[visionlist] [Deadline Extension]CFP: ICCV 2019 Workshop and Challenge on Real-World Recognition from Low-Quality Images and Videos (RLQ2019)

yuqian zhou zhouyuqian133 at gmail.com
Tue Jul 30 05:20:48 -04 2019

ICCV 2019 Workshop and Challenge on Real-World Recognition from Low-Quality
Images and Videos (RLQ2019)
Seoul, South Korea, 27 Oct 2019

What is the current state-of-the-art for recognition and detection
algorithms in non-ideal visual environments? We are organizing the RLQ
workshop and challenge in ICCV 2019. RLQ 2019 consists of challenge,
keynote speech, paper presentation, poster session, special session on
privacy and ethics of visual recognition, and a panel discussion from the
invited speakers.

Important Dates
Paper submission deadline: *Aug. 8*, 2019 (11:59PM PST)
Notification to authors: Aug. 20, 2019 (11:59PM PST)
Camera-ready deadline: Aug. 28, 2019 (11:59PM PST)
Workshop day: Oct. 27, 2019 (Full day)

[Challenge Track] by 30 Aug. 2019
• Low-quality Image Recognition Challenge organized by QMUL

Call for Papers
Original high-quality contributions are solicited on the following topics:

 [Paper Track]
• Robust recognition and detection from low-resolution image/video
• Robust recognition and detection from video with motion blur
• Robust recognition and detection from highly noisy image/video
• Robust recognition and detection from other unconstrained environment
• Artificial Degradations
• Low-resolution image/video enhancement, especially for recognition
• Image/video denoising and deblurring, especially for recognition purpose
• Restoration and enhancement of other common degradations, such as
low-illumination, inclement weathers, etc., especially for recognition
• Novel methods and metrics for image restoration and enhancement
algorithms, especially for recognition purpose
• Surveys of algorithms and applications with LQ inputs in computer vision
• Psychological and cognitive science research with proper data processing
and enhancement
• Novel calibration and registration methods on gaze or object images etc.
for recognition or detection purpose.
• Novel imperfect low-quality data mining, cleaning, and processing methods
for training a recognition system.
• Other novel applications that robustly handle computer vision tasks with
LQ inputs
• Special Topic: Legal, privacy, and ethics in recognition

[Abstract Track]
We solicit “positioning” write-ups,  in the form of short non-archival
abstracts. They shall address important issues that may generate a lasting
impact for next 5-year research in the field of recognition in low-quality
visual data. Examples may include but are not limited to,
• Proposing novel technical solutions: preliminary works and “half-baked”
results are welcome
• Identifying grand challenges that are traditionally overlooked or
• Discussing rising applications where recognition from low-quality visual
data might have been a critical bottleneck
• Raising new research questions that may be motivated by emerging
• New datasets, new benchmark efforts, and/or new evaluation strategies
• Integration of low-quality visual recognition into other research topics

Authors Guidelines
- Each submitted full-paper must be no longer than eight pages, excluding
references. Please refer to the ICCV-2019 author submissions guidelines
regarding formatting, templates, and policies. The submissions will go
through a double-blind review process by the program committee. Selected
papers will be published in ICCV IEEE/CVF Workshop proceedings.
- Each submitted abstract must be no longer than two pages, excluding
references, in the format of ICCV-2019. The non-blind submissions will be
also reviewed by the program committee, on a selective and competitive
basis. The accepted abstracts will appear on the website. The workshop
organizers will lead a collective positioning paper, targeted at a top-tier
journal such as TPAMI or IJCV. Those whose abstracts are selected will be
invited as co-authors of this paper (the author order will be
- We will set up best paper awards for the full papers.

Invited Speakers
Rama Chellappa Prof. UMD
Matthew Turk, Prof. UCSB
Gang Hua, VP&Chief Scientist, Wormpex AI Research
Jeffrey Cohn, Prof. Pitt&CMU
Manmohan Chandraker, Prof. UCSD
Xiaoming Liu, Prof. MSU

General Inquiry: chairs at forlq.org
Challenge Inquiry: challenge at forlq.org
Website: www.forlq.org

**It would be highly appreciated if you could disseminate this CFP among
your colleagues**
Ph.D Candidate of ECE Department, Beckman Institute
*University of Illinois at Urbana-Champaign (UIUC) *
Master of Philosophy of ECE Department
*The Hong Kong University of Science and Technology*
Phone: +1 (217) 607 3041
Email: zhouyuqian133 at gmail.com, yuqian2 at illinois.edu, yzhouas at ust.hk
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