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Session 1: SPAD-Based Sensing |
| 08:45 – 09:45 |
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Keynote Talk: Single-Photon Detectors for Computational Imaging |
Federica Villa, Politecnico di Milano |
| 09:45 – 10:00 |
3889 |
Towards Quantile Sensing |
Vivek Goyal, Boston University |
| 10:00 – 10:30 |
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Break |
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| 10:30 – 10:45 |
4128 |
Generative Point-Cloud Priors for Deblurring and Super-Resolution of Single-Photon LiDAR |
Pallabjyoti Deka, Heriot-Watt University |
| 10:45 – 11:00 |
4196 |
A Lightweight Frontend for Efficient SPAD Image Restoration |
Ville Karlsson, Tampere University |
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Session 2: ToF-Based Sensing and Reconstruction |
| 11:00 – 12:00 |
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Keynote Talk: Another Look at Passive 3D Imaging |
Ioannis Gkioulekas, Carnegie Mellon University |
| 12:00 – 13:30 |
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Lunch |
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| 13:45 – 14:00 |
4234 |
A Compression-based Autoencoder Method for Transient Imaging |
Lianzi Wang, NUAA |
| 14:00 – 14:15 |
4215 |
PHASE TRACE: A Physically Based Ray Tracer for the Simulation of Indirect Time-of-flight Cameras |
Alexandra Mielke, Bonn-Rhine-Sieg University |
| 14:15 – 14:30 |
4253 |
Multi-Line Scanning Hybrid Time-of-Flight Image Sensor with Localized Exposure Control to Suppress Multipath Interference |
Keiichiro Kagawa, Shizuoka University |
| 14:30 – 14:45 |
4076 |
Exploring the use of Time-of-Flight Images for Deep Learning-based Dense Visual SLAM |
Manuel Alejando Cercos Perez, Universitat Jaume I |
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Session 3: Signal Processing Methods for Emerging Time-Resolved Modalities |
| 14:45 – 15:00 |
4222 |
Stochastic Spiking Neural Networks Training via Bayesian Inference: a Comparative Study |
Xiaoyu Wang, Heriot-Watt University |
| 15:00 – 15:30 |
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Break |
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| 15:30 – 16:30 |
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Keynote Talk: Towards Machine-Centric Time-Resolved Imaging |
Ruiming Guo, Imperial College London |
| 16:30 – 16:45 |
3906 |
MSMambaR2UNet: A Multi-Scale Mamba R2U-Net Framework for Quantized Speed-of-Sound Estimation in Ultrasound Computed Tomography |
Ali Noureldeen, Pennsylvania State University |
| 16:45 – 17:00 |
4210 |
Impact of Light Field Compression on Super-Resolution Model Performance |
Daniela Saraiva, Universidade da Beira Interior |