Search Results for author: Aditya Deshpande

Found 10 papers, 2 papers with code

Motion Classification Based on Harmonic Micro-Doppler Signatures Using a Convolutional Neural Network

no code implementations13 Jan 2023 Cory Hilton, Steve Bush, Faiz Sherman, Matt Barker, Aditya Deshpande, Steve Willeke, Jeffrey A. Nanzer

We demonstrate the classification of common motions of held objects using the harmonic micro-Doppler signatures scattered from harmonic radio-frequency tags.


A linearized framework and a new benchmark for model selection for fine-tuning

no code implementations29 Jan 2021 Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

Since all model selection algorithms in the literature have been tested on different use-cases and never compared directly, we introduce a new comprehensive benchmark for model selection comprising of: i) A model zoo of single and multi-domain models, and ii) Many target tasks.

Feature Correlation Model Selection

Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech

no code implementations CVPR 2019 Aditya Deshpande, Jyoti Aneja, Li-Wei Wang, Alexander Schwing, D. A. Forsyth

We achieve the trifecta: (1) High accuracy for the diverse captions as evaluated by standard captioning metrics and user studies; (2) Faster computation of diverse captions compared to beam search and diverse beam search; and (3) High diversity as evaluated by counting novel sentences, distinct n-grams and mutual overlap (i. e., mBleu-4) scores.

Caption Generation Image Captioning

Convolutional Image Captioning

4 code implementations CVPR 2018 Jyoti Aneja, Aditya Deshpande, Alexander Schwing

In recent years significant progress has been made in image captioning, using Recurrent Neural Networks powered by long-short-term-memory (LSTM) units.

Image Captioning Text Generation +1

Learning Diverse Image Colorization

1 code implementation CVPR 2017 Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David Forsyth

Finally, we build a conditional model for the multi-modal distribution between grey-level image and the color field embeddings.

Colorization Decoder +2

Authoring image decompositions with generative models

no code implementations5 Dec 2016 Jason Rock, Theerasit Issaranon, Aditya Deshpande, David Forsyth

Instead, we can learn to decompose an image into layers that are "like this" by authoring generative models for each layer using proxy examples that capture the Platonic ideal (Mondrian images for albedo; rendered 3D primitives for shading; material swatches for shading detail).

CDVAE: Co-embedding Deep Variational Auto Encoder for Conditional Variational Generation

no code implementations1 Dec 2016 Jiajun Lu, Aditya Deshpande, David Forsyth

Such a model is difficult to train, because we do not usually have training data containing many different shadings for the same image.

Image Relighting

Multistage SFM: A Coarse-to-Fine Approach for 3D Reconstruction

no code implementations19 Dec 2015 Rajvi Shah, Aditya Deshpande, P. J. Narayanan

We present a multistage approach for SFM reconstruction of a single component that breaks the sequential nature of the incremental SFM methods.

3D Reconstruction

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