Conferences:

1. Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories
   B. Zha and A. Yilmaz
   25th International Conference on Pattern Recognition. Milan, Italy. 2020

2. Learning Maps for Object Localization using Visual-Inertial Odometry
   B. Zha and A. Yilmaz
   XXIV ISPRS Congress. Nice, Frace. 2021

3. Trajectory Mining for Localization using Recurrent Neural Network
   B. Zha, T. Koroglu and A. Yilmaz
   6th CSCI Symposium on Big Data and Data Science. Las Vegas, USA. 2019

4. Pedestrian Localization on Topological Maps with Neural Machine Translation Network
   J. Wei, M. Koroglu, B. Zha and A. Yilmaz
   IEEE Sensors Conference. Montreal, Canada. 2019

5. Off-site Dose Prediction for Decision Making Using Recurrent Neural Networks
   B. Zha, A. Yilmaz, T. Aldemir
   ANS Winter Meeting and Nuclear Technology Expo. Washington DC, USA. 2019

6. Investigation on the SegNet Deep Neural Network for Aerial Image Segmentation and Classification
   Z. Koppanyi, C. Toth, D. Iwaszczuk, B. Zha and A. Yilmaz
   ASPRS Annual Conference and International Lidar Mapping Forum. Denver, USA. 2019

7. Deep Convolutional Neural Networks For Classification In Comprehensive Structural Health Monitoring
   B. Zha. M. Bai, H. Sezen and A. Yilmaz
   12th International Workshop on Structural Health Monitoring. San Jose, USA. 2019

8. SEMANTIC LABELING OF STRUCTURAL ELEMENTS IN BUILDINGS BY FUSING RGB AND DEPTH IMAGES IN AN ENCODER-DECODER CNN FRAMEWORK D. Iwaszczuk, Z. Koppanyi, N. A. Gard, B. Zha, C. Toth, A. Yilmaz
   ISPRS TC I Mid-term Symposium. Karlsruhe, Germany. 2018

Book Chapters:

1. Chapter 3 - Multimodal Semantic Segmentation: Fusion of RGB and Depth Data in Convolutional Neural Networks Zoltan Koppanyi, Dorota Iwaszczuk, Bing Zha, Can Jozef Saul, Charles Toth, Alper Yilmaz
   Multimodal Scene Understanding - Algorithms, Applications and Deep Learning. 2019