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08/03/2023
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order Logic
We present a comprehensive study of chart visual question-answering(QA) ...
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08/03/2023
SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
We introduce a novel bottom-up approach for the extraction of chart data...
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07/16/2023
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
Face recognition from image sets acquired under unregulated and uncontro...
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07/09/2023
RidgeBase: A Cross-Sensor Multi-Finger Contactless Fingerprint Dataset
Contactless fingerprint matching using smartphone cameras can alleviate ...
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11/06/2022
Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
Learning to localize the sound source in videos without explicit annotat...
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02/17/2021
Active Face Frontalization using Commodity Unmanned Aerial Vehicles
This paper describes a system by which Unmanned Aerial Vehicles (UAVs) c...
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05/10/2020
Article citation study: Context enhanced citation sentiment detection
Citation sentimet analysis is one of the little studied tasks for scient...
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11/15/2018
CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking
Tracking multiple people across multiple cameras is an open problem. It ...
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05/23/2016
On Optimality Conditions for Auto-Encoder Signal Recovery
Auto-Encoders are unsupervised models that aim to learn patterns from ob...
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03/04/2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
While the authors of Batch Normalization (BN) identify and address an im...
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12/05/2015
Maximum Entropy Binary Encoding for Face Template Protection
In this paper we present a framework for secure identification using dee...
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06/14/2015
Deep Secure Encoding: An Application to Face Recognition
In this paper we present Deep Secure Encoding: a framework for secure cl...
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05/21/2015
Why Regularized Auto-Encoders learn Sparse Representation?
While the authors of Batch Normalization (BN) identify and address an im...
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12/07/2014
Dimensionality Reduction with Subspace Structure Preservation
Modeling data as being sampled from a union of independent subspaces has...
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05/06/2014
Is Joint Training Better for Deep Auto-Encoders?
Traditionally, when generative models of data are developed via deep arc...
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01/17/2014
