Tuzel, Oncel
8 papers on CoChat
Most cited papers
- Verified
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Zhou, Y., & Tuzel, O. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Advanced Neural Network Applications3D Shape Modeling and Analysis
Cited by 4,813
- Verified
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Mirzadeh, I., Alizadeh, K., Shahrokhi, H., Tuzel, O., Bengio, S., & Farajtabar, M. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 714
- Verified
Mvx-net: Multimodal voxelnet for 3d object detection
Sindagi, V. A., Zhou, Y., & Tuzel, O. (2019) · 2019 International Conference on Robotics and Automation (ICRA)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 554
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A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection
Singh, B., Marks, T. K., Jones, M., Tuzel, O., & Shao, M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 461
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Gaussian Conditional Random Field Network for Semantic Segmentation
Vemulapalli, R., Tuzel, O., Liu, M.-Y., & Chellappa, R. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsMedical Image Segmentation Techniques
Cited by 150
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Subject-Aware Contrastive Learning for Biosignals
Cheng, J. Y., Goh, H., Dogrusoz, K., Tuzel, O., & Azemi, E. (2020) · arXiv
EEG and Brain-Computer InterfacesECG Monitoring and Analysis
Cited by 74
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Token Pooling in Vision Transformers
Marin, D., Chang, J.-H. R., Ranjan, A., Prabhu, A., Rastegari, M., & Tuzel, O. (2021) · arXiv
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 34
- Verified
MobileCLIP2: Improving Multi-Modal Reinforced Training
Faghri, F., Vasu, P. K. A., Koc, C., Shankar, V., Toshev, A., Tuzel, O., & Pouransari, H. (2025) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 0
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