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11/17/2021
Temporally Consistent Online Depth Estimation in Dynamic Scenes
Temporally consistent depth estimation is crucial for real-time applicat...
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10/15/2021
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet
From wearables to powerful smart devices, modern automatic speech recogn...
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07/09/2021
Noisy Training Improves E2E ASR for the Edge
Automatic speech recognition (ASR) has become increasingly ubiquitous on...
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06/22/2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
When tuning the architecture and hyperparameters of large machine learni...
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06/16/2021
Collaborative Training of Acoustic Encoders for Speech Recognition
On-device speech recognition requires training models of different sizes...
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04/16/2021
Accelerating Sparse Deep Neural Networks
As neural network model sizes have dramatically increased, so has the in...
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02/23/2021
Memory-efficient Speech Recognition on Smart Devices
Recurrent transducer models have emerged as a promising solution for spe...
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12/21/2020
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
Current state-of-the-art approaches for Semi-supervised Video Object Seg...
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11/25/2020
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Leveraging temporal information has been regarded as essential for devel...
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11/09/2020
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss
Semi-supervised video object segmentation (semi-VOS) is widely used in m...
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10/10/2017
Mixed Precision Training
Deep neural networks have enabled progress in a wide variety of applicat...
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10/02/2016
