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06/10/2023
PEAR: Primitive enabled Adaptive Relabeling for boosting Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (HRL) has the potential to solve com...
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04/07/2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction for Hierarchical Reinforcement Learning
Hierarchical reinforcement learning is a promising approach that uses te...
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09/01/2022
Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild
In this work, we address the problem of generating speech from silent li...
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08/17/2022
Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors
In this paper, we explore an interesting question of what can be obtaine...
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02/17/2022
Gradient Based Activations for Accurate Bias-Free Learning
Bias mitigation in machine learning models is imperative, yet challengin...
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10/20/2021
Class Incremental Online Streaming Learning
A wide variety of methods have been developed to enable lifelong learnin...
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10/16/2021
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor
This paper proposes a video editor based on OpenShot with several state-...
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09/24/2021
Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention
Normalizing flows provide an elegant method for obtaining tractable dens...
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07/20/2021
More Parameters? No Thanks!
This work studies the long-standing problems of model capacity and negat...
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07/12/2021
Prb-GAN: A Probabilistic Framework for GAN Modelling
Generative adversarial networks (GANs) are very popular to generate real...
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07/09/2021
Exploring Dropout Discriminator for Domain Adaptation
Adaptation of a classifier to new domains is one of the challenging prob...
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07/01/2021
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Understanding unsupervised domain adaptation has been an important task ...
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06/30/2021
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
Deep learning models generally learn the biases present in the training ...
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04/01/2021
Collaborative Learning to Generate Audio-Video Jointly
There have been a number of techniques that have demonstrated the genera...
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03/30/2021
Rectification-based Knowledge Retention for Continual Learning
Deep learning models suffer from catastrophic forgetting when trained in...
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02/17/2021
Domain Impression: A Source Data Free Domain Adaptation Method
Unsupervised Domain adaptation methods solve the adaptation problem for ...
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02/03/2021
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
One of the major limitations of deep learning models is that they face c...
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12/10/2020
Exploring Pair-Wise NMT for Indian Languages
In this paper, we address the task of improving pair-wise machine transl...
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11/22/2020
RNNP: A Robust Few-Shot Learning Approach
Learning from a few examples is an important practical aspect of trainin...
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11/21/2020
Stochastic Talking Face Generation Using Latent Distribution Matching
The ability to envisage the visual of a talking face based just on heari...
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11/14/2020
Speech Prediction in Silent Videos using Variational Autoencoders
Understanding the relationship between the auditory and visual signals i...
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11/13/2020
SHAD3S: A model to Sketch, Shade and Shadow
Hatching is a common method used by artists to accentuate the third dime...
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08/26/2020
Determinantal Point Process as an alternative to NMS
We present a determinantal point process (DPP) inspired alternative to n...
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08/11/2020
Revisiting Low Resource Status of Indian Languages in Machine Translation
Indian language machine translation performance is hampered due to the l...
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07/15/2020
A Multilingual Parallel Corpora Collection Effort for Indian Languages
We present sentence aligned parallel corpora across 10 Indian Languages ...
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07/09/2020
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing
Convolutional Neural Networks (CNNs) have been successfully applied for ...
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06/29/2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
In this paper, we propose an approach to improve few-shot classification...
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06/08/2020
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution
This work presents a novel training technique for deep neural networks t...
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05/27/2020
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings
In this paper, we solve for the problem of generalized zero-shot learnin...
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01/23/2020
Deep Bayesian Network for Visual Question Generation
Generating natural questions from an image is a semantic task that requi...
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01/23/2020
Robust Explanations for Visual Question Answering
In this paper, we propose a method to obtain robust explanations for vis...
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01/15/2020
A "Network Pruning Network" Approach to Deep Model Compression
We present a filter pruning approach for deep model compression, using a...
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01/05/2020
Cooperative Initialization based Deep Neural Network Training
Researchers have proposed various activation functions. These activation...
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12/31/2019
Revisiting Paraphrase Question Generator using Pairwise Discriminator
In this paper, we propose a method for obtaining sentence-level embeddin...
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12/19/2019
Deep Exemplar Networks for VQA and VQG
In this paper, we consider the problem of solving semantic tasks such as...
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12/17/2019
Jointly Trained Image and Video Generation using Residual Vectors
In this work, we propose a modeling technique for jointly training image...
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11/19/2019
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
In this paper, we aim to obtain improved attention for a visual question...
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10/17/2019
Can I teach a robot to replicate a line art
Line art is arguably one of the fundamental and versatile modes of expre...
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10/14/2019
Dynamic Attention Networks for Task Oriented Grounding
In order to successfully perform tasks specified by natural language ins...
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10/13/2019
Granular Multimodal Attention Networks for Visual Dialog
Vision and language tasks have benefited from attention. There have been...
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09/11/2019
Probabilistic framework for solving Visual Dialog
In this paper, we propose a probabilistic framework for solving the task...
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08/17/2019
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps
Understanding and explaining deep learning models is an imperative task....
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07/29/2019
A Baseline Neural Machine Translation System for Indian Languages
We present a simple, yet effective, Neural Machine Translation system fo...
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07/24/2019
Curriculum based Dropout Discriminator for Domain Adaptation
Domain adaptation is essential to enable wide usage of deep learning bas...
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06/08/2019
Attending to Discriminative Certainty for Domain Adaptation
In this paper, we aim to solve for unsupervised domain adaptation of cla...
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05/24/2019
InfoRL: Interpretable Reinforcement Learning using Information Maximization
Recent advances in reinforcement learning have proved that given an envi...
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05/11/2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
While convolutional neural networks (CNN) have achieved impressive perfo...
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04/14/2019
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal
Abnormal activity recognition requires detection of occurrence of anomal...
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04/02/2019
Looking back at Labels: A Class based Domain Adaptation Technique
In this paper, we solve the problem of adapting classifiers across domai...
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03/19/2019
