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Found 8 papers, 5 papers with code
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
We design a novel algorithm for optimal transport by drawing from the entropic optimal transport, mirror descent and conjugate gradients literatures.
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos
This motivates the need to temporally localize the instruction steps in such videos, i. e. the task called key-step localization.
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization
In this setup, we seek the optimal step ordering consistent with the procedure flow graph and a given video.
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
Our model is based on a transformer equipped with a memory module, which maps the start and goal observations to a sequence of plausible actions.
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
In our experiments, we show that Drop-DTW is a robust similarity measure for sequence retrieval and demonstrate its effectiveness as a training loss on diverse applications.
Representation Learning via Global Temporal Alignment and Cycle-Consistency
We introduce a weakly supervised method for representation learning based on aligning temporal sequences (e. g., videos) of the same process (e. g., human action).
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
In the context of computer vision, this corresponds to a learnable module that serves two purposes: (i) generate a realistic rendering of a 3D object (shape-to-image translation) and (ii) infer a realistic 3D shape from an image (image-to-shape translation).
Fast Rigid Motion Segmentation via Incrementally-Complex Local Models
The problem of rigid motion segmentation of trajectory data under orthography has been long solved for nondegenerate motions in the absence of noise.
