activity
20152024
most citedOpen-vocabulary Object Detection via Vision and Language Knowledge Distillation

281 citations · 642 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 2 cited

Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning

AJ Piergiovanni, Weicheng Kuo, Anelia Angelova

We present a simple approach which can turn a ViT encoder into an efficient video model, which can seamlessly work with both image and video inputs. By sparsely sampling the inputs…

cs.CV2022

Pre-training image-language transformers for open-vocabulary tasks

AJ Piergiovanni, Weicheng Kuo, Anelia Angelova

We present a pre-training approach for vision and language transformer models, which is based on a mixture of diverse tasks. We explore both the use of image-text captioning data i…

cs.CV2022★ 37 cited

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models

Weicheng Kuo, Yin Cui, Xiuye Gu +2

We present F-VLM, a simple open-vocabulary object detection method built upon Frozen Vision and Language Models. F-VLM simplifies the current multi-stage training pipeline by elimi…

cs.CV2022★ 196 cited

PaLI: A Jointly-Scaled Multilingual Language-Image Model

Xi Chen, Xiao Wang, Soravit Changpinyo +26

Effective scaling and a flexible task interface enable large language models to excel at many tasks. We present PaLI (Pathways Language and Image model), a model that extends this…

cs.CV2022★ 2 cited

Video Question Answering with Iterative Video-Text Co-Tokenization

AJ Piergiovanni, Kairo Morton, Weicheng Kuo +2

Video question answering is a challenging task that requires understanding jointly the language input, the visual information in individual video frames, as well as the temporal in…

cs.CV2022★ 16 cited

Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering

AJ Piergiovanni, Wei Li, Weicheng Kuo +3

We present Answer-Me, a task-aware multi-task framework which unifies a variety of question answering tasks, such as, visual question answering, visual entailment, visual reasoning…

cs.CV2022

FindIt: Generalized Localization with Natural Language Queries

Weicheng Kuo, Fred Bertsch, Wei Li +3

We propose FindIt, a simple and versatile framework that unifies a variety of visual grounding and localization tasks including referring expression comprehension, text-based local…