate it to the eventual activity recognition accuracy.

Human Activity Recognition

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

no code implementations1 Feb 2022 Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur

In this paper, we extend this line of research and present a novel technique called Collaborative Self-Supervised Learning (ColloSSL) which leverages unlabeled data collected from multiple devices worn by a user to learn high-quality features of the data.

Contrastive Learning Human Activity Recognition +2

Matching Models for Graph Retrieval

no code implementations3 Oct 2021 Chitrank Gupta, Yash Jain

Graph Retrieval has witnessed continued interest and progress in the past few years.

Graph Matching Retrieval

Towards an Interpretable Latent Space in Structured Models for Video Prediction

no code implementations16 Jul 2021 Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van Den Broeck, Parag Singla

We work with models which are object-centric, i. e., explicitly work with object representations, and propagate a loss in the latent space.

Contrastive Learning Inductive Bias +2

Visually Aware Skip-Gram for Image Based Recommendations

1 code implementation16 Aug 2020 Parth Tiwari, Yash Jain, Shivansh Mundra, Jenny Harding, Manoj Kumar Tiwari

The visual appearance of a product significantly influences purchase decisions on e-commerce websites.

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