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Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks.

, , , and . ICASSP, page 2323-2327. IEEE, (2020)

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Ad-net: Attention Guided Network for Optical Flow Estimation Using Dilated Convolution., , , , and . ICASSP, page 2207-2211. IEEE, (2019)Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks., , , and . ICASSP, page 2323-2327. IEEE, (2020)Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding., , , and . PRCV (1), volume 13534 of Lecture Notes in Computer Science, page 436-448. Springer, (2022)Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels., , , , and . ICIP, page 186-190. IEEE, (2023)Optical Flow Estimation Using Spatial-Channel Combinational Attention-Based Pyramid Networks., , , , and . ICIP, page 1272-1276. IEEE, (2019)Optical flow and scene flow estimation: A survey., , , and . Pattern Recognit., (2021)Cross-Modal Optical Flow Estimation via Modality Compensation and Alignment., , , and . ICASSP, page 1-5. IEEE, (2023)Learning Scene Flow from 3d Point Clouds with Cross-Transformer and Global Motion Cues., , , and . ICASSP, page 1-5. IEEE, (2023)Scene Flow Estimation Based on 3D Local Rigidity Assumption and Depth Map Driven Anisotropic Smoothness., , , , and . IEEE Access, (2018)Spike-Based Optical Flow Estimation Via Contrastive Learning., , , and . ICASSP, page 1-5. IEEE, (2023)