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09/18/2023
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models
While Automatic Speech Recognition (ASR) systems are widely used in many...
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09/11/2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
Large machine learning models trained on diverse data have recently seen...
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09/30/2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Dual encoding models that encode a pair of inputs are widely used for re...
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04/26/2021
Balancing Constraints and Submodularity in Data Subset Selection
Deep learning has yielded extraordinary results in vision and natural la...
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04/15/2021
Camera View Adjustment Prediction for Improving Image Composition
Image composition plays an important role in the quality of a photo. How...
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12/13/2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Collecting labeled data for the task of semantic segmentation is expensi...
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10/15/2020
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
Mutual gaze detection, i.e., predicting whether or not two people are lo...
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10/06/2020
Global Self-Attention Networks for Image Recognition
Recently, a series of works in computer vision have shown promising resu...
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11/20/2019
Search to Distill: Pearls are Everywhere but not the Eyes
Standard Knowledge Distillation (KD) approaches distill the knowledge of...
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11/27/2018
A Compact Embedding for Facial Expression Similarity
Most of the existing work on automatic facial expression analysis focuse...
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01/14/2018
Frame-Recurrent Video Super-Resolution
Recent advances in video super-resolution have shown that convolutional ...
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02/06/2017
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation
Deep Convolutional Neural Networks (DCNN) have been proven to be effecti...
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11/12/2015
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising
We propose a novel deep network architecture for image denoising based ...
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01/10/2015
Riemannian Metric Learning for Symmetric Positive Definite Matrices
Over the past few years, symmetric positive definite (SPD) matrices have...
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10/16/2014
