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Larisa Markeeva

4 accepted papers

2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

NeurIPS 2023poster

We propose a novel multimodal video benchmark - the Perception Test - to evaluate the perception and reasoning skills of pre-trained multimodal models (e.g. Flamingo, BEiT-3, or GPT-4). Compared to existing benchmarks that focus on computational tasks (e.g. classification, detection or tracking), th…

2022

Knowledge Distillation: A Good Teacher Is Patient and Consistent

CVPR 2022oral

There is a growing discrepancy in computer vision between large-scale models that achieve state-of-the-art performance and models that are affordable in practical applications. In this paper we address this issue and significantly bridge the gap between these two types of models. Throughout our empi…

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2022

TAP-Vid: A Benchmark for Tracking Any Point in a Video

NeurIPS 2022accept

Generic motion understanding from video involves not only tracking objects, but also perceiving how their surfaces deform and move. This information is useful to make inferences about 3D shape, physical properties and object interactions. While the problem of tracking arbitrary physical points on su…

2020

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

NeurIPS 2020poster

We propose a simple interpolation-based method for the efficient approximation of gradients in neural ODE models. We compare it with reverse dynamic method (known in literature as “adjoint method”) to train neural ODEs on classification, density estimation and inference approximation tasks. We als…