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02/08/2022
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision
For binary neural networks (BNNs) to become the mainstream on-device com...
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01/04/2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Deep learning based object detectors are commonly deployed on mobile dev...
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07/15/2019
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks
The use of RGB-D information for salient object detection has been explo...
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03/25/2019
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
With a single eye fixation lasting a fraction of a second, the human vis...
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12/04/2018
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Retrieving object instances among cluttered scenes efficiently requires ...
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01/13/2018
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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01/13/2018
Inverted Residuals and Linear Bottlenecks: Mobile Networks forClassification, Detection and Segmentation
In this paper we describe a new mobile architecture, MobileNetV2, that i...
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12/15/2017
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
The rising popularity of intelligent mobile devices and the daunting com...
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11/17/2017
Mobile Video Object Detection with Temporally-Aware Feature Maps
This paper introduces an online model for object detection in videos des...
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08/03/2017
Automatic Spatially-aware Fashion Concept Discovery
This paper proposes an automatic spatially-aware concept discovery appro...
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04/17/2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
We present a class of efficient models called MobileNets for mobile and ...
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01/09/2017
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior
Recovering 3D full-body human pose is a challenging problem with many ap...
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11/30/2016
Speed/accuracy trade-offs for modern convolutional object detectors
The goal of this paper is to serve as a guide for selecting a detection ...
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11/30/2015
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
This paper addresses the challenge of 3D full-body human pose estimation...
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09/14/2015
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach
We investigate the problem of estimating the 3D shape of an object defin...
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02/01/2015
