Search Results - "Jia, Yangqing"

Category-Independent Object-Level Saliency Detection by Jia, Yangqing, Han, Mei

“…It is known that purely low-level saliency cues such as frequency does not lead to a good salient object detection result, requiring high-level knowledge to be…”
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Going deeper with convolutions by Szegedy, Christian, Wei Liu, Yangqing Jia, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, Rabinovich, Andrew

“…We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the…”
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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search by Wu, Bichen, Keutzer, Kurt, Dai, Xiaoliang, Zhang, Peizhao, Wang, Yanghan, Sun, Fei, Wu, Yiming, Tian, Yuandong, Vajda, Peter, Jia, Yangqing

“…Designing accurate and efficient ConvNets for mobile devices is challenging because the design space is combinatorially large. Due to this, previous neural…”
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MatchNet: Unifying feature and metric learning for patch-based matching by Xufeng Han, Leung, Thomas, Yangqing Jia, Sukthankar, Rahul, Berg, Alexander C.

“…Motivated by recent successes on learning feature representations and on learning feature comparison functions, we propose a unified approach to combining both…”
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Trace Ratio Problem Revisited by Jia, Yangqing, Nie, Feiping, Zhang, Changshui

“…Dimensionality reduction is an important issue in many machine learning and pattern recognition applications, and the trace ratio (TR) problem is an…”
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ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation by Dai, Xiaoliang, Jia, Yangqing, Vajda, Peter, Uyttendaele, Matt, Jha, Niraj K., Zhang, Peizhao, Wu, Bichen, Yin, Hongxu, Sun, Fei, Wang, Yanghan, Dukhan, Marat, Hu, Yunqing, Wu, Yiming

“…This paper proposes an efficient neural network (NN) architecture design methodology called Chameleon that honors given resource constraints. Instead of…”
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Semi-supervised orthogonal discriminant analysis via label propagation by Nie, Feiping, Xiang, Shiming, Jia, Yangqing, Zhang, Changshui

“…Trace ratio is a natural criterion in discriminant analysis as it directly connects to the Euclidean distances between training data points. This criterion is…”
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Beyond spatial pyramids: Receptive field learning for pooled image features by Yangqing Jia, Chang Huang, Darrell, T.

“…In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While…”
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Machine Learning at Facebook: Understanding Inference at the Edge by Wu, Carole-Jean, Brooks, David, Chen, Kevin, Chen, Douglas, Choudhury, Sy, Dukhan, Marat, Hazelwood, Kim, Isaac, Eldad, Jia, Yangqing, Jia, Bill, Leyvand, Tommer, Lu, Hao, Lu, Yang, Qiao, Lin, Reagen, Brandon, Spisak, Joe, Sun, Fei, Tulloch, Andrew, Vajda, Peter, Wang, Xiaodong, Wang, Yanghan, Wasti, Bram, Wu, Yiming, Xian, Ran, Yoo, Sungjoo, Zhang, Peizhao

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Latent Task Adaptation with Large-Scale Hierarchies by Yangqing Jia, Darrell, Trevor

“…Recent years have witnessed the success of large-scale image classification systems that are able to identify objects among thousands of possible labels…”
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Learning cross-modality similarity for multinomial data by Yangqing Jia, Salzmann, M., Darrell, T.

“…Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in…”
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Front-view vehicle detection by Markov chain Monte Carlo method by Jia, Yangqing, Zhang, Changshui

“…In this paper, we propose a new vehicle detection approach based on Markov chain Monte Carlo (MCMC). We mainly discuss the detection of vehicles in front-view…”
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Grounding spatial relations for human-robot interaction by Guadarrama, Sergio, Riano, Lorenzo, Golland, Dave, Gouhring, Daniel, Yangqing Jia, Klein, Dan, Abbeel, Pieter, Darrell, Trevor

“…We propose a system for human-robot interaction that learns both models for spatial prepositions and for object recognition. Our system grounds the meaning of…”
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Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation by Wang, Jingdong, Jiang, Huaizu, Jia, Yangqing, Hua, Xian-Sheng, Zhang, Changshui, Quan, Long

“…In this paper, we propose regularized tree partitioning approaches. We study normalized cut (NCut) and average cut (ACut) criteria over a tree, forming two…”
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Normalized tree partitioning for image segmentation by Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan

“…In this paper, we propose a novel graph based clustering approach with satisfactory clustering performance and low computational cost. It consists of two main…”
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A category-level 3-D object dataset: Putting the Kinect to work by Janoch, A., Karayev, S., Yangqing Jia, Barron, J. T., Fritz, M., Saenko, K., Darrell, T.

“…Recent proliferation of a cheap but quality depth sensor, the Microsoft Kinect, has brought the need for a challenging category-level 3D object detection…”
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Learning distance metric for semi-supervised image segmentation by Yangqing Jia, Changshui Zhang

“…Semi-supervised image segmentation is an important issue in many image processing applications, and has been a popular research area recently, the most popular…”
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Local Regularized Least-Square Dimensionality Reduction by Yangqing Jia, Changshui Zhang

“…In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data…”
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Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective by Hazelwood, Kim, Bird, Sarah, Brooks, David, Chintala, Soumith, Diril, Utku, Dzhulgakov, Dmytro, Fawzy, Mohamed, Jia, Bill, Jia, Yangqing, Kalro, Aditya, Law, James, Lee, Kevin, Lu, Jason, Noordhuis, Pieter, Smelyanskiy, Misha, Xiong, Liang, Wang, Xiaodong

“…Machine learning sits at the core of many essential products and services at Facebook. This paper describes the hardware and software infrastructure that…”
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Augmented tree partitioning for interactive image segmentation by Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua

“…In this paper, we propose a new fast semi-supervised image segmentation method based on augmented tree partitioning. Unlike many existing methods that use a…”
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