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Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving., , , , , , and . ICRA, page 2295-2301. IEEE, (2020)DSC: Dense-Sparse Convolution for Vectorized Inference of Convolutional Neural Networks., , , , and . CVPR Workshops, page 1353-1360. Computer Vision Foundation / IEEE, (2019)Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge., , , , , , , , , and 1 other author(s). WACV, page 53-62. IEEE, (2024)SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation., , , , and . CoRR, (2019)Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , and 2 other author(s). CVPR Workshops, page 66-75. Computer Vision Foundation / IEEE, (2021)A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions., , and . CoRR, (2020)ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks., , , , , , and . DAC, page 1-6. IEEE, (2020)Self-Supervised Learning of the Drivable Area for Autonomous Vehicles., , and . IROS, page 362-369. IEEE, (2018)L2PF - Learning to Prune Faster., , , , , , , , and . CoRR, (2021)MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow., , and . CSCS, page 1:1-1:8. ACM, (2020)