Media Summary: Final project presentation for the lecture Advanced Deep Learning for Computer Vision by Prof. Niessner and Prof. Leal-Taixe at ... Authors: Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille Description: While image Ramakrishna Vedantam; Samy Bengio; Kevin Murphy; Devi Parikh; Gal Chechik We introduce an inference technique to produce ...

Scan2cap Context Aware Dense Captioning - Detailed Analysis & Overview

Final project presentation for the lecture Advanced Deep Learning for Computer Vision by Prof. Niessner and Prof. Leal-Taixe at ... Authors: Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille Description: While image Ramakrishna Vedantam; Samy Bengio; Kevin Murphy; Devi Parikh; Gal Chechik We introduce an inference technique to produce ... This study addresses the challenge of generating meaningful textual descriptions from visual data, a key problem at the ... This video is about DenseCap: Fully Convolutional Localization Networks for A talk hosted by the Rajpurkar Lab at Harvard, which works on developing medical AI. These talks cover recent papers or topics in ...

We propose an end-to-end model which generates

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Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
ADL4CV - Scan2Cap Presentation
Context-Aware Group Captioning via Self-Attention and Contrastive Features
Context-Aware Captions From Context-Agnostic Supervision | Spotlight 1-2A
Context-Aware Image Captioning Using DenseNet201 and LSTM with Bahdanau Attention
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
ActivityNet Dense Event Captioning Results
ActivityNet Event Dense-Captioning
SIGMETRICS'26 - CAP: Detecting Network Device Misconfigurations with Context-Aware Prompting of LLMs
Harvard Medical AI: Luca Weishaupt on "SMALLCAP: Image Captioning with Retrieval Augmentation"
Dense Captioning of Images - Video Demo
Transform and Tell: Entity-Aware News Image Captioning (CVPR 2020)
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Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Project: https://daveredrum.github.io/

ADL4CV - Scan2Cap Presentation

ADL4CV - Scan2Cap Presentation

Final project presentation for the lecture Advanced Deep Learning for Computer Vision by Prof. Niessner and Prof. Leal-Taixe at ...

Context-Aware Group Captioning via Self-Attention and Contrastive Features

Context-Aware Group Captioning via Self-Attention and Contrastive Features

Authors: Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille Description: While image

Context-Aware Captions From Context-Agnostic Supervision | Spotlight 1-2A

Context-Aware Captions From Context-Agnostic Supervision | Spotlight 1-2A

Ramakrishna Vedantam; Samy Bengio; Kevin Murphy; Devi Parikh; Gal Chechik We introduce an inference technique to produce ...

Context-Aware Image Captioning Using DenseNet201 and LSTM with Bahdanau Attention

Context-Aware Image Captioning Using DenseNet201 and LSTM with Bahdanau Attention

This study addresses the challenge of generating meaningful textual descriptions from visual data, a key problem at the ...

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

DenseCap: Fully Convolutional Localization Networks for Dense Captioning

This video is about DenseCap: Fully Convolutional Localization Networks for

ActivityNet Dense Event Captioning Results

ActivityNet Dense Event Captioning Results

Dense

ActivityNet Event Dense-Captioning

ActivityNet Event Dense-Captioning

Dense

SIGMETRICS'26 - CAP: Detecting Network Device Misconfigurations with Context-Aware Prompting of LLMs

SIGMETRICS'26 - CAP: Detecting Network Device Misconfigurations with Context-Aware Prompting of LLMs

... ability to conduct content

Harvard Medical AI: Luca Weishaupt on "SMALLCAP: Image Captioning with Retrieval Augmentation"

Harvard Medical AI: Luca Weishaupt on "SMALLCAP: Image Captioning with Retrieval Augmentation"

A talk hosted by the Rajpurkar Lab at Harvard, which works on developing medical AI. These talks cover recent papers or topics in ...

Dense Captioning of Images - Video Demo

Dense Captioning of Images - Video Demo

Final Year Project Video Demo

Transform and Tell: Entity-Aware News Image Captioning (CVPR 2020)

Transform and Tell: Entity-Aware News Image Captioning (CVPR 2020)

We propose an end-to-end model which generates

CVPR 2021 Paper Compilation - TUM Visual Computing Lab & Collaborators

CVPR 2021 Paper Compilation - TUM Visual Computing Lab & Collaborators

... Saining Xie