| LDR | | 02412nam u200421 4500 |
| 001 | | 000000420037 |
| 005 | | 20190215164144 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438019713 |
| 035 | |
▼a (MiAaPQ)AAI10825719 |
| 035 | |
▼a (MiAaPQ)ucla:16805 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Qi, Hang. |
| 245 | 12 |
▼a A Joint Parsing System for Visual Scene Understanding. |
| 260 | |
▼a [S.l.]:
▼b University of California, Los Angeles.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 93 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Song-Chun Zhu. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 520 | |
▼a The computer vision community has been long focusing on classic tasks such as object detection, human attributes classification, action recognition. While the state-of-the-art performance is getting improved every year for a wide range of tasks, |
| 520 | |
▼a This dissertation contains three main parts. |
| 520 | |
▼a Firstly, we describe a restricted visual Turing test scenario that evaluates computer vision systems across various tasks with a domain ontology and explicitly tests the grounding of concepts with formal queries. We present a benchmark for evalu |
| 520 | |
▼a Secondly, we propose a scalable system which leverages off-the-shelf computer vision modules to parse cross-view videos jointly. The system defines a unified knowledge representation for information sharing and is extendable to new tasks and dom |
| 520 | |
▼a Thirdly, we discuss a principled method to construct parse graph knowledge bases that retains rich structures and grounding details. By casting questions into graph fragments, we present a graph-matching based question-answering system that retr |
| 590 | |
▼a School code: 0031. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a University of California, Los Angeles.
▼b Computer Science 0201. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0031 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998800
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |