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Contextual Priming and Feedback for Faster R-CNN

Computer Vision – ECCV 2016, p.330-348

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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.843-852

2017

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NEIL: Extracting Visual Knowledge from Web Data

2013 IEEE International Conference on Computer Vision, 2013, p.1409-1416

2013

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Unsupervised Learning of Visual Representations Using Videos

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2794-2802

2015

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Cross-Stitch Networks for Multi-task Learning

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.3994-4003

2016

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An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders

Computer Vision – ECCV 2016, p.835-851

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Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning

Journal of hydrology. Regional studies, 2024-02, Vol.51, p.101607, Article 101607

Gupta, Abhinav

2024

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A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3039-3048

2017

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Learning a Predictable and Generative Vector Representation for Objects

Computer Vision – ECCV 2016, p.484-499

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Webly Supervised Learning of Convolutional Networks

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.1431-1439

2015

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Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.6857-6866

2018

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Scaling and Benchmarking Self-Supervised Visual Representation Learning

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.6390-6399

2019

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Analytical review of design aspects of helical spring

I-Manager's Journal on Mechanical Engineering, 2023-07, Vol.13 (3), p.36

Abhinav, Gupta

2023

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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

Computer Vision – ECCV 2016, p.510-526

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The Pose Knows: Video Forecasting by Generating Pose Futures

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.3352-3361

2017

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The More You Know: Using Knowledge Graphs for Image Classification

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.20-28

2017

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ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3165-3174

2017

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What makes Paris look like Paris?

ACM transactions on graphics, 2012-07, Vol.31 (4), p.1-9

2012

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Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.5965-5974

2016

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Structural interdependence within top management teams: A key moderator of upper echelons predictions

Strategic management journal, 2015-03, Vol.36 (3), p.449-461

2015

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Dense Optical Flow Prediction from a Static Image

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2443-2451

2015

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“What Happens If...” Learning to Predict the Effect of Forces in Images

Computer Vision – ECCV 2016, p.269-285

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Unsupervised Discovery of Mid-Level Discriminative Patches

Computer Vision – ECCV 2012, p.73-86

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Patch to the Future: Unsupervised Visual Prediction

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.3302-3309

2014

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Actor and Observer: Joint Modeling of First and Third-Person Videos

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7396-7404

2018

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Contextual Priming and Feedback for Faster R-CNN

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

NEIL: Extracting Visual Knowledge from Web Data

Unsupervised Learning of Visual Representations Using Videos

Cross-Stitch Networks for Multi-task Learning

An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders

Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

Learning a Predictable and Generative Vector Representation for Objects

Webly Supervised Learning of Convolutional Networks

Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Analytical review of design aspects of helical spring

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

The Pose Knows: Video Forecasting by Generating Pose Futures

The More You Know: Using Knowledge Graphs for Image Classification

ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification

What makes Paris look like Paris?

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

Structural interdependence within top management teams: A key moderator of upper echelons predictions

Dense Optical Flow Prediction from a Static Image

“What Happens If...” Learning to Predict the Effect of Forces in Images

Unsupervised Discovery of Mid-Level Discriminative Patches

Patch to the Future: Unsupervised Visual Prediction

Actor and Observer: Joint Modeling of First and Third-Person Videos

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