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09/18/2023
Instruction-Following Speech Recognition
Conventional end-to-end Automatic Speech Recognition (ASR) models primar...
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05/18/2023
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
The techniques for 3D indoor scene capturing are widely used, but the me...
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12/27/2021
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds
We present SurFit, a simple approach for label efficient learning of 3D ...
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10/08/2021
Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition
End-to-end models have achieved state-of-the-art results on several auto...
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10/07/2021
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition
As end-to-end automatic speech recognition (ASR) models reach promising ...
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09/27/2021
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition
We summarize the results of a host of efforts using giant automatic spee...
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04/26/2021
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
Confidence scores are very useful for downstream applications of automat...
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04/25/2021
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models
Streaming end-to-end automatic speech recognition (ASR) systems are wide...
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04/06/2021
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models
Although end-to-end automatic speech recognition (e2e ASR) models are wi...
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03/25/2021
Residual Energy-Based Models for End-to-End Speech Recognition
End-to-end models with auto-regressive decoders have shown impressive re...
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03/11/2021
Learning Word-Level Confidence For Subword End-to-End ASR
We study the problem of word-level confidence estimation in subword-base...
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10/22/2020
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data
Streaming end-to-end automatic speech recognition (ASR) models are widel...
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10/22/2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
For various speech-related tasks, confidence scores from a speech recogn...
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10/12/2020
Zero-shot Entity Linking with Efficient Long Range Sequence Modeling
This paper considers the problem of zero-shot entity linking, in which a...
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05/07/2020
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions
In recent years, all-neural end-to-end approaches have obtained state-of...
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03/30/2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
The problems of shape classification and part segmentation from 3D point...
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12/16/2019
Progressive Learning Algorithm for Efficient Person Re-Identification
This paper studies the problem of Person Re-Identification (ReID)for lar...
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11/21/2019
Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models
In this paper, we propose to use pre-trained features from end-to-end AS...
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07/26/2019
Product Image Recognition with Guidance Learning and Noisy Supervision
This paper considers recognizing products from daily photos, which is an...
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07/25/2019
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning
Accurate detection of pulmonary nodules with high sensitivity and specif...
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06/08/2019
3DFPN-HS^2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection
Accurate detection of pulmonary nodules with high sensitivity and specif...
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04/15/2019
Automatic adaptation of object detectors to new domains using self-training
This work addresses the unsupervised adaptation of an existing object de...
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02/21/2019
Learning Deterministic Policy with Target for Power Control in Wireless Networks
Inter-Cell Interference Coordination (ICIC) is a promising way to improv...
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08/11/2018
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing
Matrix factorization (MF) discovers latent features from observations, w...
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06/05/2018
Focal Visual-Text Attention for Visual Question Answering
Recent insights on language and vision with neural networks have been su...
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12/04/2017
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids
In this paper, we propose gated recurrent feature pyramid for the proble...
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10/26/2017
Lip2AudSpec: Speech reconstruction from silent lip movements video
In this study, we propose a deep neural network for reconstructing intel...
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08/04/2017
MemexQA: Visual Memex Question Answering
This paper proposes a new task, MemexQA: given a collection of photos or...
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03/07/2017
Learning from Noisy Labels with Distillation
The ability of learning from noisy labels is very useful in many visual ...
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11/28/2016
Image Based Appraisal of Real Estate Properties
Real estate appraisal, which is the process of estimating the price for ...
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08/08/2016
Detecting Sarcasm in Multimodal Social Platforms
Sarcasm is a peculiar form of sentiment expression, where the surface se...
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04/12/2016
GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring
Fisher vector has been widely used in many multimedia retrieval and visu...
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04/10/2016
TGIF: A New Dataset and Benchmark on Animated GIF Description
With the recent popularity of animated GIFs on social media, there is ne...
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09/22/2015
Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games
Poker is a family of card games that includes many variations. We hypoth...
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02/01/2015
Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition
Action recognition is an important problem in multimedia understanding. ...
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12/06/2014