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05/31/2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Vision and Language (VL) models offer an effective method for aligning r...
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05/10/2023
Incorporating Structured Representations into Pretrained Vision Language Models Using Scene Graphs
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
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12/08/2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Action recognition models have achieved impressive results by incorporat...
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11/25/2022
MAEDAY: MAE for few and zero shot AnomalY-Detection
The goal of Anomaly-Detection (AD) is to identify outliers, or outlying ...
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11/23/2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Computer vision models suffer from a phenomenon known as catastrophic fo...
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11/21/2022
Teaching Structured Vision Language Concepts to Vision Language Models
Vision and Language (VL) models have demonstrated remarkable zero-shot p...
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11/17/2022
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
Recently, large-scale pre-trained Vision-and-Language (VL) foundation mo...
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09/08/2022
FETA: Towards Specializing Foundation Models for Expert Task Applications
Foundation Models (FMs) have demonstrated unprecedented capabilities inc...
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12/04/2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly d...
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11/28/2021
CHARTER: heatmap-based multi-type chart data extraction
The digital conversion of information stored in documents is a great sou...
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04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
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05/06/2020
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
We present the DeepHist - a novel Deep Learning framework for augmenting...
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12/12/2019
Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions
We present the Hue-Net - a novel Deep Learning framework for Intensity-b...
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04/09/2019
QANet - Quality Assurance Network for Microscopy Cell Segmentation
Tools and methods for automatic image segmentation are rapidly developin...
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05/29/2018
Microscopy Cell Segmentation via Convolutional LSTM Networks
Live cell microscopy sequences exhibit complex spatial structures and co...
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09/18/2017
