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20172026
most citedRe-ID done right: towards good practices for person re-identification

92 citations · 154 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

Beyond Language Modeling: An Exploration of Multimodal Pretraining

Shengbang Tong, David Fan, John Nguyen +18

The visual world offers a critical axis for advancing foundation models beyond language. Despite growing interest in this direction, the design space for native multimodal models r…

cs.CV2023

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation

Dahyun Kang, Piotr Koniusz, Minsu Cho +1

We address the task of weakly-supervised few-shot image classification and segmentation, by leveraging a Vision Transformer (ViT) pretrained with self-supervision. Our proposed met…

cs.CV20221 cited

Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection

Shan Zhang, Naila Murray, Lei Wang +1

In this paper, we tackle the challenging problem of Few-shot Object Detection. Existing FSOD pipelines (i) use average-pooled representations that result in information loss; and/o…

cs.CV2021

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation

M. Saquib Sarfraz, Naila Murray, Vivek Sharma +3

Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video understanding tasks. For this…

cs.CV202019 cited

Virtual KITTI 2

Yohann Cabon, Naila Murray, Martin Humenberger

This paper introduces an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark. In addition, the dataset pro…

cs.CV2019

Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models

César Roberto de Souza, Adrien Gaidon, Yohann Cabon +2

Deep video action recognition models have been highly successful in recent years but require large quantities of manually annotated data, which are expensive and laborious to obtai…