Yuval Haitman

According to our database, Yuval Haitman authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Low Light Image Enhancement Challenge at NTIRE 2026.

George Ciubotariu, S. M. A. Sharif, Abdur Rehman, Fayaz Ali Dharejo, Rizwan Ali Naqvi, Marcos V. Conde, Radu Timofte, Zhi Jin, Hongjun Wu, Wenjian Zhang, Chang Ye, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Nikhil Akalwadi, Varda I Pattanshetty, Varsha I Pattanshetty, Padmashree Desai, Uma Mudenagudi, Ramesh Ashok Tabib, Hao Yang, Ruikun Zhang, Liyuan Pan, Furkan Kinli, Donghun Ryou, Inju Ha, Junoh Kang, Bohyung Han, Wei Zhou, Yuval Haitman, Ariel Lapid, Reuven Peretz, Idit Diamant, Leilei Cao, Shuo Zhang, Praful Hambarde, Prateek Shaily, Jayant Kumar, Hardik Sharma, Aashish Negi, Sachin Chaudhary, Akshay Dudhane, Amit Shukla, Mohao Wu, Lin Wang, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi, Raul Balmez, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Codruta O. Ancuti, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Kaifan Qiao, Bofei Chen, Jingyi Xu, Duo Zhang, Xin Deng, Mai Xu, Shengxi Li, Lai Jiang, Harini A, Ananya N, Lakshanya K, Ying Xu, Xinyi Zhu, Shijun Shi, Jiangning Zhang, Yong Liu, Kai Hu, Jing Xu, Xianfang Zeng, Jinao Song, Guangsheng Tang, Cheng Li, Yuqiang Yang, Ziyi Wang, Yan Chen, Long Bao, Heng Sun, Mohab Kishawy, Jun Chen, Wan-Chi Siu, Yihao Cheng, Hon Man Hammond Lee, Chun-Chuen Hui

CoRR, April, 2026

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion.

Yuval Haitman, Amit Efraim, Joseph M. Francos

CoRR, April, 2026

2025

Invariant Feature Extraction Functions for UME-Based Point Cloud Detection and Registration.

Amit Efraim, Yuval Haitman, Joseph M. Francos

IEEE Trans. Image Process., 2025

DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detection.

Yuval Haitman, Oded Bialer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

BoostRad: Enhancing Object Detection by Boosting Radar Reflections.

Yuval Haitman, Oded Bialer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Mesh-RTUME: Universal Manifold Embedding for Estimating 3D Rigid Transformations of Surfaces.

Yuval Haitman, Joseph M. Francos

Proceedings of the IEEE International Conference on Acoustics, 2024

UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration.

Yuval Haitman, Amit Efraim, Joseph M. Francos

Proceedings of the Computer Vision - ECCV 2024, 2024

RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation.

Oded Bialer, Yuval Haitman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Grassmannian Dimensionality Reduction Using Triplet Margin Loss for Ume Classification of 3d Point Clouds.

Yuval Haitman, Joseph M. Francos, Louis L. Scharf

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Matched Manifold Detection for Group-Invariant Registration and Classification of Images.

Ziv Yavo, Yuval Haitman, Joseph M. Francos, Louis L. Scharf

IEEE Trans. Signal Process., 2021

Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds.

Yuval Haitman, Joseph M. Francos, Louis L. Scharf

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021