30 citations · 76 across the 10 of their papers we have counts for
11 papers
Targeted Review for AI-Assisted Biodiversity Surveys: Active Continuous-Score Occupancy Modeling
Timm Haucke, Lauren Harrell, Justin Kay +2
We increasingly use machine learning to label scientific datasets. The models we develop and deploy are improving all the time, but they are not and will likely never be perfect. M…
Centering Ecological Goals in Automated Identification of Individual Animals
Lukas Picek, Timm Haucke, Lukáš Adam +16
Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…
Deep in the Jungle: Towards Automating Chimpanzee Population Estimation
Tom Raynes, Otto Brookes, Timm Haucke +6
The estimation of abundance and density in unmarked populations of great apes relies on statistical frameworks that require animal-to-camera distance measurements. In practice, acq…
DataS^3: Dataset Subset Selection for Specialization
Neha Hulkund, Alaa Maalouf, Levi Cai +15
In many real-world machine learning (ML) applications (e.g. detecting broken bones in x-ray images, detecting species in camera traps), in practice models need to perform well on s…
Pairwise Matching of Intermediate Representations for Fine-grained Explainability
Lauren Shrack, Timm Haucke, Antoine Salaün +2
The differences between images belonging to fine-grained categories are often subtle and highly localized, and existing explainability techniques for deep learning models are often…
Counting Fish with Temporal Representations of Sonar Video
Kai Van Brunt, Justin Kay, Timm Haucke +3
Accurate estimates of salmon escapement - the number of fish migrating upstream to spawn - are key data for conservation and fishery management. Existing methods for salmon countin…
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
Justin Kay, Timm Haucke, Suzanne Stathatos +5
Object detectors often perform poorly on data that differs from their training set. Domain adaptive object detection (DAOD) methods have recently demonstrated strong results on add…
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity
Timm Haucke, Hjalmar S. Kühl, Volker Steinhage
The development and application of modern technology is an essential basis for the efficient monitoring of species in natural habitats and landscapes to trace the development of ec…
Automated Distance Estimation for Wildlife Camera Trapping
Peter Johanns, Timm Haucke, Volker Steinhage
The ongoing biodiversity crisis calls for accurate estimation of animal density and abundance to identify sources of biodiversity decline and effectiveness of conservation interven…
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps
Timm Haucke, Hjalmar S. Kühl, Jacqueline Hoyer +1
The biodiversity crisis is still accelerating, despite increasing efforts by the international community. Estimating animal abundance is of critical importance to assess, for examp…
Exploiting Depth Information for Wildlife Monitoring
Timm Haucke, Volker Steinhage
Camera traps are a proven tool in biology and specifically biodiversity research. However, camera traps including depth estimation are not widely deployed, despite providing valuab…