The final program for the workshop is given in the table below. Please scroll down to the bottom of the page for a list of all accepted papers along with author affiliations.

Program

Time	Talk/Title	Speaker/Author(s)
08:00-8:30	Welcome Session	Organizers
08:30-8:50	Towards Automated Recognition of Facial Expressions in Animal Models	Blumrosen, Hawellek and Pesaran
08:50-9:10	Towards Automated Visual Monitoring of Individual Gorillas in the Wild	Brust et al.
09:10-9:30	Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales	Weideman et al.
09:30-9:50	Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera	Risse et al.
Break
10:20-10:40	Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning	Andrew, Greatwood and Burghardt
10:40-11:00	Towards Automatic Wild Animal Detection in Low Quality Camera-trap Images Using Two-channeled Perceiving Residual Pyramid Networks	Zhu, Li and Li
11:00-11:20	Poster Spotlights
	Deep Census: AUV-Based Scallop Population Monitoring	Rasmussen et al.
	Coral-Segmentation: Training Dense Labeling Models with Sparse Ground Truth	Alonso et al.
	A Computer Vision Framework for Detecting and Preventing Human-Elephant Collisions	Shukla et al.
	Active Learning for the Classification of Species in Underwater Images From a Fixed Observatory	Möller, Nilssen and Nattkemper
11:20-12:05	Panel Discussion
12:05-12:10	Closing Remarks	Organizers
12:10-13:10	Poster Session

Presenter Instructions

Orals
The oral presentations will have a 20 minute slot each. The presenters are requested to prepare a 15 minute presentation, leaving 5 minutes for Q&A and switching speakers. The presenter instructions are the same as those of the main ICCV conference (Please see instructions under "Oral presentations (workshops and tutorials)").

Spotlight Posters
Each poster will be provided a 5 minute slot for a short spotlight presentation. Akin to the spotlight sessions in the main ICCV conference, the presenters are requested to create a video of their slides of a duration no longer than 3 min. 30 seconds. The presenter instructions are the same as those of the main ICCV conference (Please see instructions under "Spotlight presentations").

Poster Sessions
Poster stands will be provided for all accepted papers (both oral & posters). The presenter instructions are the same as those of the main ICCV conference (Please see instructions under "Poster sessions (workshops)").

Accepted Papers

Orals

1. Towards Automated Recognition of Facial Expressions in Animal Models.
   by Gaddi Blumrosen (Computational Biology Center (CBC), IBM), David Hawellek and Bijan Pesaran (Center of Neural Science, NYU)
2. Towards Automated Visual Monitoring of Individual Gorillas in the Wild
   by Clemens-Alexander Brust (Friedrich Schiller University Jena, Germany), Tilo Burghardt (University of Bristol, United Kingdom), Milou Groenenberg (Conservation Society, Global Conservation Program, USA), Christoph Käding (Michael Stifel Center Jena, Germany), Hjalmar S. Kühl (Max Planck Institute for Evolutionary Anthropology, Germany), Marie L. Manguette (Max Planck Institute for Evolutionary Anthropology, Germany) and Joachim Denzler (Friedrich Schiller University Jena, Germany)
3. Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales
   by Hendrik J. Weideman, Zachary M. Jablons (Rensselaer Polytechnic Institute), Jason Holmberg (WildMe), Kiirsten Flynn, John Calambokidis (Cascadia Research Collective), Reny B. Tyson, Jason B. Allen, Randall S. Wells (Chicago Zoological Society’s Sarasota Dolphin Research Program, Mote Marine Laboratory), Krista Hupman (Massey University), Kim Urian (Duke University Marine Laboratory) and Charles V. Stewart (Rensselaer Polytechnic Institute)
4. Visual Tracking of Small Animals in Cluttered Natural Environments Using a Freely Moving Camera
   by Benjamin Risse (School of Informatics, University of Edinburgh, UK), Michael Mangan (Lincoln Centre for Autonomous Systems, University of Lincoln, UK), Luca Del Pero and Barbara Webb (School of Informatics, University of Edinburgh, UK)
5. Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning
   by William Andrew, Colin Greatwood and Tilo Burghardt (Dept. of Computer Science, University of Bristol, United Kingdom)
6. Towards AutomaticWild Animal Detection in Low Quality Camera-trap Images Using Two-channeled Perceiving Residual Pyramid Networks
   by Chunbiao Zhu (SECE, Shenzhen Graduate School, Peking University, China), Thomas H. Li (Gpower Semiconductor Inc, Suzhou, China) and Ge Li (SECE, Shenzhen Graduate School, Peking University, China)

Posters

7. A computer vision framework for detecting and preventing Human-Elephant Collisions
   by Pushkar Shukla (University of California , Santa Barbara), Isha Dua (International Institute of Technology, Hyderabad), Balasubramanian Raman (Indian Institute of Technology, Roorkee) and Ankush Mittal (Graphic Era University, Dehradun)
8. Coral-Segmentation: Training Dense Labeling Models with Sparse Ground Truth
   by Iñigo Alonso, Ana Cambra, Adolfo Muñoz (DIIS-i3A. Universidad de Zaragoza, Spain), Tali Treibitz (Charney School of Marine Sciences. University of Haifa, Israel) and Ana C. Murillo (DIIS-i3A. Universidad de Zaragoza, Spain)
9. Active learning for the classification of species in underwater images from a fixed observatory
   by Torben Möller (Biodata Mining Group, Bielefeld University, Germany), Ingunn Nilssen (Statoil ASA, Research and Technology, Norway) and Tim W. Nattkemper (Biodata Mining Group, Bielefeld University, Germany)
10. Deep Census: AUV-Based Scallop Population Monitoring
    by Christopher Rasmussen, Jiayi Zhao, Danielle Ferraroy, and Arthur Trembanis (University of Delaware, USA)