Program (Oct 27, 2019)
Venue: Room327A, COEX Convention Center
8:50-9:00 | Opening remark |
9:00-9:30 | Invited Talk 1: Prof. Oisin Mac Aodha (Univ. Edinburgh) & Prof. Pietro Perona (Caltech) |
Fine-Grained Recognition with Humans-in-the-Loop [Slides] | |
9:30-10:00 | Invited Talk 2: Prof. Subhransu Maji (UMass) |
DarkEcology: Unraveling Mysteries of Bird Migration using Weather Radar and Machine Learning [PDF] [PPT] | |
10:00-11:00 | Morning break |
11:00-11:15 | Oral-1: paper #1: Max Bain (Oxford) |
Count, Crop, Recognise: Fine-Grained Recognition in the Wild [Slides] | |
11:15-11:30 | Oral-2: paper #3: Andrew Howard (Google) |
Geo-Aware Networks for Fine Grained Recognition | |
11:30-11:45 | Oral-3: paper #4: Sara M Beery (Caltech) |
Camera traps: generalization, sample efficiency, best practices, benchmarks, and de-siloing data [Slides] | |
11:45-12:00 | Oral-4: paper #13: Silvia Zuffi (MPI) |
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild" [Slides] | |
12:00-13:30 | Lunch break |
13:30-14:00 | Invited talks 3: Rohit Singh & Peiqi Liu (WWF) |
Needs of Big Cats Convervation for computer vision [Slides] | |
14:00-14:25 | Summary of ATRW Challenge and Awards: Jianguo Li (Intel Labs) [Slides] |
14:25-14:40 | Track-1 winner talk: paper #21: Dzmitry Pranchuk |
Fast and Efficient Object Detection Model for Real-Time Tiger Detection In The Wild [Slides] | |
14:40-15:00 | Track-3&4 winner talk (same team): paper #23: Linjun Guo |
Part-Pose Guided Amur Tiger Re-identification [Slides] | |
15:00-16:30 | Breaks and poster session (all papers have poster) |
16:30-17:00 | Invited talks 4: Dr. Jingdong Wang (Microsoft Research Asia) |
HRNet: Deep High-Resolution Representation Learning for Visual Recognition [Slides] | |
17:00-17:30 | Panel discussion |
17:30-17:35 | Close remarks |
Accept Paper List (Workshop Proceeding)
Contributed Paper Track
- #1(poster-125): Count, Crop, Recognise: Fine-Grained Recognition in the Wild; Oral
Max Bain (University of Oxford)*; Arsha Nagrani (Oxford University); Andrew Zisserman (University of Oxford) - #3(poster-126): Geo-Aware Networks for Fine Grained Recognition; Oral
Grace Chu (Google)*; Brian Potetz (Google); Weijun Wang (Google); Andrew Howard (Google); Yang Song (Google); Fernando Brucher (Google); Thomas Leung (Google); Hartwig Adam (Google) - #8(poster-127): Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending;
Xinyu Yang (University of Bristol)*; Majid Mirmehdi (University of Bristol); Tilo Burghardt (University of Bristol) - #11(poster-128): ELPephants: A Fine-Grained Dataset for Elephant Re-Identification;
Matthias Körschens (Friedrich Schiller University Jena)*; Joachim Denzler (Friedrich Schiller University Jena) - #12(poster-129): DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives;
Julian Ulrich Marstaller (Karlsruhe Institute of Technology (KIT))*; Simon Stock (KIT); Frederic Tausch (KIT) - #17(poster-130): Learning Deep Features for Giant Panda Gender Classification using Face Images;
Hongnian Wang (Sichuan Normal University, SICNU); Han Su (SICNU)*; Peng Chen (Chengdu Research Base of Giant Panda Breeding); Rong Hou (Chengdu Research Base of Giant Panda Breeding); Zhihe Zhang (Chengdu Research Base of Giant Panda Breeding); Weiyi Xie (SICNU)
Challenge Solution Track
- #7(poster-131): Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification;
Ning Liu (SiChuan University); Qijun Zhao(Sichuan University)*; Nan Zhang (SiChuan University); Xinhua Cheng (SiChuan University); Jianing Zhu (SiChuan University) - #19(poster-132): A Hybrid Approach for Tiger Re-Identification;
Ankita Shukla (IIIT Delhi)*; Connor Anderson (Brigham Young University); Gullal Cheema (IIIT Delhi); Pei Guo (Brigham Young University); Suguru Onda (Brigham Young University); Divyam Anshumaan (IIIT Delhi); Saket Anand (IIIT Delhi); Ryan Farrell (Brigham Young University) - #20(poster-133): Bag of Tricks and A Strong Baseline for Tiger Re-ID;
Jiwen Yu (Northwestern Polytechnical University, NWPU); Junnan Liu (NWPU); Zhizheng Yang (NWPU); Zhouyangzi Zhang (NWPU); yixin zhu (NWPU); Haibo Su (NWPU); Lu Yang (NWPU); BingLiang Jiao (NWPU); Peng Wang (NWPU)* - #21(poster-134): Fast and Efficient Object Detection Model for Real-Time Tiger Detection In The Wild; Oral
Orest Kupyn (Ukrainian Catholic University)*; Dzmitry Pranchuk (WANNABY) - #23(poster-135): Part-Pose Guided Amur Tiger Re-identification; Oral
Cen Liu (Ningbo University); Rong Zhang (Ningbo University); Linjun Guo (Ningbo University)*
Peer Reviewed Track
- #4(poster-136): Recognition in Terra Incognita, ECCV 2018; Oral
Sara M Beery (Caltech)*; Grant Van Horn (Caltech); Pietro Perona (Caltech) - #6(poster-137): Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning, IEEE TGRS;
Benjamin Kellenberger (Wageningen University and Research)*; Diego Marcos (Wageningen University); Sylvain Lobry (Wageningen University and Research); Devis Tuia (Wageningen University and Research) - #10(poster-138): Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification, ICML 2019 Workshop "AI for Social Good";
Léonard Boussioux (Ecole Centrale Paris, MILA, MIT)*; Charles Guille-Escuret (U. Montreal, MILA); Tomas Giro-Larraz (Ecole CentraleSupélec, EPFL); Baptiste Goujaud (MILA); Mehdi Cherti (Mines Paristech); Balaszs Kegl (ChaLearn) - #13(poster-139): Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild", ICCV 2019; Oral
Silvia Zuffi (IMATI-CNR)*; Angjoo Kanazawa (UCBerkeley); Tanya Berger-Wolf (University of Illinois at Chicago); Michael J. Black (Max Planck Institute for Intelligent Systems) - #15(poster-140): Presence-Only Geographical Priors for Fine-Grained Image Classification, ICCV 2019;Oral
Oisin Mac Aodha (Caltech)*; Elijah Cole (Caltech); Pietro Perona (Caltech)