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09/02/2023
Contrastive Feature Masking Open-Vocabulary Vision Transformer
We present Contrastive Feature Masking Vision Transformer (CFM-ViT) - an...
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06/02/2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Observing the close relationship among panoptic, semantic and instance s...
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05/11/2023
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
We present Region-aware Open-vocabulary Vision Transformers (RO-ViT) - a...
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04/12/2023
RECLIP: Resource-efficient CLIP by Training with Small Images
We present RECLIP (Resource-efficient CLIP), a simple method that minimi...
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03/29/2023
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
The development of language models have moved from encoder-decoder to de...
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12/06/2022
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
We present a simple approach which can turn a ViT encoder into an effici...
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09/30/2022
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models
We present F-VLM, a simple open-vocabulary object detection method built...
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09/14/2022
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Effective scaling and a flexible task interface enable large language mo...
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09/09/2022
Pre-training image-language transformers for open-vocabulary tasks
We present a pre-training approach for vision and language transformer m...
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08/01/2022
Video Question Answering with Iterative Video-Text Co-Tokenization
Video question answering is a challenging task that requires understandi...
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05/02/2022
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering
We present Answer-Me, a task-aware multi-task framework which unifies a ...
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03/31/2022
FindIt: Generalized Localization with Natural Language Queries
We propose FindIt, a simple and versatile framework that unifies a varie...
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08/20/2021
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image
3D perception of object shapes from RGB image input is fundamental towar...
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08/15/2021
Learning Open-World Object Proposals without Learning to Classify
Object proposals have become an integral preprocessing steps of many vis...
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05/03/2021
Noisy Student learning for cross-institution brain hemorrhage detection
Computed tomography (CT) is the imaging modality used in the diagnosis o...
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04/28/2021
Zero-Shot Detection via Vision and Language Knowledge Distillation
Zero-shot image classification has made promising progress by training t...
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07/26/2020
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
Object recognition has seen significant progress in the image domain, wi...
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04/05/2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Instance segmentation aims to detect and segment individual objects in a...
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09/08/2018
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection
Deep learning for clinical applications is subject to stringent performa...
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06/08/2018
PatchFCN for Intracranial Hemorrhage Detection
This paper studies the problem of detecting acute intracranial hemorrhag...
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05/08/2015