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SuperNormal
SuperNormal Public[CVPR 2024] Official implementation of "SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration"
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dte_adj is a Python package for estimating distribution treatment effects. It provides APIs for conducting regression adjustment to estimate precise distribution functions as well as convenient utils.
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Phoneme alignment based on a variational autoencoder (VAE) and self-supervised learning (SSL) acoustic features.
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Implementation code for experiments with synthetic data in the paper "MODE: Mutual Optimality in Direct Effects of Reciprocal Recommendations in Matching Markets" by Yoji Tomita, RecSys'26.
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Python package for censored regression including time-to-event data, interval-censored data, and competing risks.
- MVSCPS Public
[ICCV 2025] Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues
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