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Sepehr Jalali
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2020 – today
- 2021
- [c9]Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu:
Optimal Order Simple Regret for Gaussian Process Bandits. NeurIPS 2021: 21202-21215 - [c8]Ye Tian, Tim Nieradzik, Sepehr Jalali, Da-Shan Shiu:
How does BERT process disfluency? SIGDIAL 2021: 208-217 - [i5]Fan Fu, Tingting Xie, Ioannis Patras, Sepehr Jalali:
Relationship-based Neural Baby Talk. CoRR abs/2103.04846 (2021) - [i4]Philipp Ennen, Yen-Ting Lin, Ali Girayhan Özbay, Ferdinando Insalata, Maolin Li, Ye Tian, Sepehr Jalali, Da-Shan Shiu:
Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging. CoRR abs/2105.10267 (2021) - [i3]Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu:
Optimal Order Simple Regret for Gaussian Process Bandits. CoRR abs/2108.09262 (2021) - 2020
- [j1]Claudio S. Ravasio, Theodoros Pissas, Edward Bloch, Blanca Flores, Sepehr Jalali, Danail Stoyanov, M. Jorge Cardoso, Lyndon Da Cruz, Christos Bergeles:
Learned optical flow for intra-operative tracking of the retinal fundus. Int. J. Comput. Assist. Radiol. Surg. 15(5): 827-836 (2020) - [i2]Federica Freddi, Jezabel R. Garcia, Michael Bromberg, Sepehr Jalali, Da-Shan Shiu, Alvin Chua, Alberto Bernacchia:
Cyclic orthogonal convolutions for long-range integration of features. CoRR abs/2012.06462 (2020)
2010 – 2019
- 2019
- [c7]Tim Laibacher, Tillman Weyde, Sepehr Jalali:
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. CVPR Workshops 2019: 115-124 - 2018
- [i1]Tim Laibacher, Tillman Weyde, Sepehr Jalali:
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments. CoRR abs/1811.07738 (2018) - 2013
- [c6]Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor:
Visual Recognition using a Combination of Shape and Color Features. CogSci 2013 - [c5]Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor:
Encoding Co-occurrence of Features in the HMAX Model. CogSci 2013 - [c4]Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor:
The use of optical and sonar images in the human and dolphin brain for image classification. IJCNN 2013: 1-8 - [c3]Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor:
Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach. IJCNN 2013: 1-8 - 2012
- [c2]Sepehr Jalali, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong:
Clustering and use of spatial and frequency information in a biologically inspired approach to image classification. IJCNN 2012: 1-8 - 2010
- [c1]Sepehr Jalali, Joo-Hwee Lim, Sim Heng Ong, Jo Yew Tham:
Dictionary of Features in a Biologically Inspired Approach to Image Classification. ICONIP (2) 2010: 541-548
Coauthor Index
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