Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
Visual Speech Recognition (VSR) is the process of recognizing or interpreting speech by watching the lip movements of the speaker. …
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Keyphrase Extraction as Sequence Labeling Task using Transformers
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where …
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Learning based Methods for Code Runtime Complexity Prediction
Predicting the runtime complexity of a programming code is an arduous task. In fact, even for humans, it requires a subtle analysis and …
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MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging …
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Multi-Modal Association based Grouping for Form Structure Extraction
Document structure extraction has been a widely researched area for decades. Recent work in this direction has been deep …
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Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Deep neural networks (DNNs) are powerful learning machines that have enabled breakthroughs in several domains. In this work, we …
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ShapeVis: High-dimensional Data Visualization at Scale
We present ShapeVis, a scalable visualization technique for point cloud data inspired from topological data analysis. Our method …
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SieveNet: A Unified Framework for Robust Image-based Virtual Try-On
Image-based virtual try-on for fashion has attracted considerable attention recently. The task requires trying on the desired clothing …
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SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Few-shot segmentation (FSS) methods perform image segmentation for a particular object class in a target (query) image, using a small …
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Towards A Unified Framework for Visual Compatibility Prediction
Visual compatibility prediction refers to the task of determining if a set of items go well together. Existing techniques for …
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