Abhinav Gupta

According to our database1, Abhinav Gupta authored at least 177 papers between 2003 and 2018.

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Bibliography

2018
Analytical Global Median Filtering Forensics Based on Moment Histograms.
TOMCCAP, 2018

Probabilistic risk assessment based model validation method using Bayesian network.
Rel. Eng. & Sys. Safety, 2018

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias.
CoRR, 2018

Videos as Space-Time Region Graphs.
CoRR, 2018

Learning to Grasp Without Seeing.
CoRR, 2018

Actor and Observer: Joint Modeling of First and Third-Person Videos.
CoRR, 2018

Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos.
CoRR, 2018

Binge Watching: Scaling Affordance Learning from Sitcoms.
CoRR, 2018

Iterative Visual Reasoning Beyond Convolutions.
CoRR, 2018

Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs.
CoRR, 2018

Never-ending learning.
Commun. ACM, 2018

2017
Reliability analysis of Junction-less Double Gate (JLDG) MOSFET for analog/RF circuits for high linearity applications.
Microelectronics Journal, 2017

AI2-THOR: An Interactive 3D Environment for Visual AI.
CoRR, 2017

Learning by Asking Questions.
CoRR, 2017

Sentiment Classification using Images and Label Embeddings.
CoRR, 2017

Visual Features for Context-Aware Speech Recognition.
CoRR, 2017

Non-local Neural Networks.
CoRR, 2017

Learning Grasping Interaction with Geometry-aware 3D Representations.
CoRR, 2017

Transitive Invariance for Self-supervised Visual Representation Learning.
CoRR, 2017

What Actions are Needed for Understanding Human Actions in Videos?
CoRR, 2017

CASSL: Curriculum Accelerated Self-Supervised Learning.
CoRR, 2017

Combining Keystroke Dynamics and Face Recognition for User Verification.
CoRR, 2017

Ontology-based Classification and Analysis of non- emergency Smart-city Events.
CoRR, 2017

Temporal Dynamic Graph LSTM for Action-driven Video Object Detection.
CoRR, 2017

Visual Semantic Planning using Deep Successor Representations.
CoRR, 2017

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection.
CoRR, 2017

The Pose Knows: Video Forecasting by Generating Pose Futures.
CoRR, 2017

Learning From Noisy Large-Scale Datasets With Minimal Supervision.
CoRR, 2017

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.
CoRR, 2017

Robust Adversarial Reinforcement Learning.
CoRR, 2017

WebVision Challenge: Visual Learning and Understanding With Web Data.
CoRR, 2017

ActionVLAD: Learning spatio-temporal aggregation for action classification.
CoRR, 2017

What's in a Question: Using Visual Questions as a Form of Supervision.
CoRR, 2017

Learning to Fly by Crashing.
CoRR, 2017

Spatial Memory for Context Reasoning in Object Detection.
CoRR, 2017

An Implementation of Faster RCNN with Study for Region Sampling.
CoRR, 2017

PixelNet: Representation of the pixels, by the pixels, and for the pixels.
CoRR, 2017

Image Annotation Using Latent Components and Transmedia Association.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Learning to fly by crashing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Brightness Preserving Satellite Image Contrast Enhancement using Bacterial Foraging Algorithm.
Proceedings of the 9th International Conference on Signal Processing Systems, 2017

Target-driven visual navigation in indoor scenes using deep reinforcement learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to push by grasping: Using multiple tasks for effective learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Supervision via competition: Robot adversaries for learning tasks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Robust Adversarial Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Visual Semantic Planning Using Deep Successor Representations.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

The Pose Knows: Video Forecasting by Generating Pose Futures.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.
Proceedings of the IEEE International Conference on Computer Vision, 2017

What Actions are Needed for Understanding Human Actions in Videos?
Proceedings of the IEEE International Conference on Computer Vision, 2017

Spatial Memory for Context Reasoning in Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Transitive Invariance for Self-Supervised Visual Representation Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Visual features for context-aware speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning from Noisy Large-Scale Datasets with Minimal Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Asynchronous Temporal Fields for Action Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

From Red Wine to Red Tomato: Composition with Context.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

The More You Know: Using Knowledge Graphs for Image Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

What's in a Question: Using Visual Questions as a Form of Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Binge Watching: Scaling Affordance Learning from Sitcoms.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning.
CoRR, 2016

Generative Image Modeling using Style and Structure Adversarial Networks.
CoRR, 2016

An Uncertain Future: Forecasting from Static Images using Variational Autoencoders.
CoRR, 2016

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.
CoRR, 2016

Much Ado About Time: Exhaustive Annotation of Temporal Data.
CoRR, 2016

Asynchronous Temporal Fields for Action Recognition.
CoRR, 2016

Learning Visual Storylines with Skipping Recurrent Neural Networks.
CoRR, 2016

Beyond Skip Connections: Top-Down Modulation for Object Detection.
CoRR, 2016

Training Region-based Object Detectors with Online Hard Example Mining.
CoRR, 2016

Pose from Action: Unsupervised Learning of Pose Features based on Motion.
CoRR, 2016

The Curious Robot: Learning Visual Representations via Physical Interactions.
CoRR, 2016

Learning to Push by Grasping: Using multiple tasks for effective learning.
CoRR, 2016

Supervision via Competition: Robot Adversaries for Learning Tasks.
CoRR, 2016

"What happens if..." Learning to Predict the Effect of Forces in Images.
CoRR, 2016

Cross-stitch Networks for Multi-task Learning.
CoRR, 2016

The More You Know: Using Knowledge Graphs for Image Classification.
CoRR, 2016

Learning a Predictable and Generative Vector Representation for Objects.
CoRR, 2016

Understanding Higher-Order Shape via 3D Shape Attributes.
CoRR, 2016

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction.
CoRR, 2016

PixelNet: Towards a General Pixel-level Architecture.
CoRR, 2016

Cutting through the clutter: Task-relevant features for image matching.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Much Ado About Time: Exhaustive Annotation of Temporal Data.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Generative Image Modeling Using Style and Structure Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders.
Proceedings of the Computer Vision - ECCV 2016, 2016

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Visual Storylines with Skipping Recurrent Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Contextual Priming and Feedback for Faster R-CNN.
Proceedings of the Computer Vision - ECCV 2016, 2016

The Curious Robot: Learning Visual Representations via Physical Interactions.
Proceedings of the Computer Vision - ECCV 2016, 2016

"What Happens If..." Learning to Predict the Effect of Forces in Images.
Proceedings of the Computer Vision - ECCV 2016, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Learning a Predictable and Generative Vector Representation for Objects.
Proceedings of the Computer Vision - ECCV 2016, 2016

Actions ~ Transformations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Training Region-Based Object Detectors with Online Hard Example Mining.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Cross-Stitch Networks for Multi-task Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

3D Shape Attributes.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

An Adaptive Bacterial Foraging Algorithm for color image enhancement.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
Efficacy of Pearson distributions for characterization of gray levels in clinical ultrasound kidney images.
Signal, Image and Video Processing, 2015

Analytical surface potential modeling and simulation of junction-less double gate (JLDG) MOSFET for ultra low-power analog/RF circuits.
Microelectronics Journal, 2015

Applying artificial vision models to human scene understanding.
Front. Comput. Neurosci., 2015

Transferring Rich Feature Hierarchies for Robust Visual Tracking.
CoRR, 2015

Unsupervised Learning of Visual Representations using Videos.
CoRR, 2015

Actions ~ Transformations.
CoRR, 2015

Dense Optical Flow Prediction from a Static Image.
CoRR, 2015

Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours.
CoRR, 2015

In Defense of the Direct Perception of Affordances.
CoRR, 2015

Unsupervised Visual Representation Learning by Context Prediction.
CoRR, 2015

Webly Supervised Learning of Convolutional Networks.
CoRR, 2015

Mid-level Elements for Object Detection.
CoRR, 2015

What makes Paris look like Paris?
Commun. ACM, 2015

A Novel Approach for Image Super Resolution Using Kernel Methods.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Unsupervised Learning of Visual Representations Using Videos.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Dense Optical Flow Prediction from a Static Image.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Single Image 3D without a Single 3D Image.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised Visual Representation Learning by Context Prediction.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Webly Supervised Learning of Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Designing deep networks for surface normal estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Sense discovery via co-clustering on images and text.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Combining Keystroke Dynamics and Face Recognition for User Verification.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015


2014
People Watching: Human Actions as a Cue for Single View Geometry.
International Journal of Computer Vision, 2014

Designing Deep Networks for Surface Normal Estimation.
CoRR, 2014

Unfolding an Indoor Origami World.
Proceedings of the Computer Vision - ECCV 2014, 2014

Context as Supervisory Signal: Discovering Objects with Predictable Context.
Proceedings of the Computer Vision - ECCV 2014, 2014

Patch to the Future: Unsupervised Visual Prediction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Enriching Visual Knowledge Bases via Object Discovery and Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Mid-level Visual Element Discovery as Discriminative Mode Seeking.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Building Part-Based Object Detectors via 3D Geometry.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Data-Driven 3D Primitives for Single Image Understanding.
Proceedings of the IEEE International Conference on Computer Vision, 2013

NEIL: Extracting Visual Knowledge from Web Data.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Representing Videos Using Mid-level Discriminative Patches.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
What makes Paris look like Paris?
ACM Trans. Graph., 2012

Unsupervised Discovery of Mid-Level Discriminative Patches
CoRR, 2012

Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Ubiquitous Sensor Network for Domestic Energy Monitoring and Energy Consumption Optimization.
Proceedings of the 2012 IEEE International Conference on Green Computing and Communications, 2012

Unsupervised Discovery of Mid-Level Discriminative Patches.
Proceedings of the Computer Vision - ECCV 2012, 2012

Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes.
Proceedings of the Computer Vision - ECCV 2012, 2012

People Watching: Human Actions as a Cue for Single View Geometry.
Proceedings of the Computer Vision - ECCV 2012, 2012

Scene Semantics from Long-Term Observation of People.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Data-driven visual similarity for cross-domain image matching.
ACM Trans. Graph., 2011

Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications.
J. Solid-State Circuits, 2011

Clustering of XML Documents on the basis of Content and Structure.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Ensemble of exemplar-SVMs for object detection and beyond.
Proceedings of the IEEE International Conference on Computer Vision, 2011

From 3D scene geometry to human workspace.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Piecing together the segmentation jigsaw using context.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Demonstration of integrated micro-electro-mechanical switch circuits for VLSI applications.
Proceedings of the IEEE International Solid-State Circuits Conference, 2010

Learning What and How of Contextual Models for Scene Labeling.
Proceedings of the Computer Vision, 2010

Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics.
Proceedings of the Computer Vision, 2010

Beyond active noun tagging: Modeling contextual interactions for multi-class active learning.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Beyond Nouns and Verbs.
PhD thesis, 2009

Low-complexity distributed scheduling algorithms for wireless networks.
IEEE/ACM Trans. Netw., 2009

Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry.
Proceedings of the IEEE International Solid-State Circuits Conference, 2009

Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Computational framework for remotely operable laboratories.
Eng. Comput. (Lond.), 2008

A novel approach to video matting using automated scribbling by motion analysis.
Proceedings of the IEEE International Conference on Virtual Environments, 2008

A "Shape Aware" Model for semi-supervised Learning of Objects and its Context.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers.
Proceedings of the Computer Vision, 2008

Context and observation driven latent variable model for human pose estimation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Low Cost, Online, Computer Controlled Robot Architecture Using a CCTV Network as Sensors.
iJOE, 2007

Low-Complexity Distributed Scheduling Algorithms for Wireless Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Objects in Action: An Approach for Combining Action Understanding and Object Perception.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
MGA - A Mathematical Approach to Generate Design Alternatives.
Proceedings of the Intelligent Computing in Engineering and Architecture, 2006

Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

2005
Advanced SQL modeling in RDBMS.
ACM Trans. Database Syst., 2005

Optimizing Refresh of a Set of Materialized Views.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Extracting regions of symmetry.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Data Densification in a Relational Database System.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Experimental Evaluation of TCP Performance in Multi-Hop Wireless Ad Hoc Networks.
Proceedings of the 12th International Workshop on Modeling, 2004

Non-linear Dimensionality Reduction by Locally Linear Isomaps.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Watermarking of MPEG-4 Videos.
Proceedings of the Biometric Authentication, First International Conference, 2004

2003
Business Modelling Using SQL Spreadsheets.
Proceedings of the VLDB 2003, 2003

Spreadsheets in RDBMS for OLAP.
Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003


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