danh_sach_do_an.pdf

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  • 8/12/2019 Danh_sach_do_an.pdf

    1/2

    STT n Mt sti liu tham kho Ghi ch

    1 Nhn dng mt ngi

    u vo: nh cha mt ngi

    u ra: xc nh ngi cha trong nh

    [1] Robust Face Recognition via

    Sparse Representation

    [2] Robust and Practical Face

    Recognition via Structured Sparsity

    2 Sv/

    nhm

    2 Nhn din cm xc gng mt

    u vo: nh cha gng mt

    u ra: xc nh loi cm xc ca gng

    mt

    [1] FACIAL EXPRESSION

    RECOGNITION USING GRAPH-BASED

    FEATURES AND ARTIFICIAL NEURAL

    NETWORKS

    [2] Facial expression recognition

    based on Local Binary Patterns: A

    comprehensive study

    2 Sv/

    nhm

    3 Nhn dng k hiu cch

    u vo: nh cha k hiu

    u ra: loi k hiu

    [1] Spelling It Out: Real-Time ASL

    Fingerspelling Recognition

    2 sv/

    nhm

    4 Nhn dng hnh ng trong nhu vo: nh cha 1 hnh ng

    u ra: loi honh ng cha trong nh

    [1] Recognizing Actions from StillImages

    [2] Recognizing human actions in still

    images: a study of bag-of-features

    and part-based representations

    [3] Coloring Action Recognition in Still

    Images

    2sv/ nhm

    5 Nhn dng hnh ng ntrong video

    u vo: on video cha hnh ng n

    u ra: xc nh loi hnh ng trong

    video

    Dliu: KTH, Weizmann

    [1] Sampling Strategies for Real-time

    Action Recognition

    [2] 3D Convolutional Neural

    Networks for Human Action

    Recognition

    2 sv/

    nhm

    6 Nhn dng hnh ng phc trong video

    u vo: on video cha hnh ngphc

    u ra: xc nh loi hnh ng trong

    video

    Dliu: Youtube

    [1] Augmenting Bag-of-Words: Data-

    Driven Discovery of Temporal and

    Structural Information for Activity

    Recognition

    [2] Learning Semantic Features for

    Action Recognition via Diffusion

    Maps

    [3] Learning Semantic Visual

    Vocabularies Using Diffusion Distance

    [4] Recognizing Realistic Actions from

    Videos in the Wild

    3 sv/

    nhm

    7 Nhn dng i tng trong nh

    u vo: nh cha i tng

    u ra: xc nh i tng trong nh

    Dliu: CALTECH 256, CALTECH 101

    [1] Informative Feature Selection for

    Object Recognition via Sparse PCA

    [2] A Comparison of Keypoint

    Descriptors in the Context of

    Pedestrian Detection: FREAK, SURF

    vs BRISK

    [3] Object recognition from local

    scale-invariant features

    2 sv/

    nhm

  • 8/12/2019 Danh_sach_do_an.pdf

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    8 Phn on nh

    u vo: nh

    u ra: cc vng trong nh

    Dliu: PASCAL 2012

    [1] Efficient Graph-Based Image

    Segmentation

    [2] Normalized cuts and image

    segmentation

    2 sv/

    nhm

    9 Pht hin v nhn dng vn bn ngoi

    cnh

    u vo: nh chp tcamera

    u ra: vtr ca vn bn v ni dung

    Dliu: ICDAR 2003/2011

    [1] Text Detection and Character

    Recognition in Scene Images

    with Unsupervised Feature Learning

    [2] Detecting Texts of Arbitrary

    Orientations in Natural Images

    2 sv/

    nhm

    10 Phn lp nh

    u vo: nh

    u ra: xc nh lp nh

    [1] Locality-constrained Linear Coding

    for Image Classification

    [2] Learning Structured Low-rank

    Representations for ImageClassification

    2 sv/

    nhm

    11 Pht hin v nhn dng bin bo giao

    thngu vo: nh cha bin bo giao thng

    u ra: Vtr v tn bin bo giao thng

    [1] Towards Real-Time Traffic Sign

    Recognition by Class-SpecificDiscriminative Features

    [2] Real-time detection and

    recognition of traffic signs

    [3] Vision-Based Traffic Sign

    Detection and Analysis for Intelligent

    Driver Assistance Systems:

    Perspectives and Survey

    2 sv/

    nhm

    Ghi ch:

    -

    Mi ti c ti a 2 nhm ng k- Ngoi cc ti trn cc nhm c thng k ti khng nm trong danh sch trn nu

    c sng ca GV.