The International Workshop and Challenge on

Real-World Recognition

from Low-Quality Images and Videos

(RLQ)

in conjunction with ICCV 2019

- to understand the robustness of algorithms in non-ideal visual environments

Photo: Shutterstock

FOR-LQ@ICCV2019: Text

Program

Sunday, 27 Oct, 317BC, COEX Convention Center

[Morning Session]

9:00 Opening Remarks
9:15 Invited Talk 1: Deep Pedestrian Detection across Occlusion with Geometric Context

Gang Hua (VP & Chief Scientist, Wormpex AI Research)

10:00 Coffee Break and Poster Session I
11:00 Invited Talk 2: Robust Face Recognition and Verification from Low-Quality Images and Videos

Rama Chellappa (Professor, University of Maryland)

11:45 Invited Talk 3: Unconstrained Computer Vision

Manmohan Chandraker (Professor, UC San Diego)

12:30 Lunch Break

[Afternoon Session]

13:30 Invited Talk 4: Tackling Person Identification at a Distance: Pose, Resolution and Gait

Xiaoming Liu (Professor, Michigan State University)

14:15 Oral 1: Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes?

Alfred Laugros*; Alice Caplier; Matthieu Ospici (Atos)

14:25 Oral 2: SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition

Younkwan Lee*; Juhyun Lee; Hoyeon Ahn; Moongu Jeon (GIST)

14:35 Oral 3: Non-discriminative data or weak model? On the relative importance of data and model resolution

Mark Sandler*; Jonathan Baccash; Andrey Zhmoginov; Andrew Howard (Google)

14:45 QMUL Challenge Introduction and Results Announcement
15:00 Challenge Winner Talk: Towards Real-world Low-quality Face Recognition

Xiaobo Wang, Shuo Wang (JD AI Research)

15:10 Oral 4: Generatively Inferential Co-Training for Unsupervised Domain Adaptation

Can Qin*; Lichen Wang; Yulun Zhang; Yun Fu (Northeastern University)

15:20 Oral 5: Unsupervised Outlier Detection in Appearance-Based Gaze Estimation

Zhaokang Chen*; Didan Deng; Jimin Pi; Bertram Shi (HKUST)

15:25 Workshop Award Ceremony: Best Paper, Outstanding Paper, Challenge Winner
15:30 Coffee Break and Poster Session II
16:25 ICCV Oral Invited Talk 1: Seeing Motion in the Dark

Chen Chen(UIUC); Qifeng Chen*(HKUST); Minh N. Do(UIUC); Vladlen Koltun(Intel)

16:35 ICCV Oral Invited Talk 2: Two-Stream Action Recognition-Oriented Video Super-Resolution

Haochen Zhang*, Dong Liu, Zhiwei Xiong (USTC)

16:45 Invited Talk 5: Legal and Ethical Considerations of Real-World Face Recognition

Matthew Turk (President, TTIC)

17:30 Panel Discussion: Robustness, Legal, Ethics and Future Trend of Low-Quality Vision

Panelists: Matthew Turk, Rama Chellappa, Gang Hua, Bertram Shi, Xiaoming Liu, Dong Liu

Moderator: Zhangyang(Atlas) Wang

FOR-LQ@ICCV2019: List

Main Track Important Dates

Accepted Paper

Accepted Full Paper (Full Text available)

Morning Session Poster I: (Until 1pm)

Poster ID - Paper Name - Author List

(#96) Extreme Low Resolution Action Recognition with Spatial-Temporal Multi-Head Self-Attention and Knowledge Distillation (Purwanto, Didik Mr*; Pramono, Rizard Renanda Adhi; Chen, Yie-Tarng; Fang, Wen-Hsien)
(#97) Online Multi-task Clustering for Human Motion Segmentation(Sun, Gan*; Cong, Yang; Wang, Lichen; Ding, Zhengming; Fu, Yun)
(#98) Feature Aggregation Network for Video Face Recognition(Liu, Zhaoxiang*; hu, huan; Bai, Jinqiang; li, shaohua; Lian, Shiguo)
(#99) Recognizing Compressed Videos: Challenges and Promises(Pourreza, Reza*; Ghodrati, Amir; Habibian, Amirhossein)
(#100) Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring(Dhanakshirur, Rohan Raju*; Tabib, Ramesh ; Patil, Ujwala; Mudenagudi, Uma)
(#101) Low Quality Video Face Recognition: Multi-mode Aggregation Recurrent Network (MARN)(Sixue, Gong*; Shi, Yichun; Jain, Anil)
(#102) Non-discriminative data or weak model? On the relative importance of data and model resolution(Sandler, Mark*; Baccash, Jonathan; Zhmoginov, Andrey; Howard, Andrew)
(#103) GSR-MAR: Global Super-Resolution for Person Multi-Attribute Recognition(Siadari, Thomhert S*; Han, Mikyong; Yoon, Hyunjin)
(#104) Image Deconvolution with Deep Image and Kernel Priors(Wang, Zhunxuan*; Wang, Zipei; Li, Qiqi; Bilen, Hakan)
(#105) Indoor Depth Completion with Boundary Consistency and Self-Attention(Huang, Yu-Kai*; Wu, Tsung-Han; Liu, Yueh-Cheng; Hsu, Winston H.)

Afternoon Session Poster II: (After 1pm)

Poster ID - Paper Name - Author List

(#96) QMUL Surveillance Face Recognition Challenge(Zhiyi Cheng, Qi Dong, Xiatian Zhu, Shaogang Gong)
(#97) Generatively Inferential Co-Training for Unsupervised Domain Adaptation(Qin, Can*; Wang, Lichen; Zhang, Yulun; Fu, Yun)
(#98) Are Adversarial Robustness and Common Perturbation Robustness Independant Attributes ?(Laugros, Alfred*; Caplier, Alice ; Ospici, Matthieu)
(#99) Unsupervised Outlier Detection in Appearance-Based Gaze Estimation(Chen, Zhaokang*; Deng, Didan; Pi, Jimin; Shi, Bertram)
(#100) Unsupervised Deep Feature Transfer for Low Resolution Image Classification(Wu, Yuanwei*; Zhang, Ziming; Wang, Guanghui)
(#101) SNIDER: Single Noisy Image Denoising and Rectification for Improving License Plate Recognition( Lee, Younkwan*; Lee, Juhyun; Ahn, Hoyeon; Jeon, Moongu)
(#102) Intra-Camera Supervised Person Re-Identification: A New Benchmark(zhu, xiangping*; Zhu, Xiatian; Li, Minxian; Murino, Vittorio; Gong, Shaogang)
(#103) State-of-the-Art in Action: Unconstrained Text Detection(Nguyen, Diep T.N.)
(#104) Real-time Age-Invariant Face Recognition in Videos using the ScatterNet Inception Hybrid Network (SIHN)(Bodhe, Saurabh*; Singh, Amarjot; Kapse, Prathamesh P)
(#105) Recognizing Tiny Faces(Mynepalli, Siva Chaitanya*; Hu, Peiyun; Ramanan, Deva)

Accepted Abstract

Floating Ground-truth Labels(Kim, Jiman*; Park, Chanjong) [pdf]
Image Super Resolution Techniques Applied on Satellite Imagery(Phetmunee, Chitipat*; Doan, Hien Thi; Vu, Dieu Hoang; Ahn, Donghyun; Cha, Hyunji; Han, Sungwon; Cha, Meeyoung) [pdf]
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?(Zhang, Haochen; Liu, Dong*; Xiong, Zhiwei) [pdf]
Recognizing Emotions from Out-of-domain Facial Expressions Produced by Non-Actors(Kim, Taehyeong*; Yang, Seung Hee; Ko, Hyunwoong; Cho, Sungjae; Lee, Jun-Young; Zhang, Byoung-Tak) [pdf]
Underwater Image Enhancement via Group-Wise Deep Whitening and Colouring Transforms(Jamadandi, Adarsh*; Desai, Chaitra D; Tabib, Ramesh ; Mudenagudi, Uma) [pdf]
Application of Face Recognition Technology to a History Project(Roman-Basora, Manuel*) [pdf]
Wavelet Pooling for Convolutional Neural Networks using Unitary Gates(Jamadandi, Adarsh*; Mudenagudi, Uma) [pdf]
Framework for Underwater Dataset Generation and Classification Towards Modeling Restoration(Desai, Chaitra D*; Tabib, Ramesh ; Patil, Anisha J; Karanth, Samanvitha U; Jamadandi, Adarsh; Patil, Ujwala; Mudenagudi, Uma) [pdf]
Adaptive Color Correction for Underwater Image Enhancement(Hegde, Deepti B*; Desai, Chaitra D; Tabib, Ramesh ; Mudenagudi, Uma; Bora, Prabin) [pdf]

FOR-LQ@ICCV2019: Speakers

Invited Speakers

Rama Chellappa

Professor, University of Maryland

Robust Face Recognition and Verification from Low-Quality Images and Videos

Prof. Rama Chellappa is a Minta Martin Professor in the A.J. Clark School of Engineering at University of Maryland. Before that, he served as the Chair of the Electrical and Computer Engineering Department from 2011-2018. His current research interests are face and gait analysis, secure biometrics, 3D modeling from video, image/video exploitation from stationary and moving platforms, compressive sensing, hyper spectral processing, and commercial applications of image processing and understanding.

Matthew Turk

President of TTIC

Legal and Ethical Considerations of Real-World Face Recognition

Prof. Matthew Turk is the President of TTIC. Prior to joining TTIC in 2019, Turk was a Department Chair from 2017 to 2019 at the University of California, Santa Barbara. Turk’s primary research interests are in computer vision and machine learning, augmented and mixed reality, and human-computer interaction. His famous work Eigenfaces is fairly popular among face recognition algorithms.

Gang Hua

VP & Chief Scientist, Wormpex AI Research

Deep Pedestrian Detection across Occlusion with Geometric Context

Dr. Gang Hua is the Vice President and Chief Scientist of Wormpex AI Research. Before that, he served in various roles at Microsoft as the Science/Technical Adviser to the CVP of the Computer Vision Group, Director of Computer Vision Science Team in Redmond and Taipei ATL, and Senior Principal Researcher/Research Manager at Microsoft Research. His research focuses on computer vision, pattern recognition, machine learning, robotics, towards general Artificial Intelligence, with primary applications in cloud and edge intelligence, and currently with a focus on new retail intelligence.

Xiaoming Liu

Associate Professor, Michigan State University

Tackling person identification at a distance: pose, resolution and gait

Prof. Xiaoming Liu is an associate professor at Michigan State University, and the leader of Computer Vision Lab. Prior to joining MSU, he was a research scientist at the Computer Vision Laboratory of GE Global Research. His research interests include computer vision, pattern recognition, machine learning, biometrics, human computer interface, etc.

Manmohan Chandraker

Assistant Professor, UC San Diego

Topic: Unconstrained Computer Vision

Prof. Manmohan Chandraker is an assistant professor at the CSE department of the University of California, San Diego. He was a postdoctoral scholar at UC Berkeley and leads computer vision research at NEC Labs. His research interests are in computer vision, machine learning and graphics-based vision, with applications to autonomous driving and human-computer interfaces.

FOR-LQ@ICCV2019: Schedule

Organizing Committee

Yuqian Zhou

Ph.D at UIUC

Yunchao Wei

Postdoc Researcher & Project Scientist at UIUC

Zhangyang Wang

Assistant Professor at TAMU

Jiaying Liu

Associate Professor at PKU

Ding Liu

Research Scientist, Bytedance Inc

Shaogang Gong

Professor at QMUL

Jeffrey Cohn

Professor at University of Pittsburgh & CMU

Nicu Sebe

Professor at University of Trento

Honghui Shi

Research Staff Member

IBM Research

Thomas S. Huang

Professor at UIUC

FOR-LQ@ICCV2019: Speakers

Challenge Committee

Zhiyi Cheng

Ph.D at QMUL

Qi Dong

Ph.D at QMUL

FOR-LQ@ICCV2019: List

Program Committee

Academic Committee

Dr. C.-C. Jay Kuo, Professor, IEEE Fellow, University of Southern California
Dr. Jiebo Luo, Professor, IEEE Fellow, University of Rochester
Dr. Zhouchen Lin, Professor, IEEE Fellow, Peking University
Dr. Dacheng Tao, Professor, IEEE Fellow, University of Sydney, Australia
Dr. Chia-Wen Lin, Professor, IEEE Fellow, National Tsing Hua University
Dr. Weiyao Lin, Professor, Shanghai Jiao Tong University
Dr. Ruiqin Xiong, Professor, Peking University
Dr. Shuicheng Yan, Associate Professor, IEEE Fellow, National University of Singapore
Dr. Xiaoning Qian, Associate Professor, Texas A&M University
Dr. Dong Liu, Associate Professor, University of Science and Technology of China
Dr. Chen Change Loy, Associate Professor, Nanyang Technological University
Dr. Xiaojie Guo, Associate Professor, Tianjin University
Dr. Jiashi Feng, Assistant Professor, National University of Singapore
Dr. Xinchao Wang, Assistant Professor, Stevens Institute of Technology
Dr. Bihan Wen, Assistant Professor, Nanyang Technological University
Dr. Hien Van Nguyen, Assistant Professor, University of Houston
Dr. Peixi Peng, Assistant Professor, Chinese Academy of Sciences
Dr. Tongliang Liu, Assistant Professor, University of Sydney, Australia
Dr. Kede Ma, Postdoc Researcher, New York University

Mr. Yang Fu, Ph.D Student, UIUC

Mr. Kuangxiao Gu, Ph.D Student, UIUC

Industrial Committee

Dr. Wenjun Zeng, Principal Researcher, IEEE Fellow, Microsoft Research Asia
Dr. Jianchao Yang, Director of AI Lab, ByteDance
Dr. Haichao Zhang, Senior Research Scientist, Baidu Research
Dr. Zhaowen Wang, Research Scientist, Adobe Research
Dr. Yang Yang, Principal Data Scientist, Walmart Tech
Dr. Shaodi You, Senior Research Scientist, Data61, CSIRO, Australia
Dr. Wei Zhang, Senior Research Scientist, JD AI Research
Dr. Yu Li, Senior Engineer, BlackMagic Design

Contact

If you have questions about the paper submission, our schedule or general information, don’t hesitate to reach out via the following emails or the form on the right!

COEX Convention Center
513, Yeongdong-daero, Gangnam-gu
Seoul 06164 Republic of Korea

General Inquiry: chairs@forlq.org

Challenge Inquiry: challenge@forlq.org

Thanks for submitting!